docs: add release v2.15.0 (#2875)

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# Attestation
This page explains Constellation's attestation process and highlights the cornerstones of its trust model.
## Terms
The following lists terms and concepts that help to understand the attestation concept of Constellation.
### Trusted Platform Module (TPM)
A TPM chip is a dedicated tamper-resistant crypto-processor.
It can securely store artifacts such as passwords, certificates, encryption keys, or *runtime measurements* (more on this below).
When a TPM is implemented in software, it's typically called a *virtual* TPM (vTPM).
### Runtime measurement
A runtime measurement is a cryptographic hash of the memory pages of a so called *runtime component*. Runtime components of interest typically include a system's bootloader or OS kernel.
### Platform Configuration Register (PCR)
A Platform Configuration Register (PCR) is a memory location in the TPM that has some unique properties.
To store a new value in a PCR, the existing value is extended with a new value as follows:
```
PCR[N] = HASHalg( PCR[N] || ArgumentOfExtend )
```
The PCRs are typically used to store runtime measurements.
The new value of a PCR is always an extension of the existing value.
Thus, storing the measurements of multiple components into the same PCR irreversibly links them together.
### Measured boot
Measured boot builds on the concept of chained runtime measurements.
Each component in the boot chain loads and measures the next component into the PCR before executing it.
By comparing the resulting PCR values against trusted reference values, the integrity of the entire boot chain and thereby the running system can be ensured.
### Remote attestation (RA)
Remote attestation is the process of verifying certain properties of an application or platform, such as integrity and confidentiality, from a remote location.
In the case of a measured boot, the goal is to obtain a signed attestation statement on the PCR values of the boot measurements.
The statement can then be verified and compared to a set of trusted reference values.
This way, the integrity of the platform can be ensured before sharing secrets with it.
### Confidential virtual machine (CVM)
Confidential computing (CC) is the protection of data in-use with hardware-based trusted execution environments (TEEs).
With CVMs, TEEs encapsulate entire virtual machines and isolate them against the hypervisor, other VMs, and direct memory access.
After loading the initial VM image into encrypted memory, the hypervisor calls for a secure processor to measure these initial memory pages.
The secure processor locks these pages and generates an attestation report on the initial page measurements.
CVM memory pages are encrypted with a key that resides inside the secure processor, which makes sure only the guest VM can access them.
The attestation report is signed by the secure processor and can be verified using remote attestation via the certificate authority of the hardware vendor.
Such an attestation statement guarantees the confidentiality and integrity of a CVM.
### Attested TLS (aTLS)
In a CC environment, attested TLS (aTLS) can be used to establish secure connections between two parties using the remote attestation features of the CC components.
aTLS modifies the TLS handshake by embedding an attestation statement into the TLS certificate.
Instead of relying on a certificate authority, aTLS uses this attestation statement to establish trust in the certificate.
The protocol can be used by clients to verify a server certificate, by a server to verify a client certificate, or for mutual verification (mutual aTLS).
## Overview
The challenge for Constellation is to lift a CVM's attestation statement to the Kubernetes software layer and make it end-to-end verifiable.
From there, Constellation needs to expand the attestation from a single CVM to the entire cluster.
The [*JoinService*](microservices.md#joinservice) and [*VerificationService*](microservices.md#verificationservice) are where all runs together.
Internally, the *JoinService* uses remote attestation to securely join CVM nodes to the cluster.
Externally, the *VerificationService* provides an attestation statement for the cluster's CVMs and configuration.
The following explains the details of both steps.
## Node attestation
The idea is that Constellation nodes should have verifiable integrity from the CVM hardware measurement up to the Kubernetes software layer.
The solution is a verifiable boot chain and an integrity-protected runtime environment.
Constellation uses measured boot within CVMs, measuring each component in the boot process before executing it.
Outside of CC, it's usually implemented via TPMs.
CVM technologies differ in how they implement runtime measurements, but the general concepts are similar to those of a TPM.
For simplicity, TPM terminology like *PCR* is used in the following.
When a Constellation node image boots inside a CVM, it uses measured boot for all stages and components of the boot chain.
This process goes up to the root filesystem.
The root filesystem is mounted read-only with integrity protection, guaranteeing forward integrity.
For the details on the image and boot stages see the [image architecture](../architecture/images.md) documentation.
Any changes to the image will inevitably also change the measured boot's PCR values.
To create a node attestation statement, the Constellation image obtains a CVM attestation statement from the hardware.
This includes the runtime measurements and thereby binds the measured boot results to the CVM hardware measurement.
In addition to the image measurements, Constellation extends a PCR during the [initialization phase](../workflows/create.md) that irrevocably marks the node as initialized.
The measurement is created using the [*clusterID*](../architecture/keys.md#cluster-identity), tying all future attestation statements to this ID.
Thereby, an attestation statement is unique for every cluster and a node can be identified unambiguously as being initialized.
To verify an attestation, the hardware's signature and a statement are verified first to establish trust in the contained runtime measurements.
If successful, the measurements are verified against the trusted values of the particular Constellation release version.
Finally, the measurement of the *clusterID* can be compared by calculating it with the [master secret](keys.md#master-secret).
### Runtime measurements
Constellation uses runtime measurements to implement the measured boot approach.
As stated above, the underlying hardware technology and guest firmware differ in their implementations of runtime measurements.
The following gives a detailed description of the available measurements in the different cloud environments.
The runtime measurements consist of two types of values:
* **Measurements produced by the cloud infrastructure and firmware of the CVM**:
These are measurements of closed-source firmware and other values controlled by the cloud provider.
While not being reproducible for the user, some of them can be compared against previously observed values.
Others may change frequently and aren't suitable for verification.
The [signed image measurements](#chain-of-trust) include measurements that are known, previously observed values.
* **Measurements produced by the Constellation bootloader and boot chain**:
The Constellation Bootloader takes over from the CVM firmware and [measures the rest of the boot chain](images.md).
The Constellation [Bootstrapper](microservices.md#bootstrapper) is the first user mode component that runs in a Constellation image.
It extends PCR registers with the [IDs](keys.md#cluster-identity) of the cluster marking a node as initialized.
Constellation allows to specify in the config which measurements should be enforced during the attestation process.
Enforcing non-reproducible measurements controlled by the cloud provider means that changes in these values require manual updates to the cluster's config.
By default, Constellation only enforces measurements that are stable values produced by the infrastructure or by Constellation directly.
<tabs groupId="csp">
<tabItem value="azure" label="Azure">
Constellation uses the [vTPM](https://docs.microsoft.com/en-us/azure/virtual-machines/trusted-launch#vtpm) feature of Azure CVMs for runtime measurements.
This vTPM adheres to the [TPM 2.0](https://trustedcomputinggroup.org/resource/tpm-library-specification/) specification.
It provides a [measured boot](https://docs.microsoft.com/en-us/azure/security/fundamentals/measured-boot-host-attestation#measured-boot) verification that's based on the trusted launch feature of [Trusted Launch VMs](https://docs.microsoft.com/en-us/azure/virtual-machines/trusted-launch).
The following table lists all PCR values of the vTPM and the measured components.
It also lists what components of the boot chain did the measurements and if the value is reproducible and verifiable.
The latter means that the value can be generated offline and compared to the one in the vTPM.
| PCR | Components | Measured by | Reproducible and verifiable |
| ----------- | ---------------------------------------------------------------- | -------------------------------------- | --------------------------- |
| 0 | Firmware | Azure | No |
| 1 | Firmware | Azure | No |
| 2 | Firmware | Azure | No |
| 3 | Firmware | Azure | No |
| 4 | Constellation Bootloader, Kernel, initramfs, Kernel command line | Azure, Constellation Bootloader | Yes |
| 5 | Reserved | Azure | No |
| 6 | VM Unique ID | Azure | No |
| 7 | Secure Boot State | Azure, Constellation Bootloader | No |
| 8 | - | - | - |
| 9 | initramfs, Kernel command line | Linux Kernel | Yes |
| 10 | User space | Linux IMA | No[^1] |
| 11 | Unified Kernel Image components | Constellation Bootloader | Yes |
| 12 | Reserved | (User space, Constellation Bootloader) | Yes |
| 13 | Reserved | (Constellation Bootloader) | Yes |
| 14 | Secure Boot State | Constellation Bootloader | No |
| 15 | ClusterID | Constellation Bootstrapper | Yes |
| 16&ndash;23 | Unused | - | - |
</tabItem>
<tabItem value="gcp" label="GCP">
Constellation uses the [vTPM](https://cloud.google.com/compute/confidential-vm/docs/about-cvm) feature of CVMs on GCP for runtime measurements.
Note that this vTPM doesn't run inside the hardware-protected CVM context, but is emulated by the hypervisor.
The vTPM adheres to the [TPM 2.0](https://trustedcomputinggroup.org/resource/tpm-library-specification/) specification.
It provides a [launch attestation report](https://cloud.google.com/compute/confidential-vm/docs/monitoring#about_launch_attestation_report_events) that's based on the measured boot feature of [Shielded VMs](https://cloud.google.com/compute/shielded-vm/docs/shielded-vm#measured-boot).
The following table lists all PCR values of the vTPM and the measured components.
It also lists what components of the boot chain did the measurements and if the value is reproducible and verifiable.
The latter means that the value can be generated offline and compared to the one in the vTPM.
| PCR | Components | Measured by | Reproducible and verifiable |
| ----------- | ---------------------------------------------------------------- | -------------------------------------- | --------------------------- |
| 0 | CVM version and technology | GCP | No |
| 1 | Firmware | GCP | No |
| 2 | Firmware | GCP | No |
| 3 | Firmware | GCP | No |
| 4 | Constellation Bootloader, Kernel, initramfs, Kernel command line | GCP, Constellation Bootloader | Yes |
| 5 | Disk GUID partition table | GCP | No |
| 6 | Disk GUID partition table | GCP | No |
| 7 | GCP Secure Boot Policy | GCP, Constellation Bootloader | No |
| 8 | - | - | - |
| 9 | initramfs, Kernel command line | Linux Kernel | Yes |
| 10 | User space | Linux IMA | No[^1] |
| 11 | Unified Kernel Image components | Constellation Bootloader | Yes |
| 12 | Reserved | (User space, Constellation Bootloader) | Yes |
| 13 | Reserved | (Constellation Bootloader) | Yes |
| 14 | Secure Boot State | Constellation Bootloader | No |
| 15 | ClusterID | Constellation Bootstrapper | Yes |
| 16&ndash;23 | Unused | - | - |
</tabItem>
<tabItem value="aws" label="AWS">
Constellation uses the [vTPM](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/nitrotpm.html) (NitroTPM) feature of the [AWS Nitro System](http://aws.amazon.com/ec2/nitro/) on AWS for runtime measurements.
The vTPM adheres to the [TPM 2.0](https://trustedcomputinggroup.org/resource/tpm-library-specification/) specification.
The VMs are attested by obtaining signed PCR values over the VM's boot configuration from the TPM and comparing them to a known, good state (measured boot).
The following table lists all PCR values of the vTPM and the measured components.
It also lists what components of the boot chain did the measurements and if the value is reproducible and verifiable.
The latter means that the value can be generated offline and compared to the one in the vTPM.
| PCR | Components | Measured by | Reproducible and verifiable |
| ----------- | ---------------------------------------------------------------- | -------------------------------------- | --------------------------- |
| 0 | Firmware | AWS | No |
| 1 | Firmware | AWS | No |
| 2 | Firmware | AWS | No |
| 3 | Firmware | AWS | No |
| 4 | Constellation Bootloader, Kernel, initramfs, Kernel command line | AWS, Constellation Bootloader | Yes |
| 5 | Firmware | AWS | No |
| 6 | Firmware | AWS | No |
| 7 | Secure Boot Policy | AWS, Constellation Bootloader | No |
| 8 | - | - | - |
| 9 | initramfs, Kernel command line | Linux Kernel | Yes |
| 10 | User space | Linux IMA | No[^1] |
| 11 | Unified Kernel Image components | Constellation Bootloader | Yes |
| 12 | Reserved | (User space, Constellation Bootloader) | Yes |
| 13 | Reserved | (Constellation Bootloader) | Yes |
| 14 | Secure Boot State | Constellation Bootloader | No |
| 15 | ClusterID | Constellation Bootstrapper | Yes |
| 16&ndash;23 | Unused | - | - |
</tabItem>
</tabs>
### CVM verification
To verify the integrity of the received attestation statement, a chain of trust from the CVM technology to the interface providing the statement has to be established.
For verification of the CVM technology, Constellation may expose additional options in its config file.
<tabs groupId="csp">
<tabItem value="azure" label="Azure SEV-SNP">
On Azure, AMD SEV-SNP is used to provide runtime encryption to the VMs.
An SEV-SNP attestation report is used to establish trust in the vTPM running inside the VM.
You may customize certain parameters for verification of the attestation statement using the Constellation config file.
* TCB versions
You can set the minimum version numbers of components in the SEV-SNP TCB.
Use the latest versions to enforce that only machines with the most recent firmware updates are allowed to join the cluster.
Alternatively, you can set a lower minimum version to allow slightly out-of-date machines to still be able to join the cluster.
* AMD Root Key Certificate
This certificate is the root of trust for verifying the SEV-SNP certificate chain.
* Firmware Signer
This config option allows you to specify how the firmware signer should be verified.
More explicitly, it controls the verification of the `IDKeyDigest` value in the SEV-SNP attestation report.
You can provide a list of accepted key digests and specify a policy on how this list is compared against the reported `IDKeyDigest`.
</tabItem>
<tabItem value="gcp" label="GCP">
There is no additional configuration available for GCP.
</tabItem>
<tabItem value="aws" label="AWS">
On AWS, AMD SEV-SNP is used to provide runtime encryption to the VMs.
An SEV-SNP attestation report is used to establish trust in the VM and it's vTPM.
You may customize certain parameters for verification of the attestation statement using the Constellation config file.
* TCB versions
You can set the minimum version numbers of components in the SEV-SNP TCB.
Use the latest versions to enforce that only machines with the most recent firmware updates are allowed to join the cluster.
Alternatively, you can set a lower minimum version to allow slightly out-of-date machines to still be able to join the cluster.
* AMD Root Key Certificate
This certificate is the root of trust for verifying the SEV-SNP certificate chain.
* AMD Signing Key Certificate
This is the intermediate certificate for verifying the SEV-SNP report's signature.
If it's not specified, the CLI fetches it from the AMD key distribution server.
</tabItem>
</tabs>
## Cluster attestation
Cluster-facing, Constellation's [*JoinService*](microservices.md#joinservice) verifies each node joining the cluster given the configured ground truth runtime measurements.
User-facing, the [*VerificationService*](microservices.md#verificationservice) provides an interface to verify a node using remote attestation.
By verifying the first node during the [initialization](microservices.md#bootstrapper) and configuring the ground truth measurements that are subsequently enforced by the *JoinService*, the whole cluster is verified in a transitive way.
### Cluster-facing attestation
The *JoinService* is provided with the runtime measurements of the whitelisted Constellation image version as the ground truth.
During the initialization and the cluster bootstrapping, each node connects to the *JoinService* using [aTLS](#attested-tls-atls).
During the handshake, the node transmits an attestation statement including its runtime measurements.
The *JoinService* verifies that statement and compares the measurements against the ground truth.
For details of the initialization process check the [microservice descriptions](microservices.md).
After the initialization, every node updates its runtime measurements with the *clusterID* value, marking it irreversibly as initialized.
When an initialized node tries to join another cluster, its measurements inevitably mismatch the measurements of an uninitialized node and it will be declined.
### User-facing attestation
The [*VerificationService*](microservices.md#verificationservice) provides an endpoint for obtaining its hardware-based remote attestation statement, which includes the runtime measurements.
A user can [verify](../workflows/verify-cluster.md) this statement and compare the measurements against the configured ground truth and, thus, verify the identity and integrity of all Constellation components and the cluster configuration. Subsequently, the user knows that the entire cluster is in the expected state and is trustworthy.
## Chain of trust
So far, this page described how an entire Constellation cluster can be verified using hardware attestation capabilities and runtime measurements.
The last missing link is how the ground truth in the form of runtime measurements can be securely distributed to the verifying party.
The build process of Constellation images also creates the ground truth runtime measurements. <!-- soon: The builds of Constellation images are reproducible and the measurements of an image can be recalculated and verified by everyone. -->
With every release, Edgeless Systems publishes signed runtime measurements.
The CLI executable is also signed by Edgeless Systems.
You can [verify its signature](../workflows/verify-cli.md).
The CLI contains the public key required to verify signed runtime measurements from Edgeless Systems.
When a cluster is [created](../workflows/create.md) or [upgraded](../workflows/upgrade.md), the CLI automatically verifies the measurements for the selected image.
Thus, there's a chain of trust based on cryptographic signatures, which goes from CLI to runtime measurements to images. This is illustrated in the following diagram.
```mermaid
flowchart LR
A[Edgeless]-- "signs (cosign)" -->B[CLI]
C[User]-- "verifies (cosign)" -->B[CLI]
B[CLI]-- "contains" -->D["Public Key"]
A[Edgeless]-- "signs" -->E["Runtime measurements"]
D["Public key"]-- "verifies" -->E["Runtime measurements"]
E["Runtime measurements"]-- "verify" -->F["Constellation cluster"]
```
## References
[^1]: Linux IMA produces runtime measurements of user-space binaries.
However, these measurements aren't deterministic and thus, PCR\[10] can't be compared to a constant value.
Instead, a policy engine must be used to verify the TPM event log against a policy.

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# Encrypted persistent storage
Confidential VMs provide runtime memory encryption to protect data in use.
In the context of Kubernetes, this is sufficient for the confidentiality and integrity of stateless services.
Consider a front-end web server, for example, that keeps all connection information cached in main memory.
No sensitive data is ever written to an insecure medium.
However, many real-world applications need some form of state or data-lake service that's connected to a persistent storage device and requires encryption at rest.
As described in [Use persistent storage](../workflows/storage.md), cloud service providers (CSPs) use the container storage interface (CSI) to make their storage solutions available to Kubernetes workloads.
These CSI storage solutions often support some sort of encryption.
For example, Google Cloud [encrypts data at rest by default](https://cloud.google.com/security/encryption/default-encryption), without any action required by the customer.
## Cloud provider-managed encryption
CSP-managed storage solutions encrypt the data in the cloud backend before writing it physically to disk.
In the context of confidential computing and Constellation, the CSP and its managed services aren't trusted.
Hence, cloud provider-managed encryption protects your data from offline hardware access to physical storage devices.
It doesn't protect it from anyone with infrastructure-level access to the storage backend or a malicious insider in the cloud platform.
Even with "bring your own key" or similar concepts, the CSP performs the encryption process with access to the keys and plaintext data.
In the security model of Constellation, securing persistent storage and thereby data at rest requires that all cryptographic operations are performed inside a trusted execution environment.
Consequently, using CSP-managed encryption of persistent storage usually isn't an option.
## Constellation-managed encryption
Constellation provides CSI drivers for storage solutions in all major clouds with built-in encryption support.
Block storage provisioned by the CSP is [mapped](https://guix.gnu.org/manual/en/html_node/Mapped-Devices.html) using the [dm-crypt](https://www.kernel.org/doc/html/latest/admin-guide/device-mapper/dm-crypt.html), and optionally the [dm-integrity](https://www.kernel.org/doc/html/latest/admin-guide/device-mapper/dm-integrity.html), kernel modules, before it's formatted and accessed by the Kubernetes workloads.
All cryptographic operations happen inside the trusted environment of the confidential Constellation node.
Note that for integrity-protected disks, [volume expansion](https://kubernetes.io/blog/2018/07/12/resizing-persistent-volumes-using-kubernetes/) isn't supported.
By default the driver uses data encryption keys (DEKs) issued by the Constellation [*KeyService*](microservices.md#keyservice).
The DEKs are in turn derived from the Constellation's key encryption key (KEK), which is directly derived from the [master secret](keys.md#master-secret).
This is the recommended mode of operation, and also requires the least amount of setup by the cluster administrator.
Alternatively, the driver can be configured to use a key management system to store and access KEKs and DEKs.
Refer to [keys and cryptography](keys.md) for more details on key management in Constellation.
Once deployed and configured, the CSI driver ensures transparent encryption and integrity of all persistent volumes provisioned via its storage class.
Data at rest is secured without any additional actions required by the developer.
## Cryptographic algorithms
This section gives an overview of the libraries, cryptographic algorithms, and their configurations, used in Constellation's CSI drivers.
### dm-crypt
To interact with the dm-crypt kernel module, Constellation uses [libcryptsetup](https://gitlab.com/cryptsetup/cryptsetup/).
New devices are formatted as [LUKS2](https://gitlab.com/cryptsetup/LUKS2-docs/-/tree/master) partitions with a sector size of 4096 bytes.
The used key derivation function is [Argon2id](https://datatracker.ietf.org/doc/html/rfc9106) with the [recommended parameters for memory-constrained environments](https://datatracker.ietf.org/doc/html/rfc9106#section-7.4) of 3 iterations and 64 MiB of memory, utilizing 4 parallel threads.
For encryption Constellation uses AES in XTS-Plain64. The key size is 512 bit.
### dm-integrity
To interact with the dm-integrity kernel module, Constellation uses [libcryptsetup](https://gitlab.com/cryptsetup/cryptsetup/).
When enabled, the used data integrity algorithm is [HMAC](https://datatracker.ietf.org/doc/html/rfc2104) with SHA256 as the hash function.
The tag size is 32 Bytes.
## Encrypted S3 object storage
Constellation comes with a service that you can use to transparently retrofit client-side encryption to existing applications that use S3 (AWS or compatible) for storage.
To learn more, check out the [s3proxy documentation](../workflows/s3proxy.md).

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# Constellation images
Constellation uses a minimal version of Fedora as the operating system running inside confidential VMs. This Linux distribution is optimized for containers and designed to be stateless.
The Constellation images provide measured boot and an immutable filesystem.
## Measured boot
```mermaid
flowchart LR
Firmware --> Bootloader
Bootloader --> uki
subgraph uki[Unified Kernel Image]
Kernel[Kernel]
initramfs[Initramfs]
cmdline[Kernel Command Line]
end
uki --> rootfs[Root Filesystem]
```
Measured boot uses a Trusted Platform Module (TPM) to measure every part of the boot process. This allows for verification of the integrity of a running system at any point in time. To ensure correct measurements of every stage, each stage is responsible to measure the next stage before transitioning.
### Firmware
With confidential VMs, the firmware is the root of trust and is measured automatically at boot. After initialization, the firmware will load and measure the bootloader before executing it.
### Bootloader
The bootloader is the first modifiable part of the boot chain. The bootloader is tasked with loading the kernel, initramfs and setting the kernel command line. The Constellation bootloader measures these components before starting the kernel.
### initramfs
The initramfs is a small filesystem loaded to prepare the actual root filesystem. The Constellation initramfs maps the block device containing the root filesystem with [dm-verity](https://www.kernel.org/doc/html/latest/admin-guide/device-mapper/verity.html). The initramfs then mounts the root filesystem from the mapped block device.
dm-verity provides integrity checking using a cryptographic hash tree. When a block is read, its integrity is checked by verifying the tree against a trusted root hash. The initramfs reads this root hash from the previously measured kernel command line. Thus, if any block of the root filesystem's device is modified on disk, trying to read the modified block will result in a kernel panic at runtime.
After mounting the root filesystem, the initramfs will switch over and start the `init` process of the integrity-protected root filesystem.
## State disk
In addition to the read-only root filesystem, each Constellation node has a disk for storing state data.
This disk is mounted readable and writable by the initramfs and contains data that should persist across reboots.
Such data can contain sensitive information and, therefore, must be stored securely.
To that end, the state disk is protected by authenticated encryption.
See the section on [keys and encryption](keys.md#storage-encryption) for more information on the cryptographic primitives in use.
## Kubernetes components
During initialization, the [*Bootstrapper*](microservices.md#bootstrapper) downloads and verifies the [Kubernetes components](https://kubernetes.io/docs/concepts/overview/components/) as configured by the user.
They're stored on the state partition and can be updated once new releases need to be installed.

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# Key management and cryptographic primitives
Constellation protects and isolates your cluster and workloads.
To that end, cryptography is the foundation that ensures the confidentiality and integrity of all components.
Evaluating the security and compliance of Constellation requires a precise understanding of the cryptographic primitives and keys used.
The following gives an overview of the architecture and explains the technical details.
## Confidential VMs
Confidential VM (CVM) technology comes with hardware and software components for memory encryption, isolation, and remote attestation.
For details on the implementations and cryptographic soundness, refer to the hardware vendors' documentation and advisories.
## Master secret
The master secret is the cryptographic material used for deriving the [*clusterID*](#cluster-identity) and the *key encryption key (KEK)* for [storage encryption](#storage-encryption).
It's generated during the bootstrapping of a Constellation cluster.
It can either be managed by [Constellation](#constellation-managed-key-management) or an [external key management system](#user-managed-key-management).
In case of [recovery](#recovery-and-migration), the master secret allows to decrypt the state and recover a Constellation cluster.
## Cluster identity
The identity of a Constellation cluster is represented by cryptographic [measurements](attestation.md#runtime-measurements):
The **base measurements** represent the identity of a valid, uninitialized Constellation node.
They depend on the node image, but are otherwise the same for every Constellation cluster.
On node boot, they're determined using the CVM's attestation mechanism and [measured boot up to the read-only root filesystem](images.md).
The **clusterID** represents the identity of a single initialized Constellation cluster.
It's derived from the master secret and a cryptographically random salt and unique for every Constellation cluster.
The [Bootstrapper](microservices.md#bootstrapper) measures the *clusterID* into its own PCR before executing any code not measured as part of the *base measurements*.
See [Node attestation](attestation.md#node-attestation) for details.
The remote attestation statement of a Constellation cluster combines the *base measurements* and the *clusterID* for a verifiable, unspoofable, unique identity.
## Network encryption
Constellation encrypts all cluster network communication using the [container network interface (CNI)](https://github.com/containernetworking/cni).
See [network encryption](networking.md) for more details.
The Cilium agent running on each node establishes a secure [WireGuard](https://www.wireguard.com/) tunnel between it and all other known nodes in the cluster.
Each node creates its own [Curve25519](http://cr.yp.to/ecdh.html) encryption key pair and distributes its public key via Kubernetes.
A node uses another node's public key to decrypt and encrypt traffic from and to Cilium-managed endpoints running on that node.
Connections are always encrypted peer-to-peer using [ChaCha20](http://cr.yp.to/chacha.html) with [Poly1305](http://cr.yp.to/mac.html).
WireGuard implements [forward secrecy with key rotation every 2 minutes](https://lists.zx2c4.com/pipermail/wireguard/2017-December/002141.html).
Cilium supports [key rotation](https://docs.cilium.io/en/stable/security/network/encryption-ipsec/#key-rotation) for the long-term node keys via Kubernetes secrets.
## Storage encryption
Constellation supports transparent encryption of persistent storage.
The Linux kernel's device mapper-based encryption features are used to encrypt the data on the block storage level.
Currently, the following primitives are used for block storage encryption:
* [dm-crypt](https://www.kernel.org/doc/html/latest/admin-guide/device-mapper/dm-crypt.html)
* [dm-integrity](https://www.kernel.org/doc/html/latest/admin-guide/device-mapper/dm-integrity.html)
Adding primitives for integrity protection in the CVM attacker model are under active development and will be available in a future version of Constellation.
See [encrypted storage](encrypted-storage.md) for more details.
As a cluster administrator, when creating a cluster, you can use the Constellation [installation program](orchestration.md) to select one of the following methods for key management:
* Constellation-managed key management
* User-managed key management
### Constellation-managed key management
#### Key material and key derivation
During the creation of a Constellation cluster, the cluster's master secret is used to derive a KEK.
This means creating two clusters with the same master secret will yield the same KEK.
Any data encryption key (DEK) is derived from the KEK via HKDF.
Note that the master secret is recommended to be unique for every cluster and shouldn't be reused (except in case of [recovering](../workflows/recovery.md) a cluster).
#### State and storage
The KEK is derived from the master secret during the initialization.
Subsequently, all other key material is derived from the KEK.
Given the same KEK, any DEK can be derived deterministically from a given identifier.
Hence, there is no need to store DEKs. They can be derived on demand.
After the KEK was derived, it's stored in memory only and never leaves the CVM context.
#### Availability
Constellation-managed key management has the same availability as the underlying Kubernetes cluster.
Therefore, the KEK is stored in the [distributed Kubernetes etcd storage](https://kubernetes.io/docs/tasks/administer-cluster/configure-upgrade-etcd/) to allow for unexpected but non-fatal (control-plane) node failure.
The etcd storage is backed by the encrypted and integrity protected [state disk](images.md#state-disk) of the nodes.
#### Recovery
Constellation clusters can be recovered in the event of a disaster, even when all node machines have been stopped and need to be rebooted.
For details on the process see the [recovery workflow](../workflows/recovery.md).
### User-managed key management
User-managed key management is under active development and will be available soon.
In scenarios where constellation-managed key management isn't an option, this mode allows you to keep full control of your keys.
For example, compliance requirements may force you to keep your KEKs in an on-prem key management system (KMS).
During the creation of a Constellation cluster, you specify a KEK present in a remote KMS.
This follows the common scheme of "bring your own key" (BYOK).
Constellation will support several KMSs for managing the storage and access of your KEK.
Initially, it will support the following KMSs:
* [AWS KMS](https://aws.amazon.com/kms/)
* [GCP KMS](https://cloud.google.com/security-key-management)
* [Azure Key Vault](https://azure.microsoft.com/en-us/services/key-vault/#product-overview)
* [KMIP-compatible KMS](https://www.oasis-open.org/committees/tc_home.php?wg_abbrev=kmip)
Storing the keys in Cloud KMS of AWS, GCP, or Azure binds the key usage to the particular cloud identity access management (IAM).
In the future, Constellation will support remote attestation-based access policies for Cloud KMS once available.
Note that using a Cloud KMS limits the isolation and protection to the guarantees of the particular offering.
KMIP support allows you to use your KMIP-compatible on-prem KMS and keep full control over your keys.
This follows the common scheme of "hold your own key" (HYOK).
The KEK is used to encrypt per-data "data encryption keys" (DEKs).
DEKs are generated to encrypt your data before storing it on persistent storage.
After being encrypted by the KEK, the DEKs are stored on dedicated cloud storage for persistence.
Currently, Constellation supports the following cloud storage options:
* [AWS S3](https://aws.amazon.com/s3/)
* [GCP Cloud Storage](https://cloud.google.com/storage)
* [Azure Blob Storage](https://azure.microsoft.com/en-us/services/storage/blobs/#overview)
The DEKs are only present in plaintext form in the encrypted main memory of the CVMs.
Similarly, the cryptographic operations for encrypting data before writing it to persistent storage are performed in the context of the CVMs.
#### Recovery and migration
In the case of a disaster, the KEK can be used to decrypt the DEKs locally and subsequently use them to decrypt and retrieve the data.
In case of migration, configuring the same KEK will provide seamless migration of data.
Thus, only the DEK storage needs to be transferred to the new cluster alongside the encrypted data for seamless migration.

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# Microservices
Constellation takes care of bootstrapping and initializing a Confidential Kubernetes cluster.
During the lifetime of the cluster, it handles day 2 operations such as key management, remote attestation, and updates.
These features are provided by several microservices:
* The [Bootstrapper](microservices.md#bootstrapper) initializes a Constellation node and bootstraps the cluster
* The [JoinService](microservices.md#joinservice) joins new nodes to an existing cluster
* The [VerificationService](microservices.md#verificationservice) provides remote attestation functionality
* The [KeyService](microservices.md#keyservice) manages Constellation-internal keys
The relations between microservices are shown in the following diagram:
```mermaid
flowchart LR
subgraph admin [Admin's machine]
A[Constellation CLI]
end
subgraph img [Constellation OS image]
B[Constellation OS]
C[Bootstrapper]
end
subgraph Kubernetes
D[JoinService]
E[KeyService]
F[VerificationService]
end
A -- deploys -->
B -- starts --> C
C -- deploys --> D
C -- deploys --> E
C -- deploys --> F
```
## Bootstrapper
The *Bootstrapper* is the first microservice launched after booting a Constellation node image.
It sets up that machine as a Kubernetes node and integrates that node into the Kubernetes cluster.
To this end, the *Bootstrapper* first downloads and verifies the [Kubernetes components](https://kubernetes.io/docs/concepts/overview/components/) at the configured versions.
The *Bootstrapper* tries to find an existing cluster and if successful, communicates with the [JoinService](microservices.md#joinservice) to join the node.
Otherwise, it waits for an initialization request to create a new Kubernetes cluster.
## JoinService
The *JoinService* runs as [DaemonSet](https://kubernetes.io/docs/concepts/workloads/controllers/daemonset/) on each control-plane node.
New nodes (at cluster start, or later through autoscaling) send a request to the service over [attested TLS (aTLS)](attestation.md#attested-tls-atls).
The *JoinService* verifies the new node's certificate and attestation statement.
If attestation is successful, the new node is supplied with an encryption key from the [*KeyService*](microservices.md#keyservice) for its state disk, and a Kubernetes bootstrap token.
```mermaid
sequenceDiagram
participant New node
participant JoinService
New node->>JoinService: aTLS handshake (server side verification)
JoinService-->>New node: #
New node->>+JoinService: IssueJoinTicket(DiskUUID, NodeName, IsControlPlane)
JoinService->>+KeyService: GetDataKey(DiskUUID)
KeyService-->>-JoinService: DiskEncryptionKey
JoinService-->>-New node: DiskEncryptionKey, KubernetesJoinToken, ...
```
## VerificationService
The *VerificationService* runs as DaemonSet on each node.
It provides user-facing functionality for remote attestation during the cluster's lifetime via an endpoint for [verifying the cluster](attestation.md#cluster-attestation).
Read more about the hardware-based [attestation feature](attestation.md) of Constellation and how to [verify](../workflows/verify-cluster.md) a cluster on the client side.
## KeyService
The *KeyService* runs as DaemonSet on each control-plane node.
It implements the key management for the [storage encryption keys](keys.md#storage-encryption) in Constellation. These keys are used for the [state disk](images.md#state-disk) of each node and the [transparently encrypted storage](encrypted-storage.md) for Kubernetes.
Depending on wether the [constellation-managed](keys.md#constellation-managed-key-management) or [user-managed](keys.md#user-managed-key-management) mode is used, the *KeyService* holds the key encryption key (KEK) directly or calls an external key management service (KMS) for key derivation respectively.

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# Network encryption
Constellation encrypts all pod communication using the [container network interface (CNI)](https://github.com/containernetworking/cni).
To that end, Constellation deploys, configures, and operates the [Cilium](https://cilium.io/) CNI plugin.
Cilium provides [transparent encryption](https://docs.cilium.io/en/stable/security/network/encryption) for all cluster traffic using either IPSec or [WireGuard](https://www.wireguard.com/).
Currently, Constellation only supports WireGuard as the encryption engine.
You can read more about the cryptographic soundness of WireGuard [in their white paper](https://www.wireguard.com/papers/wireguard.pdf).
Cilium is actively working on implementing a feature called [`host-to-host`](https://github.com/cilium/cilium/pull/19401) encryption mode for WireGuard.
With `host-to-host`, all traffic between nodes will be tunneled via WireGuard (host-to-host, host-to-pod, pod-to-host, pod-to-pod).
Until the `host-to-host` feature is released, Constellation enables `pod-to-pod` encryption.
This mode encrypts all traffic between Kubernetes pods using WireGuard tunnels.
When using Cilium in the default setup but with encryption enabled, there is a [known issue](https://docs.cilium.io/en/v1.12/gettingstarted/encryption/#egress-traffic-to-not-yet-discovered-remote-endpoints-may-be-unencrypted)
that can cause pod-to-pod traffic to be unencrypted.
To mitigate this issue, Constellation adds a *strict* mode to Cilium's `pod-to-pod` encryption.
This mode changes the default behavior of traffic that's destined for an unknown endpoint to not be send out in plaintext, but instead being dropped.
The strict mode distinguishes between traffic that's send to a pod from traffic that's destined for a cluster-external endpoint by considering the pod's CIDR range.
Traffic originating from hosts isn't encrypted yet.
This mainly includes health checks from Kubernetes API server.
Also, traffic proxied over the API server via e.g. `kubectl port-forward` isn't encrypted.

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# Observability
In Kubernetes, observability is the ability to gain insight into the behavior and performance of applications.
It helps identify and resolve issues more effectively, ensuring stability and performance of Kubernetes workloads, reducing downtime and outages, and improving efficiency.
The "three pillars of observability" are logs, metrics, and traces.
In the context of Confidential Computing, observability is a delicate subject and needs to be applied such that it doesn't leak any sensitive information.
The following gives an overview of where and how you can apply standard observability tools in Constellation.
## Cloud resource monitoring
While inaccessible, Constellation's nodes are still visible as black box VMs to the hypervisor.
Resource consumption, such as memory and CPU utilization, can be monitored from the outside and observed via the cloud platforms directly.
Similarly, other resources, such as storage and network and their respective metrics, are visible via the cloud platform.
## Metrics
Metrics are numeric representations of data measured over intervals of time. They're essential for understanding system health and gaining insights using telemetry signals.
By default, Constellation exposes the [metrics for Kubernetes system components](https://kubernetes.io/docs/concepts/cluster-administration/system-metrics/) inside the cluster.
Similarly, the [etcd metrics](https://etcd.io/docs/v3.5/metrics/) endpoints are exposed inside the cluster.
These [metrics endpoints can be disabled](https://kubernetes.io/docs/concepts/cluster-administration/system-metrics/#disabling-metrics).
You can collect these cluster-internal metrics via tools such as [Prometheus](https://prometheus.io/) or the [Elastic Stack](https://www.elastic.co/de/elastic-stack/).
Constellation's CNI Cilium also supports [metrics via Prometheus endpoints](https://docs.cilium.io/en/latest/observability/metrics/).
However, in Constellation, they're disabled by default and must be enabled first.
## Logs
Logs represent discrete events that usually describe what's happening with your service.
The payload is an actual message emitted from your system along with a metadata section containing a timestamp, labels, and tracking identifiers.
### System logs
Constellation uses cloud logging for events occurring during the early stages of a node's boot process.
These logs include [Bootstrapper](./microservices.md#bootstrapper) events and [state disk UUIDs](../architecture/images.md#state-disk).
You can access the cloud logging [directly via the cloud provider endpoints](../workflows/troubleshooting.md#cloud-logging).
More detailed system-level logs are accessible via `/var/log` and [journald](https://www.freedesktop.org/software/systemd/man/systemd-journald.service.html) on the nodes directly.
They can be collected from there, for example, via [Filebeat and Logstash](https://www.elastic.co/guide/en/beats/filebeat/current/logstash-output.html), which are tools of the [Elastic Stack](https://www.elastic.co/de/elastic-stack/).
In case of an error during the initialization, the CLI automatically collects the [Bootstrapper](./microservices.md#bootstrapper) logs and returns these as a file for [troubleshooting](../workflows/troubleshooting.md). Here is an example of such an event:
```shell-session
Cluster initialization failed. This error is not recoverable.
Terminate your cluster and try again.
Fetched bootstrapper logs are stored in "constellation-cluster.log"
```
### Kubernetes logs
Constellation supports the [Kubernetes logging architecture](https://kubernetes.io/docs/concepts/cluster-administration/logging/).
By default, logs are written to the nodes' encrypted state disks.
These include the Pod and container logs and the [system component logs](https://kubernetes.io/docs/concepts/cluster-administration/logging/#system-component-logs).
[Constellation services](microservices.md) run as Pods inside the `kube-system` namespace and use the standard container logging mechanism.
The same applies for the [Cilium Pods](https://docs.cilium.io/en/latest/operations/troubleshooting/#logs).
You can collect logs from within the cluster via tools such as [Fluentd](https://github.com/fluent/fluentd), [Loki](https://github.com/grafana/loki), or the [Elastic Stack](https://www.elastic.co/de/elastic-stack/).
## Traces
Modern systems are implemented as interconnected complex and distributed microservices. Understanding request flows and system communications is challenging, mainly because all systems in a chain need to be modified to propagate tracing information. Distributed tracing is a new approach to increasing observability and understanding performance bottlenecks. A trace represents consecutive events that reflect an end-to-end request path in a distributed system.
Constellation supports [traces for Kubernetes system components](https://kubernetes.io/docs/concepts/cluster-administration/system-traces/).
By default, they're disabled and need to be enabled first.
Similarly, Cilium can be enabled to [export traces](https://cilium.io/use-cases/metrics-export/).
You can collect these traces via tools such as [Jaeger](https://www.jaegertracing.io/) or [Zipkin](https://zipkin.io/).
## Integrations
Platforms and SaaS solutions such as Datadog, logz.io, Dynatrace, or New Relic facilitate the observability challenge for Kubernetes and provide all-in-one SaaS solutions.
They install agents into the cluster that collect metrics, logs, and tracing information and upload them into the data lake of the platform.
Technically, the agent-based approach is compatible with Constellation, and attaching these platforms is straightforward.
However, you need to evaluate if the exported data might violate Constellation's compliance and privacy guarantees by uploading them to a third-party platform.

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# Orchestrating Constellation clusters
You can use the CLI to create a cluster on the supported cloud platforms.
The CLI provisions the resources in your cloud environment and initiates the initialization of your cluster.
It uses a set of parameters and an optional configuration file to manage your cluster installation.
The CLI is also used for updating your cluster.
## Workspaces
Each Constellation cluster has an associated *workspace*.
The workspace is where data such as the Constellation state and config files are stored.
Each workspace is associated with a single cluster and configuration.
The CLI stores state in the local filesystem making the current directory the active workspace.
Multiple clusters require multiple workspaces, hence, multiple directories.
Note that every operation on a cluster always has to be performed from the directory associated with its workspace.
You may copy files from the workspace to other locations,
but you shouldn't move or delete them while the cluster is still being used.
The Constellation CLI takes care of managing the workspace.
Only when a cluster was terminated, and you are sure the files aren't needed anymore, should you remove a workspace.
## Cluster creation process
To allow for fine-grained configuration of your cluster and cloud environment, Constellation supports an extensive configuration file with strong defaults. [Generating the configuration file](../workflows/config.md) is typically the first thing you do in the workspace.
Altogether, the following files are generated during the creation of a Constellation cluster and stored in the current workspace:
* a configuration file
* a state file
* a Base64-encoded master secret
* [Terraform artifacts](../reference/terraform.md), stored in subdirectories
* a Kubernetes `kubeconfig` file.
After the initialization of your cluster, the CLI will provide you with a Kubernetes `kubeconfig` file.
This file grants you access to your Kubernetes cluster and configures the [kubectl](https://kubernetes.io/docs/concepts/configuration/organize-cluster-access-kubeconfig/) tool.
In addition, the cluster's [identifier](orchestration.md#post-installation-configuration) is returned and stored in the state file.
### Creation process details
1. The CLI `apply` command first creates the confidential VM (CVM) resources in your cloud environment and configures the network
2. Each CVM boots the Constellation node image and measures every component in the boot chain
3. The first microservice launched in each node is the [*Bootstrapper*](microservices.md#bootstrapper)
4. The *Bootstrapper* waits until it either receives an initialization request or discovers an initialized cluster
5. The CLI then connects to the *Bootstrapper* of a selected node, sends the configuration, and initiates the initialization of the cluster
6. The *Bootstrapper* of **that** node [initializes the Kubernetes cluster](microservices.md#bootstrapper) and deploys the other Constellation [microservices](microservices.md) including the [*JoinService*](microservices.md#joinservice)
7. Subsequently, the *Bootstrappers* of the other nodes discover the initialized cluster and send join requests to the *JoinService*
8. As part of the join request each node includes an attestation statement of its boot measurements as authentication
9. The *JoinService* verifies the attestation statements and joins the nodes to the Kubernetes cluster
10. This process is repeated for every node joining the cluster later (e.g., through autoscaling)
## Post-installation configuration
Post-installation the CLI provides a configuration for [accessing the cluster using the Kubernetes API](https://kubernetes.io/docs/tasks/administer-cluster/access-cluster-api/).
The `kubeconfig` file provides the credentials and configuration for connecting and authenticating to the API server.
Once configured, orchestrate the Kubernetes cluster via `kubectl`.
After the initialization, the CLI will present you with a couple of tokens:
* The [*master secret*](keys.md#master-secret) (stored in the `constellation-mastersecret.json` file by default)
* The [*clusterID*](keys.md#cluster-identity) of your cluster in Base64 encoding
You can read more about these values and their meaning in the guide on [cluster identity](keys.md#cluster-identity).
The *master secret* must be kept secret and can be used to [recover your cluster](../workflows/recovery.md).
Instead of managing this secret manually, you can [use your key management solution of choice](keys.md#user-managed-key-management) with Constellation.
The *clusterID* uniquely identifies a cluster and can be used to [verify your cluster](../workflows/verify-cluster.md).
## Upgrades
Constellation images and microservices may need to be upgraded to new versions during the lifetime of a cluster.
Constellation implements a rolling update mechanism ensuring no downtime of the control or data plane.
You can upgrade a Constellation cluster with a single operation by using the CLI.
For step-by-step instructions on how to do this, refer to [Upgrade your cluster](../workflows/upgrade.md).
### Attestation of upgrades
With every new image, corresponding measurements are released.
During an update procedure, the CLI provides new measurements to the [JoinService](microservices.md#joinservice) securely.
New measurements for an updated image are automatically pulled and verified by the CLI following the [supply chain security concept](attestation.md#chain-of-trust) of Constellation.
The [attestation section](attestation.md#cluster-facing-attestation) describes in detail how these measurements are then used by the JoinService for the attestation of nodes.
<!-- soon: As the [builds of the Constellation images are reproducible](attestation.md#chain-of-trust), the updated measurements are auditable by the customer. -->

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# Overview
Constellation is a cloud-based confidential orchestration platform.
The foundation of Constellation is Kubernetes and therefore shares the same technology stack and architecture principles.
To learn more about Constellation and Kubernetes, see [product overview](../overview/product.md).
## About orchestration and updates
As a cluster administrator, you can use the [Constellation CLI](orchestration.md) to install and deploy a cluster.
Updates are provided in accordance with the [support policy](versions.md).
## About microservices and attestation
Constellation manages the nodes and network in your cluster. All nodes are bootstrapped by the [*Bootstrapper*](microservices.md#bootstrapper). They're verified and authenticated by the [*JoinService*](microservices.md#joinservice) before being added to the cluster and the network. Finally, the entire cluster can be verified via the [*VerificationService*](microservices.md#verificationservice) using [remote attestation](attestation.md).
## About node images and verified boot
Constellation comes with operating system images for Kubernetes control-plane and worker nodes.
They're highly optimized for running containerized workloads and specifically prepared for running inside confidential VMs.
You can learn more about [the images](images.md) and how verified boot ensures their integrity during boot and beyond.
## About key management and cryptographic primitives
Encryption of data at-rest, in-transit, and in-use is the fundamental building block for confidential computing and Constellation. Learn more about the [keys and cryptographic primitives](keys.md) used in Constellation, [encrypted persistent storage](encrypted-storage.md), and [network encryption](networking.md).
## About observability
Observability in Kubernetes refers to the capability to troubleshoot issues using telemetry signals such as logs, metrics, and traces.
In the realm of Confidential Computing, it's crucial that observability aligns with confidentiality, necessitating careful implementation.
Learn more about the [observability capabilities in Constellation](./observability.md).

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# Versions and support policy
All components of Constellation use a three-digit version number of the form `v<MAJOR>.<MINOR>.<PATCH>`.
The components are released in lock step, usually on the first Tuesday of every month. This release primarily introduces new features, but may also include security or performance improvements. The `MINOR` version will be incremented as part of this release.
Additional `PATCH` releases may be created on demand, to fix security issues or bugs before the next `MINOR` release window.
New releases are published on [GitHub](https://github.com/edgelesssys/constellation/releases).
## Kubernetes support policy
Constellation is aligned to the [version support policy of Kubernetes](https://kubernetes.io/releases/version-skew-policy/#supported-versions), and therefore usually supports the most recent three minor versions.
When a new minor version of Kubernetes is released, support is added to the next Constellation release, and that version then supports four Kubernetes versions.
Subsequent Constellation releases drop support for the oldest (and deprecated) Kubernetes version.
The following Kubernetes versions are currently supported:
<!--AUTO_GENERATED_BY_BAZEL-->
<!--DO_NOT_EDIT-->
* v1.27.9
* v1.28.5
* v1.29.0

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# Examples
After you [installed the CLI](install.md) and [created your first cluster](first-steps.md), you're ready to deploy applications. Why not start with one of the following examples?
* [Emojivoto](examples/emojivoto.md): a simple but fun web application
* [Online Boutique](examples/online-boutique.md): an e-commerce demo application by Google consisting of 11 separate microservices
* [Horizontal Pod Autoscaling](examples/horizontal-scaling.md): an example demonstrating Constellation's autoscaling capabilities

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# Emojivoto
[Emojivoto](https://github.com/BuoyantIO/emojivoto) is a simple and fun application that's well suited to test the basic functionality of your cluster.
<!-- vale off -->
<img src={require("../../_media/example-emojivoto.jpg").default} alt="emojivoto - Web UI" width="552"/>
<!-- vale on -->
1. Deploy the application:
```bash
kubectl apply -k github.com/BuoyantIO/emojivoto/kustomize/deployment
```
2. Wait until it becomes available:
```bash
kubectl wait --for=condition=available --timeout=60s -n emojivoto --all deployments
```
3. Forward the web service to your machine:
```bash
kubectl -n emojivoto port-forward svc/web-svc 8080:80
```
4. Visit [http://localhost:8080](http://localhost:8080)

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# Deploying Filestash
Filestash is a web frontend for different storage backends, including S3.
It's a useful application to showcase s3proxy in action.
1. Deploy s3proxy as described in [Deployment](../../workflows/s3proxy.md#deployment).
2. Create a deployment file for Filestash with one pod:
```sh
cat << EOF > "deployment-filestash.yaml"
apiVersion: apps/v1
kind: Deployment
metadata:
name: filestash
spec:
replicas: 1
selector:
matchLabels:
app: filestash
template:
metadata:
labels:
app: filestash
spec:
hostAliases:
- ip: $(kubectl get svc s3proxy-service -o=jsonpath='{.spec.clusterIP}')
hostnames:
- "s3.us-east-1.amazonaws.com"
- "s3.us-east-2.amazonaws.com"
- "s3.us-west-1.amazonaws.com"
- "s3.us-west-2.amazonaws.com"
- "s3.eu-north-1.amazonaws.com"
- "s3.eu-south-1.amazonaws.com"
- "s3.eu-south-2.amazonaws.com"
- "s3.eu-west-1.amazonaws.com"
- "s3.eu-west-2.amazonaws.com"
- "s3.eu-west-3.amazonaws.com"
- "s3.eu-central-1.amazonaws.com"
- "s3.eu-central-2.amazonaws.com"
- "s3.ap-northeast-1.amazonaws.com"
- "s3.ap-northeast-2.amazonaws.com"
- "s3.ap-northeast-3.amazonaws.com"
- "s3.ap-east-1.amazonaws.com"
- "s3.ap-southeast-1.amazonaws.com"
- "s3.ap-southeast-2.amazonaws.com"
- "s3.ap-southeast-3.amazonaws.com"
- "s3.ap-southeast-4.amazonaws.com"
- "s3.ap-south-1.amazonaws.com"
- "s3.ap-south-2.amazonaws.com"
- "s3.me-south-1.amazonaws.com"
- "s3.me-central-1.amazonaws.com"
- "s3.il-central-1.amazonaws.com"
- "s3.af-south-1.amazonaws.com"
- "s3.ca-central-1.amazonaws.com"
- "s3.sa-east-1.amazonaws.com"
containers:
- name: filestash
image: machines/filestash:latest
ports:
- containerPort: 8334
volumeMounts:
- name: ca-cert
mountPath: /etc/ssl/certs/kube-ca.crt
subPath: kube-ca.crt
volumes:
- name: ca-cert
secret:
secretName: s3proxy-tls
items:
- key: ca.crt
path: kube-ca.crt
EOF
```
The pod spec includes the `hostAliases` key, which adds an entry to the pod's `/etc/hosts`.
The entry forwards all requests for any of the currently defined AWS regions to the Kubernetes service `s3proxy-service`.
If you followed the s3proxy [Deployment](../../workflows/s3proxy.md#deployment) guide, this service points to a s3proxy pod.
The deployment specifies all regions explicitly to prevent accidental data leaks.
If one of your buckets were located in a region that's not part of the `hostAliases` key, traffic towards those buckets would not be redirected to s3proxy.
Similarly, if you want to exclude data for specific regions from going through s3proxy you can remove those regions from the deployment.
The spec also includes a volume mount for the TLS certificate and adds it to the pod's certificate trust store.
The volume is called `ca-cert`.
The key `ca.crt` of that volume is mounted to `/etc/ssl/certs/kube-ca.crt`, which is the default certificate trust store location for that container's OpenSSL library.
Not adding the CA certificate will result in TLS authentication errors.
3. Apply the file: `kubectl apply -f deployment-filestash.yaml`
Afterward, you can use a port forward to access the Filestash pod:
`kubectl port-forward pod/$(kubectl get pod --selector='app=filestash' -o=jsonpath='{.items[*].metadata.name}') 8334:8334`
4. After browsing to `localhost:8443`, Filestash will ask you to set an administrator password.
After setting it, you can directly leave the admin area by clicking the blue cloud symbol in the top left corner.
Subsequently, you can select S3 as storage backend and enter your credentials.
This will bring you to an overview of your buckets.
If you want to deploy Filestash in production, take a look at its [documentation](https://www.filestash.app/docs/).
5. To see the logs of s3proxy intercepting requests made to S3, run: `kubectl logs -f pod/$(kubectl get pod --selector='app=s3proxy' -o=jsonpath='{.items[*].metadata.name}')`
Look out for log messages labeled `intercepting`.
There is one such log message for each message that's encrypted, decrypted, or blocked.
6. Once you have uploaded a file with Filestash, you should be able to view the file in Filestash.
However, if you go to the AWS S3 [Web UI](https://s3.console.aws.amazon.com/s3/home) and download the file you just uploaded in Filestash, you won't be able to read it.
Another way to spot encrypted files without downloading them is to click on a file, scroll to the Metadata section, and look for the header named `x-amz-meta-constellation-encryption`.
This header holds the encrypted data encryption key of the object and is only present on objects that are encrypted by s3proxy.

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# Horizontal Pod Autoscaling
This example demonstrates Constellation's autoscaling capabilities. It's based on the Kubernetes [HorizontalPodAutoscaler Walkthrough](https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale-walkthrough/). During the following steps, Constellation will spawn new VMs on demand, verify them, add them to the cluster, and delete them again when the load has settled down.
## Requirements
The cluster needs to be initialized with Kubernetes 1.23 or later. In addition, [autoscaling must be enabled](../../workflows/scale.md) to enable Constellation to assign new nodes dynamically.
Just for this example specifically, the cluster should have as few worker nodes in the beginning as possible. Start with a small cluster with only *one* low-powered node for the control-plane node and *one* low-powered worker node.
:::info
We tested the example using instances of types `Standard_DC4as_v5` on Azure and `n2d-standard-4` on GCP.
:::
## Setup
1. Install the Kubernetes Metrics Server:
```bash
kubectl apply -f https://github.com/kubernetes-sigs/metrics-server/releases/latest/download/components.yaml
```
2. Deploy the HPA example server that's supposed to be scaled under load.
This manifest is similar to the one from the Kubernetes HPA walkthrough, but with increased CPU limits and requests to facilitate the triggering of node scaling events.
```bash
cat <<EOF | kubectl apply -f -
apiVersion: apps/v1
kind: Deployment
metadata:
name: php-apache
spec:
selector:
matchLabels:
run: php-apache
replicas: 1
template:
metadata:
labels:
run: php-apache
spec:
containers:
- name: php-apache
image: registry.k8s.io/hpa-example
ports:
- containerPort: 80
resources:
limits:
cpu: 900m
requests:
cpu: 600m
---
apiVersion: v1
kind: Service
metadata:
name: php-apache
labels:
run: php-apache
spec:
ports:
- port: 80
selector:
run: php-apache
EOF
```
3. Create a HorizontalPodAutoscaler.
Set an average CPU usage across all Pods of 20% to see one additional worker node being created later. Note that the CPU usage isn't related to the host CPU usage, but rather to the requested CPU capacities (20% of 600 milli-cores CPU across all Pods). See the [original tutorial](https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale-walkthrough/#create-horizontal-pod-autoscaler) for more information on the HPA configuration.
```bash
kubectl autoscale deployment php-apache --cpu-percent=20 --min=1 --max=10
```
4. Create a Pod that generates load on the server:
```bash
kubectl run -i --tty load-generator --rm --image=busybox:1.28 --restart=Never -- /bin/sh -c "while true; do wget -q -O- http://php-apache; done"
```
5. Wait a few minutes until new nodes are added to the cluster. You can [monitor](#monitoring) the state of the HorizontalPodAutoscaler, the list of nodes, and the behavior of the autoscaler.
6. To stop the load generator, press CTRL+C and run:
```bash
kubectl delete pod load-generator
```
7. The cluster-autoscaler checks every few minutes if nodes are underutilized. It will taint such candidates for removal and wait additional 10 minutes before the nodes are eventually removed and deallocated. The whole process can take about 20 minutes.
## Monitoring
:::tip
For better observability, run the listed commands in different tabs in your terminal.
:::
You can watch the status of the HorizontalPodAutoscaler with the current CPU usage, the target CPU limit, and the number of replicas created with:
```bash
kubectl get hpa php-apache --watch
```
From time to time compare the list of nodes to check the behavior of the autoscaler:
```bash
kubectl get nodes
```
For deeper insights, see the logs of the autoscaler Pod, which contains more details about the scaling decision process:
```bash
kubectl logs -f deployment/constellation-cluster-autoscaler -n kube-system
```

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@ -0,0 +1,29 @@
# Online Boutique
[Online Boutique](https://github.com/GoogleCloudPlatform/microservices-demo) is an e-commerce demo application by Google consisting of 11 separate microservices. In this demo, Constellation automatically sets up a load balancer on your CSP, making it easy to expose services from your confidential cluster.
<!-- vale off -->
<img src={require("../../_media/example-online-boutique.jpg").default} alt="Online Boutique - Web UI" width="662"/>
<!-- vale on -->
1. Create a namespace:
```bash
kubectl create ns boutique
```
2. Deploy the application:
```bash
kubectl apply -n boutique -f https://github.com/GoogleCloudPlatform/microservices-demo/raw/main/release/kubernetes-manifests.yaml
```
3. Wait for all services to become available:
```bash
kubectl wait --for=condition=available --timeout=300s -n boutique --all deployments
```
4. Get the frontend's external IP address:
```shell-session
$ kubectl get service frontend-external -n boutique | awk '{print $4}'
EXTERNAL-IP
<your-ip>
```
(`<your-ip>` is a placeholder for the IP assigned by your CSP.)
5. Enter the IP from the result in your browser to browse the online shop.

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# First steps with a local cluster
A local cluster lets you deploy and test Constellation without a cloud subscription.
You have two options:
* Use MiniConstellation to automatically deploy a two-node cluster.
* For more fine-grained control, create the cluster using the QEMU provider.
Both options use virtualization to create a local cluster with control-plane nodes and worker nodes. They **don't** require hardware with Confidential VM (CVM) support. For attestation, they currently use a software-based vTPM provided by KVM/QEMU.
You need an x64 machine with a Linux OS.
You can use a VM, but it needs nested virtualization.
## Prerequisites
* Machine requirements:
* An x86-64 CPU with at least 4 cores (6 cores are recommended)
* At least 4 GB RAM (6 GB are recommended)
* 20 GB of free disk space
* Hardware virtualization enabled in the BIOS/UEFI (often referred to as Intel VT-x or AMD-V/SVM) / nested-virtualization support when using a VM
* Software requirements:
* Linux OS with [KVM kernel module](https://www.linux-kvm.org/page/Main_Page)
* Recommended: Ubuntu 22.04 LTS
* [Docker](https://docs.docker.com/engine/install/)
* [xsltproc](https://gitlab.gnome.org/GNOME/libxslt/-/wikis/home)
* (Optional) [virsh](https://www.libvirt.org/manpages/virsh.html) to observe and access your nodes
### Software installation on Ubuntu
```bash
# install Docker
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg
echo "deb [arch=amd64 signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable" | sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
sudo apt update
sudo apt install docker-ce
# install other dependencies
sudo apt install xsltproc
sudo snap install kubectl --classic
# install Constellation CLI
curl -LO https://github.com/edgelesssys/constellation/releases/latest/download/constellation-linux-amd64
sudo install constellation-linux-amd64 /usr/local/bin/constellation
# do not drop forwarded packages
sudo iptables -P FORWARD ACCEPT
```
## Create a cluster
<tabs groupId="csp">
<tabItem value="mini" label="MiniConstellation">
<!-- vale off -->
With the `constellation mini` command, you can deploy and test Constellation locally. This mode is called MiniConstellation. Conceptually, MiniConstellation is similar to [MicroK8s](https://microk8s.io/), [K3s](https://k3s.io/), and [minikube](https://minikube.sigs.k8s.io/docs/).
<!-- vale on -->
:::caution
MiniConstellation has specific soft- and hardware requirements such as a Linux OS running on an x86-64 CPU. Pay attention to all [prerequisites](#prerequisites) when setting up.
:::
:::note
Since MiniConstellation runs on your local system, cloud features such as load balancing,
attaching persistent storage, or autoscaling aren't available.
:::
The following creates your MiniConstellation cluster (may take up to 10 minutes to complete):
```bash
constellation mini up
```
This will configure your current directory as the [workspace](../architecture/orchestration.md#workspaces) for this cluster.
All `constellation` commands concerning this cluster need to be issued from this directory.
</tabItem>
<tabItem value="qemu" label="QEMU">
With the QEMU provider, you can create a local Constellation cluster as if it were in the cloud. The provider uses [QEMU](https://www.qemu.org/) to create multiple VMs for the cluster nodes, which interact with each other.
:::caution
Constellation on QEMU has specific soft- and hardware requirements such as a Linux OS running on an x86-64 CPU. Pay attention to all [prerequisites](#prerequisites) when setting up.
:::
:::note
Since Constellation on QEMU runs on your local system, cloud features such as load balancing,
attaching persistent storage, or autoscaling aren't available.
:::
1. To set up your local cluster, you need to create a configuration file for Constellation first.
```bash
constellation config generate qemu
```
This creates a [configuration file](../workflows/config.md) for QEMU called `constellation-conf.yaml`. After that, your current folder also becomes your [workspace](../architecture/orchestration.md#workspaces). All `constellation` commands for your cluster need to be executed from this directory.
2. Now you can create your cluster and its nodes. `constellation apply` uses the options set in `constellation-conf.yaml`.
```bash
constellation apply -y
```
The Output should look like the following:
```shell-session
$ constellation apply -y
Checking for infrastructure changes
The following Constellation cluster will be created:
3 control-plane nodes of type 2-vCPUs will be created.
1 worker node of type 2-vCPUs will be created.
Creating
Cloud infrastructure created successfully.
Your Constellation master secret was successfully written to ./constellation-mastersecret.json
Connecting
Initializing cluster
Installing Kubernetes components
Your Constellation cluster was successfully initialized.
Constellation cluster identifier g6iMP5wRU1b7mpOz2WEISlIYSfdAhB0oNaOg6XEwKFY=
Kubernetes configuration constellation-admin.conf
You can now connect to your cluster by executing:
export KUBECONFIG="$PWD/constellation-admin.conf"
```
The cluster's identifier will be different in your output.
Keep `constellation-mastersecret.json` somewhere safe.
This will allow you to [recover your cluster](../workflows/recovery.md) in case of a disaster.
:::info
Depending on your setup, `constellation apply` may take 10+ minutes to complete.
:::
3. Configure kubectl
```bash
export KUBECONFIG="$PWD/constellation-admin.conf"
```
</tabItem>
</tabs>
## Connect to the cluster
Your cluster initially consists of a single control-plane node:
```shell-session
$ kubectl get nodes
NAME STATUS ROLES AGE VERSION
control-plane-0 Ready control-plane 66s v1.24.6
```
Additional nodes will request to join the cluster shortly. Before each additional node is allowed to join the cluster, its state is verified using remote attestation by the [JoinService](../architecture/microservices.md#joinservice).
If verification passes successfully, the new node receives keys and certificates to join the cluster.
You can follow this process by viewing the logs of the JoinService:
```shell-session
$ kubectl logs -n kube-system daemonsets/join-service -f
{"level":"INFO","ts":"2022-10-14T09:32:20Z","caller":"cmd/main.go:48","msg":"Constellation Node Join Service","version":"2.1.0","cloudProvider":"qemu"}
{"level":"INFO","ts":"2022-10-14T09:32:20Z","logger":"validator","caller":"watcher/validator.go:96","msg":"Updating expected measurements"}
...
```
Once all nodes have joined your cluster, it may take a couple of minutes for all resources to become available.
You can check on the state of your cluster by running the following:
```shell-session
$ kubectl get nodes
NAME STATUS ROLES AGE VERSION
control-plane-0 Ready control-plane 2m59s v1.24.6
worker-0 Ready <none> 32s v1.24.6
```
## Deploy a sample application
1. Deploy the [emojivoto app](https://github.com/BuoyantIO/emojivoto)
```bash
kubectl apply -k github.com/BuoyantIO/emojivoto/kustomize/deployment
```
2. Expose the frontend service locally
```bash
kubectl wait --for=condition=available --timeout=60s -n emojivoto --all deployments
kubectl -n emojivoto port-forward svc/web-svc 8080:80 &
curl http://localhost:8080
kill %1
```
## Terminate your cluster
<tabs groupId="csp">
<tabItem value="mini" label="MiniConstellation">
Once you are done, you can clean up the created resources using the following command:
```bash
constellation mini down
```
This will destroy your cluster and clean up your workspace.
The VM image and cluster configuration file (`constellation-conf.yaml`) will be kept and may be reused to create new clusters.
</tabItem>
<tabItem value="qemu" label="QEMU">
Once you are done, you can clean up the created resources using the following command:
```bash
constellation terminate
```
This should give the following output:
```shell-session
$ constellation terminate
You are about to terminate a Constellation cluster.
All of its associated resources will be DESTROYED.
This action is irreversible and ALL DATA WILL BE LOST.
Do you want to continue? [y/n]:
```
Confirm with `y` to terminate the cluster:
```shell-session
Terminating ...
Your Constellation cluster was terminated successfully.
```
This will destroy your cluster and clean up your workspace.
The VM image and cluster configuration file (`constellation-conf.yaml`) will be kept and may be reused to create new clusters.
</tabItem>
</tabs>
## Troubleshooting
Make sure to use the [latest release](https://github.com/edgelesssys/constellation/releases/latest) and check out the [known issues](https://github.com/edgelesssys/constellation/issues?q=is%3Aopen+is%3Aissue+label%3A%22known+issue%22).
### VMs have no internet access / CLI remains in "Initializing cluster" state
`iptables` rules may prevent your VMs from accessing the internet.
Make sure your rules aren't dropping forwarded packages.
List your rules:
```bash
sudo iptables -S
```
The output may look similar to the following:
```shell-session
-P INPUT ACCEPT
-P FORWARD DROP
-P OUTPUT ACCEPT
-N DOCKER
-N DOCKER-ISOLATION-STAGE-1
-N DOCKER-ISOLATION-STAGE-2
-N DOCKER-USER
```
If your `FORWARD` chain is set to `DROP`, you need to update your rules:
```bash
sudo iptables -P FORWARD ACCEPT
```

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@ -0,0 +1,221 @@
# First steps with Constellation
The following steps guide you through the process of creating a cluster and deploying a sample app. This example assumes that you have successfully [installed and set up Constellation](install.md),
and have access to a cloud subscription.
:::tip
If you don't have a cloud subscription, you can also set up a [local Constellation cluster using virtualization](../getting-started/first-steps-local.md) for testing.
:::
:::note
If you encounter any problem with the following steps, make sure to use the [latest release](https://github.com/edgelesssys/constellation/releases/latest) and check out the [known issues](https://github.com/edgelesssys/constellation/issues?q=is%3Aopen+is%3Aissue+label%3A%22known+issue%22).
:::
## Create a cluster
1. Create the [configuration file](../workflows/config.md) and state file for your cloud provider.
<tabs groupId="csp">
<tabItem value="azure" label="Azure">
```bash
constellation config generate azure
```
</tabItem>
<tabItem value="gcp" label="GCP">
```bash
constellation config generate gcp
```
</tabItem>
<tabItem value="aws" label="AWS">
```bash
constellation config generate aws
```
</tabItem>
</tabs>
2. Create your [IAM configuration](../workflows/config.md#creating-an-iam-configuration).
<tabs groupId="csp">
<tabItem value="azure" label="Azure">
```bash
constellation iam create azure --region=westus --resourceGroup=constellTest --servicePrincipal=spTest --update-config
```
This command creates IAM configuration on the Azure region `westus` creating a new resource group `constellTest` and a new service principal `spTest`. It also updates the configuration file `constellation-conf.yaml` in your current directory with the IAM values filled in.
CVMs are available in several Azure regions. Constellation OS images are currently replicated to the following:
* `germanywestcentral`
* `westus`
* `eastus`
* `northeurope`
* `westeurope`
* `southeastasia`
If you require the OS image to be available in another region, [let us know](https://github.com/edgelesssys/constellation/issues/new?assignees=&labels=&template=feature_request.md&title=Support+new+Azure+image+region:+xx-xxxx-x).
You can find a list of all [regions in Azure's documentation](https://azure.microsoft.com/en-us/global-infrastructure/services/?products=virtual-machines&regions=all).
</tabItem>
<tabItem value="gcp" label="GCP">
```bash
constellation iam create gcp --projectID=yourproject-12345 --zone=europe-west2-a --serviceAccountID=constell-test --update-config
```
This command creates IAM configuration in the GCP project `yourproject-12345` on the GCP zone `europe-west2-a` creating a new service account `constell-test`. It also updates the configuration file `constellation-conf.yaml` in your current directory with the IAM values filled in.
Note that only regions offering CVMs of the `C2D` or `N2D` series are supported. You can find a [list of all regions in Google's documentation](https://cloud.google.com/compute/docs/regions-zones#available), which you can filter by machine type `C2D` or `N2D`.
</tabItem>
<tabItem value="aws" label="AWS">
```bash
constellation iam create aws --zone=us-east-2a --prefix=constellTest --update-config
```
This command creates IAM configuration for the AWS zone `us-east-2a` using the prefix `constellTest` for all named resources being created. It also updates the configuration file `constellation-conf.yaml` in your current directory with the IAM values filled in.
Depending on the attestation variant selected on config generation, different regions are available.
AMD SEV-SNP machines (requires the default attestation variant `awsSEVSNP`) are currently available in the following regions:
* `eu-west-1`
* `us-east-2`
You can find a list of regions that support AMD SEV-SNP in [AWS's documentation](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/snp-requirements.html).
NitroTPM machines (requires the attestation variant `awsNitroTPM`) are available in all regions.
Constellation OS images are currently replicated to the following regions:
* `eu-central-1`
* `eu-west-1`
* `eu-west-3`
* `us-east-2`
* `ap-south-1`
If you require the OS image to be available in another region, [let us know](https://github.com/edgelesssys/constellation/issues/new?assignees=&labels=&template=feature_request.md&title=Support+new+AWS+image+region:+xx-xxxx-x).
You can find a list of all [regions in AWS's documentation](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/using-regions-availability-zones.html#concepts-available-regions).
</tabItem>
</tabs>
:::tip
To learn about all options you have for managing IAM resources and Constellation configuration, see the [Configuration workflow](../workflows/config.md).
:::
<!--
:::info
In case you don't have access to CVMs on Azure, you may use less secure [trusted launch VMs](../workflows/trusted-launch.md) instead. For this, set **confidentialVM** to `false` in the configuration file.
:::
-->
3. Create the cluster. `constellation apply` uses options set in `constellation-conf.yaml`.
If you want to manually manage your cloud resources, for example by using [Terraform](../reference/terraform.md), follow the corresponding instructions in the [Create workflow](../workflows/create.md).
:::tip
On Azure, you may need to wait 15+ minutes at this point for role assignments to propagate.
:::
```bash
constellation apply -y
```
This should look similar to the following:
```shell-session
$ constellation apply -y
Checking for infrastructure changes
The following Constellation cluster will be created:
3 control-plane nodes of type n2d-standard-4 will be created.
1 worker node of type n2d-standard-4 will be created.
Creating
Cloud infrastructure created successfully
Your Constellation master secret was successfully written to ./constellation-mastersecret.json
Connecting
Initializing cluster
Installing Kubernetes components
Your Constellation cluster was successfully initialized.
Constellation cluster identifier g6iMP5wRU1b7mpOz2WEISlIYSfdAhB0oNaOg6XEwKFY=
Kubernetes configuration constellation-admin.conf
You can now connect to your cluster by executing:
export KUBECONFIG="$PWD/constellation-admin.conf"
```
The cluster's identifier will be different in your output.
Keep `constellation-mastersecret.json` somewhere safe.
This will allow you to [recover your cluster](../workflows/recovery.md) in case of a disaster.
:::info
Depending on your CSP and region, `constellation apply` may take 10+ minutes to complete.
:::
4. Configure kubectl.
```bash
export KUBECONFIG="$PWD/constellation-admin.conf"
```
## Deploy a sample application
1. Deploy the [emojivoto app](https://github.com/BuoyantIO/emojivoto)
```bash
kubectl apply -k github.com/BuoyantIO/emojivoto/kustomize/deployment
```
2. Expose the frontend service locally
```bash
kubectl wait --for=condition=available --timeout=60s -n emojivoto --all deployments
kubectl -n emojivoto port-forward svc/web-svc 8080:80 &
curl http://localhost:8080
kill %1
```
## Terminate your cluster
Use the CLI to terminate your cluster. If you manually used [Terraform](../reference/terraform.md) to manage your cloud resources, follow the corresponding instructions in the [Terminate workflow](../workflows/terminate.md).
```bash
constellation terminate
```
This should give the following output:
```shell-session
$ constellation terminate
You are about to terminate a Constellation cluster.
All of its associated resources will be DESTROYED.
This action is irreversible and ALL DATA WILL BE LOST.
Do you want to continue? [y/n]:
```
Confirm with `y` to terminate the cluster:
```shell-session
Terminating ...
Your Constellation cluster was terminated successfully.
```
Optionally, you can also [delete your IAM resources](../workflows/config.md#deleting-an-iam-configuration).

View File

@ -0,0 +1,369 @@
# Installation and setup
Constellation runs entirely in your cloud environment and can be controlled via a dedicated [command-line interface (CLI)](../reference/cli.md) or a [Terraform provider](../workflows/terraform-provider.md).
## Prerequisites
Make sure the following requirements are met:
* Your machine is running Linux or macOS
* You have admin rights on your machine
* [kubectl](https://kubernetes.io/docs/tasks/tools/) is installed
* Your CSP is Microsoft Azure, Google Cloud Platform (GCP), or Amazon Web Services (AWS)
## Install the Constellation CLI
:::tip
If you prefer to use Terraform, you can alternatively use the [Terraform provider](../workflows/terraform-provider.md) to manage the cluster's lifecycle.
:::
The CLI executable is available at [GitHub](https://github.com/edgelesssys/constellation/releases).
Install it with the following commands:
<tabs>
<tabItem value="linux-amd64" label="Linux (amd64)">
1. Download the CLI:
```bash
curl -LO https://github.com/edgelesssys/constellation/releases/latest/download/constellation-linux-amd64
```
2. [Verify the signature](../workflows/verify-cli.md) (optional)
3. Install the CLI to your PATH:
```bash
sudo install constellation-linux-amd64 /usr/local/bin/constellation
```
</tabItem>
<tabItem value="linux-arm64" label="Linux (arm64)">
1. Download the CLI:
```bash
curl -LO https://github.com/edgelesssys/constellation/releases/latest/download/constellation-linux-arm64
```
2. [Verify the signature](../workflows/verify-cli.md) (optional)
3. Install the CLI to your PATH:
```bash
sudo install constellation-linux-arm64 /usr/local/bin/constellation
```
</tabItem>
<tabItem value="darwin-arm64" label="macOS (Apple Silicon)">
1. Download the CLI:
```bash
curl -LO https://github.com/edgelesssys/constellation/releases/latest/download/constellation-darwin-arm64
```
2. [Verify the signature](../workflows/verify-cli.md) (optional)
3. Install the CLI to your PATH:
```bash
sudo install constellation-darwin-arm64 /usr/local/bin/constellation
```
</tabItem>
<tabItem value="darwin-amd64" label="macOS (Intel)">
1. Download the CLI:
```bash
curl -LO https://github.com/edgelesssys/constellation/releases/latest/download/constellation-darwin-amd64
```
2. [Verify the signature](../workflows/verify-cli.md) (optional)
3. Install the CLI to your PATH:
```bash
sudo install constellation-darwin-amd64 /usr/local/bin/constellation
```
</tabItem>
</tabs>
:::tip
The CLI supports autocompletion for various shells. To set it up, run `constellation completion` and follow the given steps.
:::
## Set up cloud credentials
Constellation makes authenticated calls to the CSP API. Therefore, you need to set up Constellation with the credentials for your CSP.
:::tip
If you don't have a cloud subscription, you can also set up a [local Constellation cluster using virtualization](../getting-started/first-steps-local.md) for testing.
:::
### Required permissions
<tabs groupId="csp">
<tabItem value="azure" label="Azure">
The following [resource providers need to be registered](https://learn.microsoft.com/en-us/azure/azure-resource-manager/management/resource-providers-and-types#register-resource-provider) in your subscription:
* `Microsoft.Attestation` \[2]
* `Microsoft.Compute`
* `Microsoft.Insights`
* `Microsoft.ManagedIdentity`
* `Microsoft.Network`
By default, Constellation tries to register these automatically if they haven't been registered before.
To [create the IAM configuration](../workflows/config.md#creating-an-iam-configuration) for Constellation, you need the following permissions:
* `*/register/action` \[1]
* `Microsoft.Authorization/roleAssignments/*`
* `Microsoft.Authorization/roleDefinitions/*`
* `Microsoft.ManagedIdentity/userAssignedIdentities/*`
* `Microsoft.Resources/subscriptions/resourcegroups/*`
The built-in `Owner` role is a superset of these permissions.
To [create a Constellation cluster](../workflows/create.md), you need the following permissions:
* `Microsoft.Attestation/attestationProviders/*` \[2]
* `Microsoft.Compute/virtualMachineScaleSets/*`
* `Microsoft.Insights/components/*`
* `Microsoft.ManagedIdentity/userAssignedIdentities/*`
* `Microsoft.Network/loadBalancers/*`
* `Microsoft.Network/loadBalancers/backendAddressPools/*`
* `Microsoft.Network/networkSecurityGroups/*`
* `Microsoft.Network/publicIPAddresses/*`
* `Microsoft.Network/virtualNetworks/*`
* `Microsoft.Network/virtualNetworks/subnets/*`
* `Microsoft.Network/natGateways/*`
The built-in `Contributor` role is a superset of these permissions.
Follow Microsoft's guide on [understanding](https://learn.microsoft.com/en-us/azure/role-based-access-control/role-definitions) and [assigning roles](https://learn.microsoft.com/en-us/azure/role-based-access-control/role-assignments).
1: You can omit `*/register/Action` if the resource providers mentioned above are already registered and the `ARM_SKIP_PROVIDER_REGISTRATION` environment variable is set to `true` when creating the IAM configuration.
2: You can omit `Microsoft.Attestation/attestationProviders/*` and the registration of `Microsoft.Attestation` if `EnforceIDKeyDigest` isn't set to `MAAFallback` in the [config file](../workflows/config.md#configure-your-cluster).
</tabItem>
<tabItem value="gcp" label="GCP">
Create a new project for Constellation or use an existing one.
Enable the [Compute Engine API](https://console.cloud.google.com/apis/library/compute.googleapis.com) on it.
To [create the IAM configuration](../workflows/config.md#creating-an-iam-configuration) for Constellation, you need the following permissions:
* `iam.serviceAccountKeys.create`
* `iam.serviceAccountKeys.delete`
* `iam.serviceAccountKeys.get`
* `iam.serviceAccounts.create`
* `iam.serviceAccounts.delete`
* `iam.serviceAccounts.get`
* `resourcemanager.projects.getIamPolicy`
* `resourcemanager.projects.setIamPolicy`
Together, the built-in roles `roles/editor` and `roles/resourcemanager.projectIamAdmin` form a superset of these permissions.
To [create a Constellation cluster](../workflows/create.md), you need the following permissions:
* `compute.addresses.createInternal`
* `compute.addresses.deleteInternal`
* `compute.addresses.get`
* `compute.addresses.useInternal`
* `compute.backendServices.create`
* `compute.backendServices.delete`
* `compute.backendServices.get`
* `compute.backendServices.use`
* `compute.disks.create`
* `compute.firewalls.create`
* `compute.firewalls.delete`
* `compute.firewalls.get`
* `compute.firewalls.update`
* `compute.globalAddresses.create`
* `compute.globalAddresses.delete`
* `compute.globalAddresses.get`
* `compute.globalAddresses.use`
* `compute.globalForwardingRules.create`
* `compute.globalForwardingRules.delete`
* `compute.globalForwardingRules.get`
* `compute.globalForwardingRules.setLabels`
* `compute.globalOperations.get`
* `compute.healthChecks.create`
* `compute.healthChecks.delete`
* `compute.healthChecks.get`
* `compute.healthChecks.useReadOnly`
* `compute.instanceGroupManagers.create`
* `compute.instanceGroupManagers.delete`
* `compute.instanceGroupManagers.get`
* `compute.instanceGroupManagers.update`
* `compute.instanceGroups.create`
* `compute.instanceGroups.delete`
* `compute.instanceGroups.get`
* `compute.instanceGroups.update`
* `compute.instanceGroups.use`
* `compute.instances.create`
* `compute.instances.setLabels`
* `compute.instances.setMetadata`
* `compute.instances.setTags`
* `compute.instanceTemplates.create`
* `compute.instanceTemplates.delete`
* `compute.instanceTemplates.get`
* `compute.instanceTemplates.useReadOnly`
* `compute.networks.create`
* `compute.networks.delete`
* `compute.networks.get`
* `compute.networks.updatePolicy`
* `compute.routers.create`
* `compute.routers.delete`
* `compute.routers.get`
* `compute.routers.update`
* `compute.subnetworks.create`
* `compute.subnetworks.delete`
* `compute.subnetworks.get`
* `compute.subnetworks.use`
* `compute.targetTcpProxies.create`
* `compute.targetTcpProxies.delete`
* `compute.targetTcpProxies.get`
* `compute.targetTcpProxies.use`
* `iam.serviceAccounts.actAs`
Together, the built-in roles `roles/editor`, `roles/compute.instanceAdmin` and `roles/resourcemanager.projectIamAdmin` form a superset of these permissions.
Follow Google's guide on [understanding](https://cloud.google.com/iam/docs/understanding-roles) and [assigning roles](https://cloud.google.com/iam/docs/granting-changing-revoking-access).
</tabItem>
<tabItem value="aws" label="AWS">
To set up a Constellation cluster, you need to perform two tasks that require permissions: create the infrastructure and create roles for cluster nodes. Both of these actions can be performed by different users, e.g., an administrator to create roles and a DevOps engineer to create the infrastructure.
To [create the IAM configuration](../workflows/config.md#creating-an-iam-configuration) for Constellation, you need the following permissions:
```json
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": [
"ec2:DescribeAccountAttributes",
"iam:AddRoleToInstanceProfile",
"iam:AttachRolePolicy",
"iam:CreateInstanceProfile",
"iam:CreatePolicy",
"iam:CreateRole",
"iam:DeleteInstanceProfile",
"iam:DeletePolicy",
"iam:DeletePolicyVersion",
"iam:DeleteRole",
"iam:DetachRolePolicy",
"iam:GetInstanceProfile",
"iam:GetPolicy",
"iam:GetPolicyVersion",
"iam:GetRole",
"iam:ListAttachedRolePolicies",
"iam:ListInstanceProfilesForRole",
"iam:ListPolicyVersions",
"iam:ListRolePolicies",
"iam:PassRole",
"iam:RemoveRoleFromInstanceProfile",
"sts:GetCallerIdentity"
],
"Resource": "*"
}
]
}
```
The built-in `AdministratorAccess` policy is a superset of these permissions.
To [create a Constellation cluster](../workflows/create.md), see the permissions of [main.tf](https://github.com/edgelesssys/constellation/blob/main/terraform/infrastructure/iam/aws/main.tf).
The built-in `PowerUserAccess` policy is a superset of these permissions.
Follow Amazon's guide on [understanding](https://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies.html) and [managing policies](https://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies_managed-vs-inline.html).
</tabItem>
</tabs>
### Authentication
You need to authenticate with your CSP. The following lists the required steps for *testing* and *production* environments.
:::note
The steps for a *testing* environment are simpler. However, they may expose secrets to the CSP. If in doubt, follow the *production* steps.
:::
<tabs groupId="csp">
<tabItem value="azure" label="Azure">
**Testing**
Simply open the [Azure Cloud Shell](https://docs.microsoft.com/en-us/azure/cloud-shell/overview).
**Production**
Use the latest version of the [Azure CLI](https://docs.microsoft.com/en-us/cli/azure/) on a trusted machine:
```bash
az login
```
Other options are described in Azure's [authentication guide](https://docs.microsoft.com/en-us/cli/azure/authenticate-azure-cli).
</tabItem>
<tabItem value="gcp" label="GCP">
**Testing**
You can use the [Google Cloud Shell](https://cloud.google.com/shell). Make sure your [session is authorized](https://cloud.google.com/shell/docs/auth). For example, execute `gsutil` and accept the authorization prompt.
**Production**
Use one of the following options on a trusted machine:
* Use the [`gcloud` CLI](https://cloud.google.com/sdk/gcloud)
```bash
gcloud auth application-default login
```
This will ask you to log-in to your Google account and create your credentials.
The Constellation CLI will automatically load these credentials when needed.
* Set up a service account and pass the credentials manually
Follow [Google's guide](https://cloud.google.com/docs/authentication/production#manually) for setting up your credentials.
</tabItem>
<tabItem value="aws" label="AWS">
**Testing**
You can use the [AWS CloudShell](https://console.aws.amazon.com/cloudshell/home). Make sure you are [authorized to use it](https://docs.aws.amazon.com/cloudshell/latest/userguide/sec-auth-with-identities.html).
**Production**
Use the latest version of the [AWS CLI](https://aws.amazon.com/cli/) on a trusted machine:
```bash
aws configure
```
Options and first steps are described in the [AWS CLI documentation](https://docs.aws.amazon.com/cli/index.html).
</tabItem>
</tabs>
## Next steps
You are now ready to [deploy your first confidential Kubernetes cluster and application](first-steps.md).

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# Using Constellation via Cloud Marketplaces
Constellation is available through the Marketplaces of Azure and GCP. This allows you to create self-managed Constellation clusters that are billed on a pay-per-use basis (hourly, per vCPU) with your CSP account. You can still get direct support by Edgeless Systems. For more information, please [contact us](https://www.edgeless.systems/enterprise-support/).
This document explains how to run Constellation with the dynamically billed cloud marketplace images.
## Azure
On Azure, Constellation has a private marketplace plan. Please [contact us](https://www.edgeless.systems/enterprise-support/) to gain access.
To use a marketplace image, you need to accept the marketplace image's terms once for your subscription with the [Azure CLI](https://learn.microsoft.com/en-us/cli/azure/vm/image/terms?view=azure-cli-latest):
```bash
az vm image terms accept --publisher edgelesssystems --offer constellation --plan constellation
```
Then, enable the use of marketplace images in your Constellation `constellation-conf.yaml` [config file](../workflows/config.md):
```bash
yq eval -i ".provider.azure.useMarketplaceImage = true" constellation-conf.yaml
```
Ensure that the cluster uses an official release image version (i.e., `.image=vX.Y.Z` in the `constellation-conf.yaml` file).
From there, you can proceed with the [cluster creation](../workflows/create.md) as usual.
## GCP
On GCP, to use a marketplace image, ensure that the account is entitled to use marketplace images by Edgeless Systems by accepting the terms through the [web portal](https://console.cloud.google.com/marketplace/vm/config/edgeless-systems-public/constellation).
Then, enable the use of marketplace images in your Constellation `constellation-conf.yaml` [config file](../workflows/config.md):
```bash
yq eval -i ".provider.gcp.useMarketplaceImage = true" constellation-conf.yaml
```
Ensure that the cluster uses an official release image version (i.e., `.image=vX.Y.Z` in the `constellation-conf.yaml` file).
From there, you can proceed with the [cluster creation](../workflows/create.md) as usual.

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---
slug: /
id: intro
---
# Introduction
Welcome to the documentation of Constellation! Constellation is a Kubernetes engine that aims to provide the best possible data security.
![Constellation concept](/img/concept.svg)
Constellation shields your entire Kubernetes cluster from the underlying cloud infrastructure. Everything inside is always encrypted, including at runtime in memory. For this, Constellation leverages a technology called *confidential computing* and more specifically Confidential VMs.
:::tip
See the 📄[whitepaper](https://content.edgeless.systems/hubfs/Confidential%20Computing%20Whitepaper.pdf) for more information on confidential computing.
:::
## Goals
From a security perspective, Constellation is designed to keep all data always encrypted and to prevent any access from the underlying (cloud) infrastructure. This includes access from datacenter employees, privileged cloud admins, and attackers coming through the infrastructure. Such attackers could be malicious co-tenants escalating their privileges or hackers who managed to compromise a cloud server.
From a DevOps perspective, Constellation is designed to work just like what you would expect from a modern Kubernetes engine.
## Use cases
Constellation provides unique security [features](overview/confidential-kubernetes.md) and [benefits](overview/security-benefits.md). The core use cases are:
* Increasing the overall security of your clusters
* Increasing the trustworthiness of your SaaS offerings
* Moving sensitive workloads from on-prem to the cloud
* Meeting regulatory requirements
## Next steps
You can learn more about the concept of Confidential Kubernetes, features, security benefits, and performance of Constellation in the *Basics* section. To jump right into the action head to *Getting started*.

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# Feature status of clouds
What works on which cloud? Currently, Confidential VMs (CVMs) are available in varying quality on the different clouds and software stacks.
For Constellation, the ideal environment provides the following:
1. Ability to run arbitrary software and images inside CVMs
2. CVMs based on AMD SEV-SNP (available in EPYC CPUs since the Milan generation) or Intel TDX (available in Xeon CPUs since the Sapphire Rapids generation)
3. Ability for CVM guests to obtain raw hardware attestation statements
4. Reviewable, open-source firmware inside CVMs
5. Capability of the firmware to attest the integrity of the code it passes control to, e.g., with an embedded virtual TPM (vTPM)
(1) is a functional must-have. (2)--(5) are required for remote attestation that fully keeps the infrastructure/cloud out. Constellation can work without them or with approximations, but won't protect against certain privileged attackers anymore.
The following table summarizes the state of features for different infrastructures as of June 2023.
| **Feature** | **Azure** | **GCP** | **AWS** | **OpenStack (Yoga)** |
|-----------------------------------|-----------|---------|---------|----------------------|
| **1. Custom images** | Yes | Yes | Yes | Yes |
| **2. SEV-SNP or TDX** | Yes | Yes | Yes | Depends on kernel/HV |
| **3. Raw guest attestation** | Yes | Yes | Yes | Depends on kernel/HV |
| **4. Reviewable firmware** | No | No | Yes | Depends on kernel/HV |
| **5. Confidential measured boot** | Yes | No | No | Depends on kernel/HV |
## Microsoft Azure
With its [CVM offering](https://docs.microsoft.com/en-us/azure/confidential-computing/confidential-vm-overview), Azure provides the best foundations for Constellation.
Regarding (3), Azure provides direct access to remote-attestation statements.
The firmware runs in an isolated domain inside the CVM and exposes a vTPM (5), but it's closed source (4).
On SEV-SNP, Azure uses VM Privilege Level (VMPL) isolation for the separation of firmware and the rest of the VM; on TDX, they use TD partitioning.
This firmware is signed by Azure.
The signature is reflected in the remote-attestation statements of CVMs.
Thus, the Azure closed-source firmware becomes part of Constellation's trusted computing base (TCB).
## Google Cloud Platform (GCP)
The [CVMs Generally Available in GCP](https://cloud.google.com/compute/confidential-vm/docs/create-confidential-vm-instance) are based on AMD SEV but don't have SNP features enabled.
CVMs with SEV-SNP enabled are currently in [public preview](https://cloud.google.com/blog/products/identity-security/rsa-snp-vm-more-confidential). Regarding (3), with their SEV-SNP offering Google provides direct access to remote-attestation statements.
However, regarding (5), attestation is partially based on the [Shielded VM vTPM](https://cloud.google.com/compute/shielded-vm/docs/shielded-vm#vtpm) for [measured boot](../architecture/attestation.md#measured-boot), which is a vTPM managed by Google's hypervisor.
Hence, the hypervisor is currently part of Constellation's TCB.
Regarding (4), the CVMs still include closed-source firmware.
In the past, Intel and Google have [collaborated](https://cloud.google.com/blog/products/identity-security/rsa-google-intel-confidential-computing-more-secure) to enhance the security of TDX.
Recently, Google has announced a [private preview for TDX](https://cloud.google.com/blog/products/identity-security/confidential-vms-on-intel-cpus-your-datas-new-intelligent-defense?hl=en).
With TDX on Google, Constellation has a similar TCB and attestation flow as with the current SEV-SNP offering.
## Amazon Web Services (AWS)
Amazon EC2 [supports AMD SEV-SNP](https://aws.amazon.com/de/about-aws/whats-new/2023/04/amazon-ec2-amd-sev-snp/).
Regarding (3), AWS provides direct access to remote-attestation statements.
However, regarding (5), attestation is partially based on the [NitroTPM](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/nitrotpm.html) for [measured boot](../architecture/attestation.md#measured-boot), which is a vTPM managed by the Nitro hypervisor.
Hence, the hypervisor is currently part of Constellation's TCB.
Regarding (4), the [firmware is open source](https://github.com/aws/uefi) and can be reproducibly built.
## OpenStack
OpenStack is an open-source cloud and infrastructure management software. It's used by many smaller CSPs and datacenters. In the latest *Yoga* version, OpenStack has basic support for CVMs. However, much depends on the employed kernel and hypervisor. Features (2)--(4) are likely to be a *Yes* with Linux kernel version 6.2. Thus, going forward, OpenStack on corresponding AMD or Intel hardware will be a viable underpinning for Constellation.
## Conclusion
The different clouds and software like the Linux kernel and OpenStack are in the process of building out their support for state-of-the-art CVMs. Azure has already most features in place. For Constellation, the status quo means that the TCB has different shapes on different infrastructures. With broad SEV-SNP support coming to the Linux kernel, we soon expect a normalization of features across infrastructures.

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# Confidential Kubernetes
We use the term *Confidential Kubernetes* to refer to the concept of using confidential-computing technology to shield entire Kubernetes clusters from the infrastructure. The three defining properties of this concept are:
1. **Workload shielding**: the confidentiality and integrity of all workload-related data and code are enforced.
2. **Control plane shielding**: the confidentiality and integrity of the cluster's control plane, state, and workload configuration are enforced.
3. **Attestation and verifiability**: the two properties above can be verified remotely based on hardware-rooted cryptographic certificates.
Each of the above properties is equally important. Only with all three in conjunction, an entire cluster can be shielded without gaps.
## Constellation security features
Constellation implements the Confidential Kubernetes concept with the following security features.
* **Runtime encryption**: Constellation runs all Kubernetes nodes inside Confidential VMs (CVMs). This gives runtime encryption for the entire cluster.
* **Network and storage encryption**: Constellation augments this with transparent encryption of the [network](../architecture/networking.md), [persistent storage](../architecture/encrypted-storage.md), and other managed storage like [AWS S3](../architecture/encrypted-storage.md#encrypted-s3-object-storage). Thus, workloads and control plane are truly end-to-end encrypted: at rest, in transit, and at runtime.
* **Transparent key management**: Constellation manages the corresponding [cryptographic keys](../architecture/keys.md) inside CVMs.
* **Node attestation and verification**: Constellation verifies the integrity of each new CVM-based node using [remote attestation](../architecture/attestation.md). Only "good" nodes receive the cryptographic keys required to access the network and storage of a cluster.
* **Confidential computing-optimized images**: A node is "good" if it's running a signed Constellation [node image](../architecture/images.md) inside a CVM and is in the expected state. (Node images are hardware-measured during boot. The measurements are reflected in the attestation statements that are produced by nodes and verified by Constellation.)
* **"Whole cluster" attestation**: Towards the DevOps engineer, Constellation provides a single hardware-rooted certificate from which all of the above can be verified.
With the above, Constellation wraps an entire cluster into one coherent and verifiable *confidential context*. The concept is depicted in the following.
![Confidential Kubernetes](../_media/concept-constellation.svg)
## Contrast: Managed Kubernetes with CVMs
In contrast, managed Kubernetes with CVMs, as it's for example offered in [AKS](https://azure.microsoft.com/en-us/services/kubernetes-service/) and [GKE](https://cloud.google.com/kubernetes-engine), only provides runtime encryption for certain worker nodes. Here, each worker node is a separate (and typically unverified) confidential context. This only provides limited security benefits as it only prevents direct access to a worker node's memory. The large majority of potential attacks through the infrastructure remain unaffected. This includes attacks through the control plane, access to external key management, and the corruption of worker node images. This leaves many problems unsolved. For instance, *Node A* has no means to verify if *Node B* is "good" and if it's OK to share data with it. Consequently, this approach leaves a large attack surface, as is depicted in the following.
![Concept: Managed Kubernetes plus CVMs](../_media/concept-managed.svg)
The following table highlights the key differences in terms of features.
| | Managed Kubernetes with CVMs | Confidential Kubernetes (Constellation✨) |
|-------------------------------------|------------------------------|--------------------------------------------|
| Runtime encryption | Partial (data plane only)| **Yes** |
| Node image verification | No | **Yes** |
| Full cluster attestation | No | **Yes** |
| Transparent network encryption | No | **Yes** |
| Transparent storage encryption | No | **Yes** |
| Confidential key management | No | **Yes** |
| Cloud agnostic / multi-cloud | No | **Yes** |

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# License
## Source code
Constellation's source code is available on [GitHub](https://github.com/edgelesssys/constellation) under the [GNU Affero General Public License v3.0](https://github.com/edgelesssys/constellation/blob/main/LICENSE).
## Binaries
Edgeless Systems provides ready-to-use and [signed](../architecture/attestation.md#chain-of-trust) binaries of Constellation. This includes the CLI and the [node images](../architecture/images.md).
These binaries may be used free of charge within the bounds of Constellation's [**Community License**](#community-license). An [**Enterprise License**](#enterprise-license) can be purchased from Edgeless Systems.
The Constellation CLI displays relevant license information when you initialize your cluster. You are responsible for staying within the bounds of your respective license. Constellation doesn't enforce any limits so as not to endanger your cluster's availability.
## Terraform provider
Edgeless Systems provides a [Terraform provider](https://github.com/edgelesssys/terraform-provider-constellation/releases), which may be used free of charge within the bounds of Constellation's [**Community License**](#community-license). An [**Enterprise License**](#enterprise-license) can be purchased from Edgeless Systems.
You are responsible for staying within the bounds of your respective license. Constellation doesn't enforce any limits so as not to endanger your cluster's availability.
## Community License
You are free to use the Constellation binaries provided by Edgeless Systems to create services for internal consumption, evaluation purposes, or non-commercial use. You must not use the Constellation binaries to provide commercial hosted services to third parties. Edgeless Systems gives no warranties and offers no support.
## Enterprise License
Enterprise Licenses don't have the above limitations and come with support and additional features. Find out more at the [product website](https://www.edgeless.systems/products/constellation/).
Once you have received your Enterprise License file, place it in your [Constellation workspace](../architecture/orchestration.md#workspaces) in a file named `constellation.license`.
## CSP Marketplaces
Constellation is available through the Marketplaces of Azure and GCP. This allows you to create self-managed Constellation clusters that are billed on a pay-per-use basis (hourly, per vCPU) with your CSP account. You can still get direct support by Edgeless Systems. For more information, please [contact us](https://www.edgeless.systems/enterprise-support/).

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# Application benchmarks
## HashiCorp Vault
[HashiCorp Vault](https://www.vaultproject.io/) is a distributed secrets management software that can be deployed to Kubernetes.
HashiCorp maintains a benchmarking tool for vault, [vault-benchmark](https://github.com/hashicorp/vault-benchmark/).
Vault-benchmark generates load on a Vault deployment and measures response times.
This article describes the results from running vault-benchmark on Constellation, AKS, and GKE.
You can find the setup for producing the data discussed in this article in the [vault-benchmarks](https://github.com/edgelesssys/vault-benchmarks) repository.
The Vault API used during benchmarking is the [transits secret engine](https://developer.hashicorp.com/vault/docs/secrets/transit).
This allows services to send data to Vault for encryption, decryption, signing, and verification.
## Results
On each run, vault-benchmark sends requests and measures the latencies.
The measured latencies are aggregated through various statistical features.
After running the benchmark n times, the arithmetic mean over a subset of the reported statistics is calculated.
The selected features are arithmetic mean, 99th percentile, minimum, and maximum.
Arithmetic mean gives a general sense of the latency on each target.
The 99th percentile shows performance in (most likely) erroneous states.
Minimum and maximum mark the range within which latency varies each run.
The benchmark was configured with 1300 workers and 10 seconds per run.
Those numbers were chosen empirically.
The latency was stabilizing at 10 seconds runtime, not changing with further increase.
Increasing the number of workers beyond 1300 leads to request failures, marking the limit Vault was able to handle in this setup.
All results are based on 100 runs.
The following data was generated while running five replicas, one primary, and four standby nodes.
All numbers are in seconds if not indicated otherwise.
```
========== Results AKS ==========
Mean: mean: 1.632200, variance: 0.002057
P99: mean: 5.480679, variance: 2.263700
Max: mean: 6.651001, variance: 2.808401
Min: mean: 0.011415, variance: 0.000133
========== Results GKE ==========
Mean: mean: 1.656435, variance: 0.003615
P99: mean: 6.030807, variance: 3.955051
Max: mean: 7.164843, variance: 3.300004
Min: mean: 0.010233, variance: 0.000111
========== Results C11n ==========
Mean: mean: 1.651549, variance: 0.001610
P99: mean: 5.780422, variance: 3.016106
Max: mean: 6.942997, variance: 3.075796
Min: mean: 0.013774, variance: 0.000228
========== AKS vs C11n ==========
Mean: +1.171577 % (AKS is faster)
P99: +5.185495 % (AKS is faster)
Max: +4.205618 % (AKS is faster)
Min: +17.128781 % (AKS is faster)
========== GKE vs C11n ==========
Mean: -0.295851 % (GKE is slower)
P99: -4.331603 % (GKE is slower)
Max: -3.195248 % (GKE is slower)
Min: +25.710886 % (GKE is faster)
```
**Interpretation**: Latencies are all within ~5% of each other.
AKS performs slightly better than GKE and Constellation (C11n) in all cases except minimum latency.
Minimum latency is the lowest for GKE.
Compared to GKE, Constellation had slightly lower peak latencies (99th percentile and maximum), indicating that Constellation could have handled slightly more concurrent accesses than GKE.
Overall, performance is at comparable levels across all three distributions.
Based on these numbers, you can use a similarly sized Constellation cluster to run your existing Vault deployment.
### Visualization
The following plots visualize the data presented above as [box plots](https://en.wikipedia.org/wiki/Box_plot).
The whiskers denote the minimum and maximum.
The box stretches from the 25th to the 75th percentile, with the dividing bar marking the 50th percentile.
The circles outside the whiskers denote outliers.
<details>
<summary>Mean Latency</summary>
![Mean Latency](../../_media/benchmark_vault/5replicas/mean_latency.png)
</details>
<details>
<summary>99th Percentile Latency</summary>
![99th Percentile Latency](../../_media/benchmark_vault/5replicas/p99_latency.png)
</details>
<details>
<summary>Maximum Latency</summary>
![Maximum Latency](../../_media/benchmark_vault/5replicas/max_latency.png)
</details>
<details>
<summary>Minimum Latency</summary>
![Minimum Latency](../../_media/benchmark_vault/5replicas/min_latency.png)
</details>

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# I/O performance benchmarks
To assess the overall performance of Constellation, this benchmark evaluates Constellation v2.6.0 in terms of storage I/O using [`fio`](https://fio.readthedocs.io/en/latest/fio_doc.html) and network performance using the [Kubernetes Network Benchmark](https://github.com/InfraBuilder/k8s-bench-suite#knb--kubernetes-network-be).
This benchmark tested Constellation on Azure and GCP and compared the results against the managed Kubernetes offerings AKS and GKE.
## Configurations
### Constellation
The benchmark was conducted with Constellation v2.6.0, Kubernetes v1.25.7, and Cilium v1.12.
It ran on the following infrastructure configurations.
Constellation on Azure:
- Nodes: 3 (1 Control-plane, 2 Worker)
- Machines: `DC4as_v5`: 3rd Generation AMD EPYC 7763v (Milan) processor with 4 Cores, 16 GiB memory
- CVM: `true`
- Region: `West US`
- Zone: `2`
Constellation on GCP:
- Nodes: 3 (1 Control-plane, 2 Worker)
- Machines: `n2d-standard-4`: 2nd Generation AMD EPYC (Rome) processor with 4 Cores, 16 GiB of memory
- CVM: `true`
- Zone: `europe-west3-b`
### AKS
On AKS, the benchmark used Kubernetes `v1.24.9` and nodes with version `AKSUbuntu-1804gen2containerd-2023.02.15`.
AKS ran with the [`kubenet`](https://learn.microsoft.com/en-us/azure/aks/concepts-network#kubenet-basic-networking) CNI and the [default CSI driver](https://learn.microsoft.com/en-us/azure/aks/azure-disk-csi) for Azure Disk.
The following infrastructure configurations was used:
- Nodes: 2 (2 Worker)
- Machines: `D4as_v5`: 3rd Generation AMD EPYC 7763v (Milan) processor with 4 Cores, 16 GiB memory
- CVM: `false`
- Region: `West US`
- Zone: `2`
### GKE
On GKE, the benchmark used Kubernetes `v1.24.9` and nodes with version `1.24.9-gke.3200`.
GKE ran with the [`kubenet`](https://cloud.google.com/kubernetes-engine/docs/concepts/network-overview) CNI and the [default CSI driver](https://cloud.google.com/kubernetes-engine/docs/how-to/persistent-volumes/gce-pd-csi-driver) for Compute Engine persistent disk.
The following infrastructure configurations was used:
- Nodes: 2 (2 Worker)
- Machines: `n2d-standard-4` 2nd Generation AMD EPYC (Rome) processor with 4 Cores, 16 GiB of memory
- CVM: `false`
- Zone: `europe-west3-b`
## Results
### Network
This section gives a thorough analysis of the network performance of Constellation, specifically focusing on measuring TCP and UDP bandwidth.
The benchmark measured the bandwidth of pod-to-pod and pod-to-service connections between two different nodes using [`iperf`](https://iperf.fr/).
GKE and Constellation on GCP had a maximum network bandwidth of [10 Gbps](https://cloud.google.com/compute/docs/general-purpose-machines#n2d_machines).
AKS with `Standard_D4as_v5` machines a maximum network bandwidth of [12.5 Gbps](https://learn.microsoft.com/en-us/azure/virtual-machines/dasv5-dadsv5-series#dasv5-series).
The Confidential VM equivalent `Standard_DC4as_v5` currently has a network bandwidth of [1.25 Gbps](https://learn.microsoft.com/en-us/azure/virtual-machines/dcasv5-dcadsv5-series#dcasv5-series-products).
Therefore, to make the test comparable, both AKS and Constellation on Azure were running with `Standard_DC4as_v5` machines and 1.25 Gbps bandwidth.
Constellation on Azure and AKS used an MTU of 1500.
Constellation on GCP used an MTU of 8896. GKE used an MTU of 1450.
The difference in network bandwidth can largely be attributed to two factors.
- Constellation's [network encryption](../../architecture/networking.md) via Cilium and WireGuard, which protects data in-transit.
- [AMD SEV using SWIOTLB bounce buffers](https://lore.kernel.org/all/20200204193500.GA15564@ashkalra_ubuntu_server/T/) for all DMA including network I/O.
#### Pod-to-Pod
In this scenario, the client Pod connects directly to the server pod via its IP address.
```mermaid
flowchart LR
subgraph Node A
Client[Client]
end
subgraph Node B
Server[Server]
end
Client ==>|traffic| Server
```
The results for "Pod-to-Pod" on Azure are as follows:
![Network Pod2Pod Azure benchmark graph](../../_media/benchmark_net_p2p_azure.png)
The results for "Pod-to-Pod" on GCP are as follows:
![Network Pod2Pod GCP benchmark graph](../../_media/benchmark_net_p2p_gcp.png)
#### Pod-to-Service
In this scenario, the client Pod connects to the server Pod via a ClusterIP service. This is more relevant to real-world use cases.
```mermaid
flowchart LR
subgraph Node A
Client[Client] ==>|traffic| Service[Service]
end
subgraph Node B
Server[Server]
end
Service ==>|traffic| Server
```
The results for "Pod-to-Pod" on Azure are as follows:
![Network Pod2SVC Azure benchmark graph](../../_media/benchmark_net_p2svc_azure.png)
The results for "Pod-to-Pod" on GCP are as follows:
![Network Pod2SVC GCP benchmark graph](../../_media/benchmark_net_p2svc_gcp.png)
In our recent comparison of Constellation on GCP with GKE, Constellation has 58% less TCP bandwidth. However, UDP bandwidth was slightly better with Constellation, thanks to its higher MTU.
Similarly, when comparing Constellation on Azure with AKS using CVMs, Constellation achieved approximately 10% less TCP and 40% less UDP bandwidth.
### Storage I/O
Azure and GCP offer persistent storage for their Kubernetes services AKS and GKE via the Container Storage Interface (CSI). CSI storage in Kubernetes is available via `PersistentVolumes` (PV) and consumed via `PersistentVolumeClaims` (PVC).
Upon requesting persistent storage through a PVC, GKE and AKS will provision a PV as defined by a default [storage class](https://kubernetes.io/docs/concepts/storage/storage-classes/).
Constellation provides persistent storage on Azure and GCP [that's encrypted on the CSI layer](../../architecture/encrypted-storage.md).
Similarly, upon a PVC request, Constellation will provision a PV via a default storage class.
For Constellation on Azure and AKS, the benchmark ran with Azure Disk storage [Standard SSD](https://learn.microsoft.com/en-us/azure/virtual-machines/disks-types#standard-ssds) of 400 GiB size.
The [DC4as machine type](https://learn.microsoft.com/en-us/azure/virtual-machines/dasv5-dadsv5-series#dasv5-series) with four cores provides the following maximum performance:
- 6400 (20000 burst) IOPS
- 144 MB/s (600 MB/s burst) throughput
However, the performance is bound by the capabilities of the [512 GiB Standard SSD size](https://learn.microsoft.com/en-us/azure/virtual-machines/disks-types#standard-ssds) (the size class of 400 GiB volumes):
- 500 (600 burst) IOPS
- 60 MB/s (150 MB/s burst) throughput
For Constellation on GCP and GKE, the benchmark ran with Compute Engine Persistent Disk Storage [pd-balanced](https://cloud.google.com/compute/docs/disks) of 400 GiB size.
The N2D machine type with four cores and pd-balanced provides the following [maximum performance](https://cloud.google.com/compute/docs/disks/performance#n2d_vms):
- 3,000 read IOPS
- 15,000 write IOPS
- 240 MB/s read throughput
- 240 MB/s write throughput
However, the performance is bound by the capabilities of a [`Zonal balanced PD`](https://cloud.google.com/compute/docs/disks/performance#zonal-persistent-disks) with 400 GiB size:
- 2400 read IOPS
- 2400 write IOPS
- 112 MB/s read throughput
- 112 MB/s write throughput
The [`fio`](https://fio.readthedocs.io/en/latest/fio_doc.html) benchmark consists of several tests.
The benchmark used [`Kubestr`](https://github.com/kastenhq/kubestr) to run `fio` in Kubernetes.
The default test performs randomized access patterns that accurately depict worst-case I/O scenarios for most applications.
The following `fio` settings were used:
- No Cloud caching
- No OS caching
- Single CPU
- 60 seconds runtime
- 10 seconds ramp-up time
- 10 GiB file
- IOPS: 4 KB blocks and 128 iodepth
- Bandwidth: 1024 KB blocks and 128 iodepth
For more details, see the [`fio` test configuration](https://github.com/edgelesssys/constellation/blob/main/.github/actions/e2e_benchmark/fio.ini).
The results for IOPS on Azure are as follows:
![I/O IOPS Azure benchmark graph](../../_media/benchmark_fio_azure_iops.png)
The results for IOPS on GCP are as follows:
![I/O IOPS GCP benchmark graph](../../_media/benchmark_fio_gcp_iops.png)
The results for bandwidth on Azure are as follows:
![I/O bandwidth Azure benchmark graph](../../_media/benchmark_fio_azure_bw.png)
The results for bandwidth on GCP are as follows:
![I/O bandwidth GCP benchmark graph](../../_media/benchmark_fio_gcp_bw.png)
On GCP, the results exceed the maximum performance guarantees of the chosen disk type. There are two possible explanations for this. The first is that there may be cloud caching in place that isn't configurable. Alternatively, the underlying provisioned disk size may be larger than what was requested, resulting in higher performance boundaries.
When comparing Constellation on GCP with GKE, Constellation has similar bandwidth but about 10% less IOPS performance. On Azure, Constellation has similar IOPS performance compared to AKS, where both likely hit the maximum storage performance. However, Constellation has approximately 15% less read and write bandwidth.
## Conclusion
Despite the added [security benefits](../security-benefits.md) that Constellation provides, it only incurs a slight performance overhead when compared to managed Kubernetes offerings such as AKS and GKE. In most compute benchmarks, Constellation is on par with it's alternatives.
While it may be slightly slower in certain I/O scenarios due to network and storage encryption, there is ongoing work to reduce this overhead to single digits.
For instance, storage encryption only adds between 10% to 15% overhead in terms of bandwidth and IOPS.
Meanwhile, the biggest performance impact that Constellation currently faces is network encryption, which can incur up to 58% overhead on a 10 Gbps network.
However, the Cilium team has conducted [benchmarks with Cilium using WireGuard encryption](https://docs.cilium.io/en/latest/operations/performance/benchmark/#encryption-wireguard-ipsec) on a 100 Gbps network that yielded over 15 Gbps.
We're confident that Constellation will provide a similar level of performance with an upcoming release.
Overall, Constellation strikes a great balance between security and performance, and we're continuously working to improve its performance capabilities while maintaining its high level of security.

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# Performance analysis of Constellation
This section provides a comprehensive examination of the performance characteristics of Constellation, encompassing various aspects, including runtime encryption, I/O benchmarks, and real-world applications.
## Impact of runtime encryption on performance
All nodes in a Constellation cluster are executed inside Confidential VMs (CVMs). Consequently, the performance of Constellation is inherently linked to the performance of these CVMs.
### AMD and Azure benchmarking
AMD and Azure have collectively released a [performance benchmark](https://community.amd.com/t5/business/microsoft-azure-confidential-computing-powered-by-3rd-gen-epyc/ba-p/497796) for CVMs that utilize 3rd Gen AMD EPYC processors (Milan) with SEV-SNP. This benchmark, which included a variety of mostly compute-intensive tests such as SPEC CPU 2017 and CoreMark, demonstrated that CVMs experience only minor performance degradation (ranging from 2% to 8%) when compared to standard VMs. Such results are indicative of the performance that can be expected from compute-intensive workloads running with Constellation on Azure.
### AMD and Google benchmarking
Similarly, AMD and Google have jointly released a [performance benchmark](https://www.amd.com/system/files/documents/3rd-gen-epyc-gcp-c2d-conf-compute-perf-brief.pdf) for CVMs employing 3rd Gen AMD EPYC processors (Milan) with SEV-SNP. With high-performance computing workloads such as WRF, NAMD, Ansys CFS, and Ansys LS_DYNA, they observed analogous findings, with only minor performance degradation (between 2% and 4%) compared to standard VMs. These outcomes are reflective of the performance that can be expected for compute-intensive workloads running with Constellation on GCP.
## I/O performance benchmarks
We evaluated the [I/O performance](io.md) of Constellation, utilizing a collection of synthetic benchmarks targeting networking and storage.
We further compared this performance to native managed Kubernetes offerings from various cloud providers, to better understand how Constellation stands in relation to standard practices.
## Application benchmarking
To gauge Constellation's applicability to well-known applications, we performed a [benchmark of HashiCorp Vault](application.md) running on Constellation.
The results were then compared to deployments on the managed Kubernetes offerings from different cloud providers, providing a tangible perspective on Constellation's performance in actual deployment scenarios.

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# Product features
Constellation is a Kubernetes engine that aims to provide the best possible data security in combination with enterprise-grade scalability and reliability features---and a smooth user experience.
From a security perspective, Constellation implements the [Confidential Kubernetes](confidential-kubernetes.md) concept and corresponding security features, which shield your entire cluster from the underlying infrastructure.
From an operational perspective, Constellation provides the following key features:
* **Native support for different clouds**: Constellation works on Microsoft Azure, Google Cloud Platform (GCP), and Amazon Web Services (AWS). Support for OpenStack-based environments is coming with a future release. Constellation securely interfaces with the cloud infrastructure to provide [cluster autoscaling](https://github.com/kubernetes/autoscaler/tree/master/cluster-autoscaler), [dynamic persistent volumes](https://kubernetes.io/docs/concepts/storage/dynamic-provisioning/), and [service load balancing](https://kubernetes.io/docs/concepts/services-networking/service/#loadbalancer).
* **High availability**: Constellation uses a [multi-master architecture](https://kubernetes.io/docs/setup/production-environment/tools/kubeadm/high-availability/) with a [stacked etcd topology](https://kubernetes.io/docs/setup/production-environment/tools/kubeadm/ha-topology/#stacked-etcd-topology) to ensure high availability.
* **Integrated Day-2 operations**: Constellation lets you securely [upgrade](../workflows/upgrade.md) your cluster to a new release. It also lets you securely [recover](../workflows/recovery.md) a failed cluster. Both with a single command.
* **Support for Terraform**: Constellation includes a [Terraform provider](../workflows/terraform-provider.md) that lets you manage the full lifecycle of your cluster via Terraform.

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# Security benefits and threat model
Constellation implements the [Confidential Kubernetes](confidential-kubernetes.md) concept and shields entire Kubernetes deployments from the infrastructure. More concretely, Constellation decreases the size of the trusted computing base (TCB) of a Kubernetes deployment. The TCB is the totality of elements in a computing environment that must be trusted not to be compromised. A smaller TCB results in a smaller attack surface. The following diagram shows how Constellation removes the *cloud & datacenter infrastructure* and the *physical hosts*, including the hypervisor, the host OS, and other components, from the TCB (red). Inside the confidential context (green), Kubernetes remains part of the TCB, but its integrity is attested and can be [verified](../workflows/verify-cluster.md).
![TCB comparison](../_media/tcb.svg)
Given this background, the following describes the concrete threat classes that Constellation addresses.
## Insider access
Employees and third-party contractors of cloud service providers (CSPs) have access to different layers of the cloud infrastructure.
This opens up a large attack surface where workloads and data can be read, copied, or manipulated. With Constellation, Kubernetes deployments are shielded from the infrastructure and thus such accesses are prevented.
## Infrastructure-based attacks
Malicious cloud users ("hackers") may break out of their tenancy and access other tenants' data. Advanced attackers may even be able to establish a permanent foothold within the infrastructure and access data over a longer period. Analogously to the *insider access* scenario, Constellation also prevents access to a deployment's data in this scenario.
## Supply chain attacks
Supply chain security is receiving lots of attention recently due to an [increasing number of recorded attacks](https://www.enisa.europa.eu/news/enisa-news/understanding-the-increase-in-supply-chain-security-attacks). For instance, a malicious actor could attempt to tamper Constellation node images (including Kubernetes and other software) before they're loaded in the confidential VMs of a cluster. Constellation uses [remote attestation](../architecture/attestation.md) in conjunction with public [transparency logs](../workflows/verify-cli.md) to prevent this.
In the future, Constellation will extend this feature to customer workloads. This will enable cluster owners to create auditable policies that precisely define which containers can run in a given deployment.

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# CLI reference
<!-- This file is generated by constellation/hack/clidocgen via update-cli-reference.yml workflow. Don't edit manually. -->
Use the Constellation CLI to create and manage your clusters.
Usage:
```
constellation [command]
```
Commands:
* [config](#constellation-config): Work with the Constellation configuration file
* [generate](#constellation-config-generate): Generate a default configuration and state file
* [fetch-measurements](#constellation-config-fetch-measurements): Fetch measurements for configured cloud provider and image
* [instance-types](#constellation-config-instance-types): Print the supported instance types for all cloud providers
* [kubernetes-versions](#constellation-config-kubernetes-versions): Print the Kubernetes versions supported by this CLI
* [migrate](#constellation-config-migrate): Migrate a configuration file to a new version
* [create](#constellation-create): Create instances on a cloud platform for your Constellation cluster
* [apply](#constellation-apply): Apply a configuration to a Constellation cluster
* [mini](#constellation-mini): Manage MiniConstellation clusters
* [up](#constellation-mini-up): Create and initialize a new MiniConstellation cluster
* [down](#constellation-mini-down): Destroy a MiniConstellation cluster
* [status](#constellation-status): Show status of a Constellation cluster
* [verify](#constellation-verify): Verify the confidential properties of a Constellation cluster
* [upgrade](#constellation-upgrade): Find and apply upgrades to your Constellation cluster
* [check](#constellation-upgrade-check): Check for possible upgrades
* [apply](#constellation-upgrade-apply): Apply an upgrade to a Constellation cluster
* [recover](#constellation-recover): Recover a completely stopped Constellation cluster
* [terminate](#constellation-terminate): Terminate a Constellation cluster
* [iam](#constellation-iam): Work with the IAM configuration on your cloud provider
* [create](#constellation-iam-create): Create IAM configuration on a cloud platform for your Constellation cluster
* [aws](#constellation-iam-create-aws): Create IAM configuration on AWS for your Constellation cluster
* [azure](#constellation-iam-create-azure): Create IAM configuration on Microsoft Azure for your Constellation cluster
* [gcp](#constellation-iam-create-gcp): Create IAM configuration on GCP for your Constellation cluster
* [destroy](#constellation-iam-destroy): Destroy an IAM configuration and delete local Terraform files
* [upgrade](#constellation-iam-upgrade): Find and apply upgrades to your IAM profile
* [apply](#constellation-iam-upgrade-apply): Apply an upgrade to an IAM profile
* [version](#constellation-version): Display version of this CLI
* [init](#constellation-init): Initialize the Constellation cluster
## constellation config
Work with the Constellation configuration file
### Synopsis
Work with the Constellation configuration file.
### Options
```
-h, --help help for config
```
### Options inherited from parent commands
```
--debug enable debug logging
--force disable version compatibility checks - might result in corrupted clusters
--tf-log string Terraform log level (default "NONE")
-C, --workspace string path to the Constellation workspace
```
## constellation config generate
Generate a default configuration and state file
### Synopsis
Generate a default configuration and state file for your selected cloud provider.
```
constellation config generate {aws|azure|gcp|openstack|qemu|stackit} [flags]
```
### Options
```
-a, --attestation string attestation variant to use {aws-sev-snp|aws-nitro-tpm|azure-sev-snp|azure-tdx|azure-trustedlaunch|gcp-sev-es|qemu-vtpm}. If not specified, the default for the cloud provider is used
-h, --help help for generate
-k, --kubernetes string Kubernetes version to use in format MAJOR.MINOR (default "v1.28")
```
### Options inherited from parent commands
```
--debug enable debug logging
--force disable version compatibility checks - might result in corrupted clusters
--tf-log string Terraform log level (default "NONE")
-C, --workspace string path to the Constellation workspace
```
## constellation config fetch-measurements
Fetch measurements for configured cloud provider and image
### Synopsis
Fetch measurements for configured cloud provider and image.
A config needs to be generated first.
```
constellation config fetch-measurements [flags]
```
### Options
```
-h, --help help for fetch-measurements
-s, --signature-url string alternative URL to fetch measurements' signature from
-u, --url string alternative URL to fetch measurements from
```
### Options inherited from parent commands
```
--debug enable debug logging
--force disable version compatibility checks - might result in corrupted clusters
--tf-log string Terraform log level (default "NONE")
-C, --workspace string path to the Constellation workspace
```
## constellation config instance-types
Print the supported instance types for all cloud providers
### Synopsis
Print the supported instance types for all cloud providers.
```
constellation config instance-types [flags]
```
### Options
```
-h, --help help for instance-types
```
### Options inherited from parent commands
```
--debug enable debug logging
--force disable version compatibility checks - might result in corrupted clusters
--tf-log string Terraform log level (default "NONE")
-C, --workspace string path to the Constellation workspace
```
## constellation config kubernetes-versions
Print the Kubernetes versions supported by this CLI
### Synopsis
Print the Kubernetes versions supported by this CLI.
```
constellation config kubernetes-versions [flags]
```
### Options
```
-h, --help help for kubernetes-versions
```
### Options inherited from parent commands
```
--debug enable debug logging
--force disable version compatibility checks - might result in corrupted clusters
--tf-log string Terraform log level (default "NONE")
-C, --workspace string path to the Constellation workspace
```
## constellation config migrate
Migrate a configuration file to a new version
### Synopsis
Migrate a configuration file to a new version.
```
constellation config migrate [flags]
```
### Options
```
-h, --help help for migrate
```
### Options inherited from parent commands
```
--debug enable debug logging
--force disable version compatibility checks - might result in corrupted clusters
--tf-log string Terraform log level (default "NONE")
-C, --workspace string path to the Constellation workspace
```
## constellation create
Create instances on a cloud platform for your Constellation cluster
### Synopsis
Create instances on a cloud platform for your Constellation cluster.
```
constellation create [flags]
```
### Options
```
-h, --help help for create
-y, --yes create the cluster without further confirmation
```
### Options inherited from parent commands
```
--debug enable debug logging
--force disable version compatibility checks - might result in corrupted clusters
--tf-log string Terraform log level (default "NONE")
-C, --workspace string path to the Constellation workspace
```
## constellation apply
Apply a configuration to a Constellation cluster
### Synopsis
Apply a configuration to a Constellation cluster to initialize or upgrade the cluster.
```
constellation apply [flags]
```
### Options
```
--conformance enable conformance mode
-h, --help help for apply
--merge-kubeconfig merge Constellation kubeconfig file with default kubeconfig file in $HOME/.kube/config
--skip-helm-wait install helm charts without waiting for deployments to be ready
--skip-phases strings comma-separated list of upgrade phases to skip
one or multiple of { infrastructure | init | attestationconfig | certsans | helm | image | k8s }
-y, --yes run command without further confirmation
WARNING: the command might delete or update existing resources without additional checks. Please read the docs.
```
### Options inherited from parent commands
```
--debug enable debug logging
--force disable version compatibility checks - might result in corrupted clusters
--tf-log string Terraform log level (default "NONE")
-C, --workspace string path to the Constellation workspace
```
## constellation mini
Manage MiniConstellation clusters
### Synopsis
Manage MiniConstellation clusters.
### Options
```
-h, --help help for mini
```
### Options inherited from parent commands
```
--debug enable debug logging
--force disable version compatibility checks - might result in corrupted clusters
--tf-log string Terraform log level (default "NONE")
-C, --workspace string path to the Constellation workspace
```
## constellation mini up
Create and initialize a new MiniConstellation cluster
### Synopsis
Create and initialize a new MiniConstellation cluster.
A mini cluster consists of a single control-plane and worker node, hosted using QEMU/KVM.
```
constellation mini up [flags]
```
### Options
```
-h, --help help for up
--merge-kubeconfig merge Constellation kubeconfig file with default kubeconfig file in $HOME/.kube/config (default true)
```
### Options inherited from parent commands
```
--debug enable debug logging
--force disable version compatibility checks - might result in corrupted clusters
--tf-log string Terraform log level (default "NONE")
-C, --workspace string path to the Constellation workspace
```
## constellation mini down
Destroy a MiniConstellation cluster
### Synopsis
Destroy a MiniConstellation cluster.
```
constellation mini down [flags]
```
### Options
```
-h, --help help for down
-y, --yes terminate the cluster without further confirmation
```
### Options inherited from parent commands
```
--debug enable debug logging
--force disable version compatibility checks - might result in corrupted clusters
--tf-log string Terraform log level (default "NONE")
-C, --workspace string path to the Constellation workspace
```
## constellation status
Show status of a Constellation cluster
### Synopsis
Show the status of a constellation cluster.
Shows microservice, image, and Kubernetes versions installed in the cluster. Also shows status of current version upgrades.
```
constellation status [flags]
```
### Options
```
-h, --help help for status
```
### Options inherited from parent commands
```
--debug enable debug logging
--force disable version compatibility checks - might result in corrupted clusters
--tf-log string Terraform log level (default "NONE")
-C, --workspace string path to the Constellation workspace
```
## constellation verify
Verify the confidential properties of a Constellation cluster
### Synopsis
Verify the confidential properties of a Constellation cluster.
If arguments aren't specified, values are read from `constellation-state.yaml`.
```
constellation verify [flags]
```
### Options
```
--cluster-id string expected cluster identifier
-h, --help help for verify
-e, --node-endpoint string endpoint of the node to verify, passed as HOST[:PORT]
-o, --output string print the attestation document in the output format {json|raw}
```
### Options inherited from parent commands
```
--debug enable debug logging
--force disable version compatibility checks - might result in corrupted clusters
--tf-log string Terraform log level (default "NONE")
-C, --workspace string path to the Constellation workspace
```
## constellation upgrade
Find and apply upgrades to your Constellation cluster
### Synopsis
Find and apply upgrades to your Constellation cluster.
### Options
```
-h, --help help for upgrade
```
### Options inherited from parent commands
```
--debug enable debug logging
--force disable version compatibility checks - might result in corrupted clusters
--tf-log string Terraform log level (default "NONE")
-C, --workspace string path to the Constellation workspace
```
## constellation upgrade check
Check for possible upgrades
### Synopsis
Check which upgrades can be applied to your Constellation Cluster.
```
constellation upgrade check [flags]
```
### Options
```
-h, --help help for check
--ref string the reference to use for querying new versions (default "-")
--stream string the stream to use for querying new versions (default "stable")
-u, --update-config update the specified config file with the suggested versions
```
### Options inherited from parent commands
```
--debug enable debug logging
--force disable version compatibility checks - might result in corrupted clusters
--tf-log string Terraform log level (default "NONE")
-C, --workspace string path to the Constellation workspace
```
## constellation upgrade apply
Apply an upgrade to a Constellation cluster
### Synopsis
Apply an upgrade to a Constellation cluster by applying the chosen configuration.
```
constellation upgrade apply [flags]
```
### Options
```
--conformance enable conformance mode
-h, --help help for apply
--skip-helm-wait install helm charts without waiting for deployments to be ready
--skip-phases strings comma-separated list of upgrade phases to skip
one or multiple of { infrastructure | helm | image | k8s }
-y, --yes run upgrades without further confirmation
WARNING: might delete your resources in case you are using cert-manager in your cluster. Please read the docs.
WARNING: might unintentionally overwrite measurements in the running cluster.
```
### Options inherited from parent commands
```
--debug enable debug logging
--force disable version compatibility checks - might result in corrupted clusters
--tf-log string Terraform log level (default "NONE")
-C, --workspace string path to the Constellation workspace
```
## constellation recover
Recover a completely stopped Constellation cluster
### Synopsis
Recover a Constellation cluster by sending a recovery key to an instance in the boot stage.
This is only required if instances restart without other instances available for bootstrapping.
```
constellation recover [flags]
```
### Options
```
-e, --endpoint string endpoint of the instance, passed as HOST[:PORT]
-h, --help help for recover
```
### Options inherited from parent commands
```
--debug enable debug logging
--force disable version compatibility checks - might result in corrupted clusters
--tf-log string Terraform log level (default "NONE")
-C, --workspace string path to the Constellation workspace
```
## constellation terminate
Terminate a Constellation cluster
### Synopsis
Terminate a Constellation cluster.
The cluster can't be started again, and all persistent storage will be lost.
```
constellation terminate [flags]
```
### Options
```
-h, --help help for terminate
-y, --yes terminate the cluster without further confirmation
```
### Options inherited from parent commands
```
--debug enable debug logging
--force disable version compatibility checks - might result in corrupted clusters
--tf-log string Terraform log level (default "NONE")
-C, --workspace string path to the Constellation workspace
```
## constellation iam
Work with the IAM configuration on your cloud provider
### Synopsis
Work with the IAM configuration on your cloud provider.
### Options
```
-h, --help help for iam
```
### Options inherited from parent commands
```
--debug enable debug logging
--force disable version compatibility checks - might result in corrupted clusters
--tf-log string Terraform log level (default "NONE")
-C, --workspace string path to the Constellation workspace
```
## constellation iam create
Create IAM configuration on a cloud platform for your Constellation cluster
### Synopsis
Create IAM configuration on a cloud platform for your Constellation cluster.
### Options
```
-h, --help help for create
--update-config update the config file with the specific IAM information
-y, --yes create the IAM configuration without further confirmation
```
### Options inherited from parent commands
```
--debug enable debug logging
--force disable version compatibility checks - might result in corrupted clusters
--tf-log string Terraform log level (default "NONE")
-C, --workspace string path to the Constellation workspace
```
## constellation iam create aws
Create IAM configuration on AWS for your Constellation cluster
### Synopsis
Create IAM configuration on AWS for your Constellation cluster.
```
constellation iam create aws [flags]
```
### Options
```
-h, --help help for aws
--prefix string name prefix for all resources (required)
--zone string AWS availability zone the resources will be created in, e.g., us-east-2a (required)
See the Constellation docs for a list of currently supported regions.
```
### Options inherited from parent commands
```
--debug enable debug logging
--force disable version compatibility checks - might result in corrupted clusters
--tf-log string Terraform log level (default "NONE")
--update-config update the config file with the specific IAM information
-C, --workspace string path to the Constellation workspace
-y, --yes create the IAM configuration without further confirmation
```
## constellation iam create azure
Create IAM configuration on Microsoft Azure for your Constellation cluster
### Synopsis
Create IAM configuration on Microsoft Azure for your Constellation cluster.
```
constellation iam create azure [flags]
```
### Options
```
-h, --help help for azure
--region string region the resources will be created in, e.g., westus (required)
--resourceGroup string name prefix of the two resource groups your cluster / IAM resources will be created in (required)
--servicePrincipal string name of the service principal that will be created (required)
```
### Options inherited from parent commands
```
--debug enable debug logging
--force disable version compatibility checks - might result in corrupted clusters
--tf-log string Terraform log level (default "NONE")
--update-config update the config file with the specific IAM information
-C, --workspace string path to the Constellation workspace
-y, --yes create the IAM configuration without further confirmation
```
## constellation iam create gcp
Create IAM configuration on GCP for your Constellation cluster
### Synopsis
Create IAM configuration on GCP for your Constellation cluster.
```
constellation iam create gcp [flags]
```
### Options
```
-h, --help help for gcp
--projectID string ID of the GCP project the configuration will be created in (required)
Find it on the welcome screen of your project: https://console.cloud.google.com/welcome
--serviceAccountID string ID for the service account that will be created (required)
Must be 6 to 30 lowercase letters, digits, or hyphens.
--zone string GCP zone the cluster will be deployed in (required)
Find a list of available zones here: https://cloud.google.com/compute/docs/regions-zones#available
```
### Options inherited from parent commands
```
--debug enable debug logging
--force disable version compatibility checks - might result in corrupted clusters
--tf-log string Terraform log level (default "NONE")
--update-config update the config file with the specific IAM information
-C, --workspace string path to the Constellation workspace
-y, --yes create the IAM configuration without further confirmation
```
## constellation iam destroy
Destroy an IAM configuration and delete local Terraform files
### Synopsis
Destroy an IAM configuration and delete local Terraform files.
```
constellation iam destroy [flags]
```
### Options
```
-h, --help help for destroy
-y, --yes destroy the IAM configuration without asking for confirmation
```
### Options inherited from parent commands
```
--debug enable debug logging
--force disable version compatibility checks - might result in corrupted clusters
--tf-log string Terraform log level (default "NONE")
-C, --workspace string path to the Constellation workspace
```
## constellation iam upgrade
Find and apply upgrades to your IAM profile
### Synopsis
Find and apply upgrades to your IAM profile.
### Options
```
-h, --help help for upgrade
```
### Options inherited from parent commands
```
--debug enable debug logging
--force disable version compatibility checks - might result in corrupted clusters
--tf-log string Terraform log level (default "NONE")
-C, --workspace string path to the Constellation workspace
```
## constellation iam upgrade apply
Apply an upgrade to an IAM profile
### Synopsis
Apply an upgrade to an IAM profile.
```
constellation iam upgrade apply [flags]
```
### Options
```
-h, --help help for apply
-y, --yes run upgrades without further confirmation
```
### Options inherited from parent commands
```
--debug enable debug logging
--force disable version compatibility checks - might result in corrupted clusters
--tf-log string Terraform log level (default "NONE")
-C, --workspace string path to the Constellation workspace
```
## constellation version
Display version of this CLI
### Synopsis
Display version of this CLI.
```
constellation version [flags]
```
### Options
```
-h, --help help for version
```
### Options inherited from parent commands
```
--debug enable debug logging
--force disable version compatibility checks - might result in corrupted clusters
--tf-log string Terraform log level (default "NONE")
-C, --workspace string path to the Constellation workspace
```
## constellation init
Initialize the Constellation cluster
### Synopsis
Initialize the Constellation cluster.
Start your confidential Kubernetes.
```
constellation init [flags]
```
### Options
```
--conformance enable conformance mode
-h, --help help for init
--merge-kubeconfig merge Constellation kubeconfig file with default kubeconfig file in $HOME/.kube/config
--skip-helm-wait install helm charts without waiting for deployments to be ready
```
### Options inherited from parent commands
```
--debug enable debug logging
--force disable version compatibility checks - might result in corrupted clusters
--tf-log string Terraform log level (default "NONE")
-C, --workspace string path to the Constellation workspace
```

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# Migrations
This document describes breaking changes and migrations between Constellation releases.
Use [`constellation config migrate`](./cli.md#constellation-config-migrate) to automatically update an old config file to a new format.
## Migrating from Azure's service principal authentication to managed identity authentication
- The `provider.azure.appClientID` and `provider.azure.appClientSecret` fields are no longer supported and should be removed.
- To keep using an existing UAMI, add the `Owner` permission with the scope of your `resourceGroup`.
- Otherwise, simply [create new Constellation IAM credentials](../workflows/config.md#creating-an-iam-configuration) and use the created UAMI.
- To migrate the authentication for an existing cluster on Azure to an UAMI with the necessary permissions:
1. Remove the `aadClientId` and `aadClientSecret` from the azureconfig secret.
2. Set `useManagedIdentityExtension` to `true` and use the `userAssignedIdentity` from the Constellation config for the value of `userAssignedIdentityID`.
3. Restart the CSI driver, cloud controller manager, cluster autoscaler, and Constellation operator pods.
## Migrating from CLI versions before 2.10
- AWS cluster upgrades require additional IAM permissions for the newly introduced `aws-load-balancer-controller`. Please upgrade your IAM roles using `iam upgrade apply`. This will show necessary changes and apply them, if desired.
- The global `nodeGroups` field was added.
- The fields `instanceType`, `stateDiskSizeGB`, and `stateDiskType` for each cloud provider are now part of the configuration of individual node groups.
- The `constellation create` command no longer uses the flags `--control-plane-count` and `--worker-count`. Instead, the initial node count is configured per node group in the `nodeGroups` field.
## Migrating from CLI versions before 2.9
- The `provider.azure.appClientID` and `provider.azure.clientSecretValue` fields were removed to enforce migration to managed identity authentication
## Migrating from CLI versions before 2.8
- The `measurements` field for each cloud service provider was replaced with a global `attestation` field.
- The `confidentialVM`, `idKeyDigest`, and `enforceIdKeyDigest` fields for the Azure cloud service provider were removed in favor of using the global `attestation` field.
- The optional global field `attestationVariant` was replaced by the now required `attestation` field.
## Migrating from CLI versions before 2.3
- The `sshUsers` field was deprecated in v2.2 and has been removed from the configuration in v2.3.
As an alternative for SSH, check the workflow section [Connect to nodes](../workflows/troubleshooting.md#node-shell-access).
- The `image` field for each cloud service provider has been replaced with a global `image` field. Use the following mapping to migrate your configuration:
<details>
<summary>Show all</summary>
| CSP | old image | new image |
| ----- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------- |
| AWS | `ami-06b8cbf4837a0a57c` | `v2.2.2` |
| AWS | `ami-02e96dc04a9e438cd` | `v2.2.2` |
| AWS | `ami-028ead928a9034b2f` | `v2.2.2` |
| AWS | `ami-032ac10dd8d8266e3` | `v2.2.1` |
| AWS | `ami-032e0d57cc4395088` | `v2.2.1` |
| AWS | `ami-053c3e49e19b96bdd` | `v2.2.1` |
| AWS | `ami-0e27ebcefc38f648b` | `v2.2.0` |
| AWS | `ami-098cd37f66523b7c3` | `v2.2.0` |
| AWS | `ami-04a87d302e2509aad` | `v2.2.0` |
| Azure | `/subscriptions/0d202bbb-4fa7-4af8-8125-58c269a05435/resourceGroups/constellation-images/providers/Microsoft.Compute/galleries/Constellation/images/constellation/versions/2.2.2` | `v2.2.2` |
| Azure | `/subscriptions/0d202bbb-4fa7-4af8-8125-58c269a05435/resourceGroups/constellation-images/providers/Microsoft.Compute/galleries/Constellation_CVM/images/constellation/versions/2.2.2` | `v2.2.2` |
| Azure | `/subscriptions/0d202bbb-4fa7-4af8-8125-58c269a05435/resourceGroups/constellation-images/providers/Microsoft.Compute/galleries/Constellation/images/constellation/versions/2.2.1` | `v2.2.1` |
| Azure | `/subscriptions/0d202bbb-4fa7-4af8-8125-58c269a05435/resourceGroups/constellation-images/providers/Microsoft.Compute/galleries/Constellation_CVM/images/constellation/versions/2.2.1` | `v2.2.1` |
| Azure | `/subscriptions/0d202bbb-4fa7-4af8-8125-58c269a05435/resourceGroups/constellation-images/providers/Microsoft.Compute/galleries/Constellation/images/constellation/versions/2.2.0` | `v2.2.0` |
| Azure | `/subscriptions/0d202bbb-4fa7-4af8-8125-58c269a05435/resourceGroups/constellation-images/providers/Microsoft.Compute/galleries/Constellation_CVM/images/constellation/versions/2.2.0` | `v2.2.0` |
| Azure | `/subscriptions/0d202bbb-4fa7-4af8-8125-58c269a05435/resourceGroups/constellation-images/providers/Microsoft.Compute/galleries/Constellation/images/constellation/versions/2.1.0` | `v2.1.0` |
| Azure | `/subscriptions/0d202bbb-4fa7-4af8-8125-58c269a05435/resourceGroups/constellation-images/providers/Microsoft.Compute/galleries/Constellation_CVM/images/constellation/versions/2.1.0` | `v2.1.0` |
| Azure | `/subscriptions/0d202bbb-4fa7-4af8-8125-58c269a05435/resourceGroups/constellation-images/providers/Microsoft.Compute/galleries/Constellation/images/constellation/versions/2.0.0` | `v2.0.0` |
| Azure | `/subscriptions/0d202bbb-4fa7-4af8-8125-58c269a05435/resourceGroups/constellation-images/providers/Microsoft.Compute/galleries/Constellation_CVM/images/constellation/versions/2.0.0` | `v2.0.0` |
| GCP | `projects/constellation-images/global/images/constellation-v2-2-2` | `v2.2.2` |
| GCP | `projects/constellation-images/global/images/constellation-v2-2-1` | `v2.2.1` |
| GCP | `projects/constellation-images/global/images/constellation-v2-2-0` | `v2.2.0` |
| GCP | `projects/constellation-images/global/images/constellation-v2-1-0` | `v2.1.0` |
| GCP | `projects/constellation-images/global/images/constellation-v2-0-0` | `v2.0.0` |
</details>
- The `enforcedMeasurements` field has been removed and merged with the `measurements` field.
- To migrate your config containing a new image (`v2.3` or greater), remove the old `measurements` and `enforcedMeasurements` entries from your config and run `constellation fetch-measurements`
- To migrate your config containing an image older than `v2.3`, remove the `enforcedMeasurements` entry and replace the entries in `measurements` as shown in the example below:
```diff
measurements:
- 0: DzXCFGCNk8em5ornNZtKi+Wg6Z7qkQfs5CfE3qTkOc8=
+ 0:
+ expected: DzXCFGCNk8em5ornNZtKi+Wg6Z7qkQfs5CfE3qTkOc8=
+ warnOnly: true
- 8: AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA=
+ 8:
+ expected: AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA=
+ warnOnly: false
-enforcedMeasurements:
- - 8
```

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# Supply chain levels for software artifacts (SLSA) adoption
[Supply chain Levels for Software Artifacts, or SLSA (salsa)](https://slsa.dev/) is a framework for improving and grading a project's build system and engineering processes. SLSA focuses on security improvements for source code storage as well as build system definition, execution, and observation. SLSA is structured in [four levels](https://slsa.dev/spec/v0.1/levels). This page describes the adoption of SLSA for Constellation.
:::info
SLSA is still in alpha status. The presented levels and their requirements might change in the future. We will adopt any changes into our engineering processes, as they get defined.
:::
## Level 1 - Adopted
**[Build - Scripted](https://slsa.dev/spec/v0.1/requirements#scripted-build)**
All build steps are automated via [Bazel](https://github.com/edgelesssys/constellation/tree/main/bazel/ci) and [GitHub Actions](https://github.com/edgelesssys/constellation/tree/main/.github).
**[Provenance - Available](https://slsa.dev/spec/v0.1/requirements#available)**
Provenance for the CLI is generated using the [slsa-github-generator](https://github.com/slsa-framework/slsa-github-generator).
## Level 2 - Adopted
**[Source - Version Controlled](https://slsa.dev/spec/v0.1/requirements#version-controlled)**
Constellation is hosted on GitHub using git.
**[Build - Build Service](https://slsa.dev/spec/v0.1/requirements#build-service)**
All builds are carried out by [GitHub Actions](https://github.com/edgelesssys/constellation/tree/main/.github).
**[Provenance - Authenticated](https://slsa.dev/spec/v0.1/requirements#authenticated)**
Provenance for the CLI is signed using the [slsa-github-generator](https://github.com/slsa-framework/slsa-github-generator). Learn [how to verify the CLI](../workflows/verify-cli.md) using the signed provenance, before using it for the first time.
**[Provenance - Service Generated](https://slsa.dev/spec/v0.1/requirements#service-generated)**
Provenance for the CLI is generated using the [slsa-github-generator](https://github.com/slsa-framework/slsa-github-generator) in GitHub Actions.
## Level 3 - Adopted
**[Source - Verified History](https://slsa.dev/spec/v0.1/requirements#verified-history)**
The [Edgeless Systems](https://github.com/edgelesssys) GitHub organization [requires two-factor authentication](https://docs.github.com/en/organizations/keeping-your-organization-secure/managing-two-factor-authentication-for-your-organization/requiring-two-factor-authentication-in-your-organization) for all members.
**[Source - Retained Indefinitely](https://slsa.dev/spec/v0.1/requirements#retained-indefinitely)**
Since we use GitHub to host the repository, an external person can't modify or delete the history. Before a pull request can be merged, an explicit approval from an [Edgeless Systems](https://github.com/edgelesssys) team member is required.
The same holds true for changes proposed by team members. Each change to `main` needs to be proposed via a pull request and requires at least one approval.
The [Edgeless Systems](https://github.com/edgelesssys) GitHub organization admins control these settings and are able to make changes to the repository's history should legal requirements necessitate it. These changes require two-party approval following the obliterate policy.
**[Build - Build as Code](https://slsa.dev/spec/v0.1/requirements#build-as-code)**
All build files for Constellation are stored in [the same repository](https://github.com/edgelesssys/constellation/tree/main/.github).
**[Build - Ephemeral Environment](https://slsa.dev/spec/v0.1/requirements#ephemeral-environment)**
All GitHub Action workflows are executed on [GitHub-hosted runners](https://docs.github.com/en/actions/using-github-hosted-runners/about-github-hosted-runners). These runners are only available during workflow.
We currently don't use [self-hosted runners](https://docs.github.com/en/actions/hosting-your-own-runners/about-self-hosted-runners).
**[Build - Isolated](https://slsa.dev/spec/v0.1/requirements#isolated)**
As outlined in the previous section, we use GitHub-hosted runners, which provide a new, isolated and ephemeral environment for each build.
Additionally, the [SLSA GitHub generator](https://github.com/slsa-framework/slsa-github-generator#generation-of-provenance) itself is run in an isolated workflow with the artifact hash as defined inputs.
**[Provenance - Non-falsifiable](https://slsa.dev/spec/v0.1/requirements#non-falsifiable)**
As outlined by [SLSA GitHub generator](https://github.com/slsa-framework/slsa-github-generator) it already fulfills the non-falsifiable requirements for SLSA Level 3. The generated provenance is signed using [sigstore](https://sigstore.dev/) with an OIDC based proof of identity.
## Level 4 - In Progress
We strive to adopt certain aspect of SLSA Level 4 that support our engineering process. At the same time, SLSA is still in alpha status and the biggest changes to SLSA are expected to be around Level 4.

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# Terraform usage
[Terraform](https://www.terraform.io/) is an Infrastructure as Code (IaC) framework to manage cloud resources. This page explains how Constellation uses it internally and how advanced users may manually use it to have more control over the resource creation.
:::info
Information on this page is intended for users who are familiar with Terraform.
It's not required for common usage of Constellation.
See the [Terraform documentation](https://developer.hashicorp.com/terraform/docs) if you want to learn more about it.
:::
## Terraform state files
Constellation keeps Terraform state files in subdirectories of the workspace together with the corresponding Terraform configuration files and metadata.
The subdirectories are created on the first Constellation CLI action that uses Terraform internally.
Currently, these subdirectories are:
* `constellation-terraform` - Terraform state files for the resources of the Constellation cluster
* `constellation-iam-terraform` - Terraform state files for IAM configuration
As with all commands, commands that work with these files (e.g., `apply`, `terminate`, `iam`) have to be executed from the root of the cluster's [workspace directory](../architecture/orchestration.md#workspaces). You usually don't need and shouldn't manipulate or delete the subdirectories manually.
## Interacting with Terraform manually
Manual interaction with Terraform state created by Constellation (i.e., via the Terraform CLI) should only be performed by experienced users. It may lead to unrecoverable loss of cloud resources. For the majority of users and use cases, the interaction done by the [Constellation CLI](cli.md) is sufficient.
## Terraform debugging
To debug Terraform issues, the Constellation CLI offers the `tf-log` flag. You can set it to any of [Terraform's log levels](https://developer.hashicorp.com/terraform/internals/debugging):
* `JSON` (JSON-formatted logs at `TRACE` level)
* `TRACE`
* `DEBUG`
* `INFO`
* `WARN`
* `ERROR`
The log output is written to the `terraform.log` file in the workspace directory. The output is appended to the file on each run.

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# Install cert-manager
:::caution
If you want to use cert-manager with Constellation, pay attention to the following to avoid potential pitfalls.
:::
Constellation ships with cert-manager preinstalled.
The default installation is part of the `kube-system` namespace, as all other Constellation-managed microservices.
You are free to install more instances of cert-manager into other namespaces.
However, be aware that any new installation needs to use the same version as the one installed with Constellation or rely on the same CRD versions.
Also remember to set the `installCRDs` value to `false` when installing new cert-manager instances.
It will create problems if you have two installations of cert-manager depending on different versions of the installed CRDs.
CRDs are cluster-wide resources and cert-manager depends on specific versions of those CRDs for each release.

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# Configure your cluster
:::info
This recording presents the essence of this page. It's recommended to read it in full for the motivation and all details.
:::
<asciinemaWidget src="/constellation/assets/configure-cluster.cast" rows="20" cols="112" idleTimeLimit="3" preload="true" theme="edgeless" />
---
Before you can create your cluster, you need to configure the identity and access management (IAM) for your cloud service provider (CSP) and choose machine types for the nodes.
## Creating the configuration file
You can generate a configuration file for your CSP by using the following CLI command:
<tabs groupId="csp">
<tabItem value="azure" label="Azure">
```bash
constellation config generate azure
```
</tabItem>
<tabItem value="gcp" label="GCP">
```bash
constellation config generate gcp
```
</tabItem>
<tabItem value="aws" label="AWS">
```bash
constellation config generate aws
```
</tabItem>
</tabs>
This creates the file `constellation-conf.yaml` in the current directory.
## Choosing a VM type
Constellation supports the following VM types:
<tabs groupId="csp">
<tabItem value="azure" label="Azure">
By default, Constellation uses `Standard_DC4as_v5` CVMs (4 vCPUs, 16 GB RAM) to create your cluster. Optionally, you can switch to a different VM type by modifying `instanceType` in the configuration file. For CVMs, any VM type with a minimum of 4 vCPUs from the [DCasv5 & DCadsv5](https://docs.microsoft.com/en-us/azure/virtual-machines/dcasv5-dcadsv5-series) or [ECasv5 & ECadsv5](https://docs.microsoft.com/en-us/azure/virtual-machines/ecasv5-ecadsv5-series) families is supported.
You can also run `constellation config instance-types` to get the list of all supported options.
</tabItem>
<tabItem value="gcp" label="GCP">
By default, Constellation uses `n2d-standard-4` VMs (4 vCPUs, 16 GB RAM) to create your cluster. Optionally, you can switch to a different VM type by modifying `instanceType` in the configuration file. Supported are all machines with a minimum of 4 vCPUs from the [C2D](https://cloud.google.com/compute/docs/compute-optimized-machines#c2d_machine_types) or [N2D](https://cloud.google.com/compute/docs/general-purpose-machines#n2d_machines) family. You can run `constellation config instance-types` to get the list of all supported options.
</tabItem>
<tabItem value="aws" label="AWS">
By default, Constellation uses `m6a.xlarge` VMs (4 vCPUs, 16 GB RAM) to create your cluster.
Optionally, you can switch to a different VM type by modifying `instanceType` in the configuration file.
If you are using the default attestation variant `awsSEVSNP`, you can use the instance types described in [AWS's AMD SEV-SNP docs](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/snp-requirements.html).
Please mind the region restrictions mentioned in the [Getting started](../getting-started/first-steps.md#create-a-cluster) section.
If you are using the attestation variant `awsNitroTPM`, you can choose any of the [nitroTPM-enabled instance types](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/enable-nitrotpm-prerequisites.html).
The Constellation CLI can also print the supported instance types with: `constellation config instance-types`.
</tabItem>
</tabs>
Fill the desired VM type into the `instanceType` fields in the `constellation-conf.yml` file.
## Creating additional node groups
By default, Constellation creates the node groups `control_plane_default` and `worker_default` for control-plane nodes and workers, respectively.
If you require additional control-plane or worker groups with different instance types, zone placements, or disk sizes, you can add additional node groups to the `constellation-conf.yml` file.
Each node group can be scaled individually.
Consider the following example for AWS:
```yaml
nodeGroups:
control_plane_default:
role: control-plane
instanceType: c6a.xlarge
stateDiskSizeGB: 30
stateDiskType: gp3
zone: eu-west-1c
initialCount: 3
worker_default:
role: worker
instanceType: c6a.xlarge
stateDiskSizeGB: 30
stateDiskType: gp3
zone: eu-west-1c
initialCount: 2
high_cpu:
role: worker
instanceType: c6a.24xlarge
stateDiskSizeGB: 128
stateDiskType: gp3
zone: eu-west-1c
initialCount: 1
```
This configuration creates an additional node group `high_cpu` with a larger instance type and disk.
You can use the field `zone` to specify what availability zone nodes of the group are placed in.
On Azure, this field is empty by default and nodes are automatically spread across availability zones.
Consult the documentation of your cloud provider for more information:
* [AWS](https://aws.amazon.com/about-aws/global-infrastructure/regions_az/)
* [Azure](https://azure.microsoft.com/en-us/explore/global-infrastructure/availability-zones)
* [GCP](https://cloud.google.com/compute/docs/regions-zones)
## Choosing a Kubernetes version
To learn which Kubernetes versions can be installed with your current CLI, you can run `constellation config kubernetes-versions`.
See also Constellation's [Kubernetes support policy](../architecture/versions.md#kubernetes-support-policy).
## Creating an IAM configuration
You can create an IAM configuration for your cluster automatically using the `constellation iam create` command.
If you already have a Constellation configuration file, you can add the `--update-config` flag to the command. This writes the needed IAM fields into your configuration. Furthermore, the flag updates the zone/region of the configuration if it hasn't been set yet.
<tabs groupId="csp">
<tabItem value="azure" label="Azure">
You must be authenticated with the [Azure CLI](https://learn.microsoft.com/en-us/cli/azure/install-azure-cli) in the shell session with a user that has the [required permissions for IAM creation](../getting-started/install.md#set-up-cloud-credentials).
```bash
constellation iam create azure --region=westus --resourceGroup=constellTest --servicePrincipal=spTest
```
This command creates IAM configuration on the Azure region `westus` creating a new resource group `constellTest` and a new service principal `spTest`.
CVMs are available in several Azure regions. Constellation OS images are currently replicated to the following:
* `germanywestcentral`
* `westus`
* `eastus`
* `northeurope`
* `westeurope`
* `southeastasia`
If you require the OS image to be available in another region, [let us know](https://github.com/edgelesssys/constellation/issues/new?assignees=&labels=&template=feature_request.md&title=Support+new+Azure+image+region:+xx-xxxx-x).
You can find a list of all [regions in Azure's documentation](https://azure.microsoft.com/en-us/global-infrastructure/services/?products=virtual-machines&regions=all).
Paste the output into the corresponding fields of the `constellation-conf.yaml` file.
</tabItem>
<tabItem value="gcp" label="GCP">
You must be authenticated with the [GCP CLI](https://cloud.google.com/sdk/gcloud) in the shell session with a user that has the [required permissions for IAM creation](../getting-started/install.md#set-up-cloud-credentials).
```bash
constellation iam create gcp --projectID=yourproject-12345 --zone=europe-west2-a --serviceAccountID=constell-test
```
This command creates IAM configuration in the GCP project `yourproject-12345` on the GCP zone `europe-west2-a` creating a new service account `constell-test`.
Note that only regions offering CVMs of the `C2D` or `N2D` series are supported. You can find a [list of all regions in Google's documentation](https://cloud.google.com/compute/docs/regions-zones#available), which you can filter by machine type `N2D`.
Paste the output into the corresponding fields of the `constellation-conf.yaml` file.
</tabItem>
<tabItem value="aws" label="AWS">
You must be authenticated with the [AWS CLI](https://aws.amazon.com/en/cli/) in the shell session with a user that has the [required permissions for IAM creation](../getting-started/install.md#set-up-cloud-credentials).
```bash
constellation iam create aws --zone=us-east-2a --prefix=constellTest
```
This command creates IAM configuration for the AWS zone `us-east-2a` using the prefix `constellTest` for all named resources being created.
Constellation OS images are currently replicated to the following regions:
* `eu-central-1`
* `eu-west-1`
* `eu-west-3`
* `us-east-2`
* `ap-south-1`
If you require the OS image to be available in another region, [let us know](https://github.com/edgelesssys/constellation/issues/new?assignees=&labels=&template=feature_request.md&title=Support+new+AWS+image+region:+xx-xxxx-x).
You can find a list of all [regions in AWS's documentation](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/using-regions-availability-zones.html#concepts-available-regions).
Paste the output into the corresponding fields of the `constellation-conf.yaml` file.
</tabItem>
</tabs>
<details>
<summary>Alternatively, you can manually create the IAM configuration on your CSP.</summary>
The following describes the configuration fields and how you obtain the required information or create the required resources.
<tabs groupId="csp">
<tabItem value="azure" label="Azure">
* **subscription**: The UUID of your Azure subscription, e.g., `8b8bd01f-efd9-4113-9bd1-c82137c32da7`.
You can view your subscription UUID via `az account show` and read the `id` field. For more information refer to [Azure's documentation](https://docs.microsoft.com/en-us/azure/azure-portal/get-subscription-tenant-id#find-your-azure-subscription).
* **tenant**: The UUID of your Azure tenant, e.g., `3400e5a2-8fe2-492a-886c-38cb66170f25`.
You can view your tenant UUID via `az account show` and read the `tenant` field. For more information refer to [Azure's documentation](https://docs.microsoft.com/en-us/azure/azure-portal/get-subscription-tenant-id#find-your-azure-ad-tenant).
* **location**: The Azure datacenter location you want to deploy your cluster in, e.g., `westus`.
CVMs are available in several Azure regions. Constellation OS images are currently replicated to the following:
* `germanywestcentral`
* `westus`
* `eastus`
* `northeurope`
* `westeurope`
* `southeastasia`
If you require the OS image to be available in another region, [let us know](https://github.com/edgelesssys/constellation/issues/new?assignees=&labels=&template=feature_request.md&title=Support+new+Azure+image+region:+xx-xxxx-x).
You can find a list of all [regions in Azure's documentation](https://azure.microsoft.com/en-us/global-infrastructure/services/?products=virtual-machines&regions=all).
* **resourceGroup**: [Create a new resource group in Azure](https://learn.microsoft.com/azure/azure-resource-manager/management/manage-resource-groups-portal) for your Constellation cluster. Set this configuration field to the name of the created resource group.
* **userAssignedIdentity**: [Create a new managed identity in Azure](https://learn.microsoft.com/azure/active-directory/managed-identities-azure-resources/how-manage-user-assigned-managed-identities). You should create the identity in a different resource group as all resources within the cluster resource group will be deleted on cluster termination.
Add three role assignments to the identity: `Owner`, `Virtual Machine Contributor`, and `Application Insights Component Contributor`. The `scope` of all three should refer to the previously created cluster resource group.
Set the configuration value to the full ID of the created identity, e.g., `/subscriptions/8b8bd01f-efd9-4113-9bd1-c82137c32da7/resourcegroups/constellation-identity/providers/Microsoft.ManagedIdentity/userAssignedIdentities/constellation-identity`. You can get it by opening the `JSON View` from the `Overview` section of the identity.
The user-assigned identity is used by instances of the cluster to access other cloud resources.
For more information about managed identities refer to [Azure's documentation](https://docs.microsoft.com/en-us/azure/active-directory/managed-identities-azure-resources/how-manage-user-assigned-managed-identities).
</tabItem>
<tabItem value="gcp" label="GCP">
* **project**: The ID of your GCP project, e.g., `constellation-129857`.
You can find it on the [welcome screen of your GCP project](https://console.cloud.google.com/welcome). For more information refer to [Google's documentation](https://support.google.com/googleapi/answer/7014113).
* **region**: The GCP region you want to deploy your cluster in, e.g., `us-west1`.
You can find a [list of all regions in Google's documentation](https://cloud.google.com/compute/docs/regions-zones#available).
* **zone**: The GCP zone you want to deploy your cluster in, e.g., `us-west1-a`.
You can find a [list of all zones in Google's documentation](https://cloud.google.com/compute/docs/regions-zones#available).
* **serviceAccountKeyPath**: To configure this, you need to create a GCP [service account](https://cloud.google.com/iam/docs/service-accounts) with the following permissions:
* `Compute Instance Admin (v1) (roles/compute.instanceAdmin.v1)`
* `Compute Network Admin (roles/compute.networkAdmin)`
* `Compute Security Admin (roles/compute.securityAdmin)`
* `Compute Storage Admin (roles/compute.storageAdmin)`
* `Service Account User (roles/iam.serviceAccountUser)`
Afterward, create and download a new JSON key for this service account. Place the downloaded file in your Constellation workspace, and set the config parameter to the filename, e.g., `constellation-129857-15343dba46cb.json`.
</tabItem>
<tabItem value="aws" label="AWS">
* **region**: The name of your chosen AWS data center region, e.g., `us-east-2`.
Constellation OS images are currently replicated to the following regions:
* `eu-central-1`
* `eu-west-1`
* `eu-west-3`
* `us-east-2`
* `ap-south-1`
If you require the OS image to be available in another region, [let us know](https://github.com/edgelesssys/constellation/issues/new?assignees=&labels=&template=feature_request.md&title=Support+new+AWS+image+region:+xx-xxxx-x).
You can find a list of all [regions in AWS's documentation](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/using-regions-availability-zones.html#concepts-available-regions).
* **zone**: The name of your chosen AWS data center availability zone, e.g., `us-east-2a`.
Learn more about [availability zones in AWS's documentation](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/using-regions-availability-zones.html#concepts-availability-zones).
* **iamProfileControlPlane**: The name of an IAM instance profile attached to all control-plane nodes.
You can create the resource with [Terraform](https://www.terraform.io/). For that, use the [provided Terraform script](https://github.com/edgelesssys/constellation/tree/release/v2.2/hack/terraform/aws/iam) to generate the necessary profile. The profile name will be provided as Terraform output value: `control_plane_instance_profile_name`.
Alternatively, you can create the AWS profile with a tool of your choice. Use the JSON policy in [main.tf](https://github.com/edgelesssys/constellation/tree/release/v2.2/hack/terraform/aws/iam/main.tf) in the resource `aws_iam_policy.control_plane_policy`.
* **iamProfileWorkerNodes**: The name of an IAM instance profile attached to all worker nodes.
You can create the resource with [Terraform](https://www.terraform.io/). For that, use the [provided Terraform script](https://github.com/edgelesssys/constellation/tree/release/v2.2/hack/terraform/aws/iam) to generate the necessary profile. The profile name will be provided as Terraform output value: `worker_nodes_instance_profile_name`.
Alternatively, you can create the AWS profile with a tool of your choice. Use the JSON policy in [main.tf](https://github.com/edgelesssys/constellation/tree/release/v2.2/hack/terraform/aws/iam/main.tf) in the resource `aws_iam_policy.worker_node_policy`.
</tabItem>
</tabs>
</details>
Now that you've configured your CSP, you can [create your cluster](./create.md).
## Deleting an IAM configuration
You can keep a created IAM configuration and reuse it for new clusters. Alternatively, you can also delete it if you don't want to use it anymore.
Delete the IAM configuration by executing the following command in the same directory where you executed `constellation iam create` (the directory that contains [`constellation-iam-terraform`](../reference/terraform.md) as a subdirectory):
```bash
constellation iam destroy
```
:::caution
For Azure, deleting the IAM configuration by executing `constellation iam destroy` will delete the whole resource group created by `constellation iam create`.
This also includes any additional resources in the resource group that weren't created by Constellation.
:::

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@ -0,0 +1,93 @@
# Create your cluster
:::info
This recording presents the essence of this page. It's recommended to read it in full for the motivation and all details.
:::
<asciinemaWidget src="/constellation/assets/create-cluster.cast" rows="20" cols="112" idleTimeLimit="3" preload="true" theme="edgeless" />
---
Creating your cluster happens through multiple phases.
The most significant ones are:
1. Creating the necessary resources in your cloud environment
2. Bootstrapping the Constellation cluster and setting up a connection
3. Installing the necessary Kubernetes components
`constellation apply` handles all this in a single command.
You can use the `--skip-phases` flag to skip specific phases of the process.
For example, if you created the infrastructure manually, you can skip the cloud resource creation phase.
See the [architecture](../architecture/orchestration.md) section for details on the inner workings of this process.
:::tip
If you don't have a cloud subscription, you can also set up a [local Constellation cluster using virtualization](../getting-started/first-steps-local.md) for testing.
:::
Before you create the cluster, make sure to have a [valid configuration file](./config.md).
<tabs groupId="usage">
<tabItem value="cli" label="CLI">
```bash
constellation apply
```
`apply` stores the state of your cluster's cloud resources in a [`constellation-terraform`](../architecture/orchestration.md#cluster-creation-process) directory in your workspace.
</tabItem>
<tabItem value="self-managed" label="Self-managed">
Self-managed infrastructure allows for more flexibility in the setup, by separating the infrastructure setup from the Constellation cluster management.
This provides flexibility in DevOps and can meet potential regulatory requirements.
It's recommended to use Terraform for infrastructure management, but you can use any tool of your choice.
:::info
When using Terraform, you can use the [Constellation Terraform provider](./terraform-provider.md) to manage the entire Constellation cluster lifecycle.
:::
You can refer to the Terraform files for the selected CSP from the [Constellation GitHub repository](https://github.com/edgelesssys/constellation/tree/main/terraform/infrastructure) for a minimum Constellation cluster configuration. From this base, you can now add, edit, or substitute resources per your own requirements with the infrastructure
management tooling of your choice. You need to keep the essential functionality of the base configuration in order for your cluster to function correctly.
<!-- vale off -->
:::info
On Azure, if the enforcement policy is set to `MAAFallback` in `constellation-config.yaml`, a manual update to the MAA provider's policy is necessary.
You can apply the update with the following command after creating the infrastructure, with `<URL>` being the URL of the MAA provider (i.e., `$(terraform output attestation_url | jq -r)`, when using the minimal Terraform configuration).
```bash
constellation maa-patch <URL>
```
:::
<!-- vale on -->
Make sure all necessary resources are created, e.g., through checking your CSP's portal and retrieve the necessary values, aligned with the outputs (specified in `outputs.tf`) of the base configuration.
Fill these outputs into the corresponding fields of the `Infrastructure` block inside the `constellation-state.yaml` file. For example, fill the IP or DNS name your cluster can be reached at into the `.Infrastructure.ClusterEndpoint` field.
With the required cloud resources set up, continue with initializing your cluster.
```bash
constellation apply --skip-phases=infrastructure
```
</tabItem>
</tabs>
Finally, configure `kubectl` for your cluster:
```bash
export KUBECONFIG="$PWD/constellation-admin.conf"
```
🏁 That's it. You've successfully created a Constellation cluster.
### Troubleshooting
In case `apply` fails, the CLI collects logs from the bootstrapping instance and stores them inside `constellation-cluster.log`.

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# Expose a service
Constellation integrates the native load balancers of each CSP. Therefore, to expose a service simply [create a service of type `LoadBalancer`](https://kubernetes.io/docs/concepts/services-networking/service/#loadbalancer).
## Internet-facing LB service on AWS
To expose your application service externally you might want to use a Kubernetes Service of type `LoadBalancer`. On AWS, load-balancing is achieved through the [AWS Load Balancing Controller](https://kubernetes-sigs.github.io/aws-load-balancer-controller) as in the managed EKS.
Since recent versions, the controller deploy an internal LB by default requiring to set an annotation `service.beta.kubernetes.io/aws-load-balancer-scheme: internet-facing` to have an internet-facing LB. For more details, see the [official docs](https://kubernetes-sigs.github.io/aws-load-balancer-controller/v2.2/guide/service/nlb/).
For general information on LB with AWS see [Network load balancing on Amazon EKS](https://docs.aws.amazon.com/eks/latest/userguide/network-load-balancing.html).
:::caution
Before terminating the cluster, all LB backed services should be deleted, so that the controller can cleanup the related resources.
:::

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# Recover your cluster
Recovery of a Constellation cluster means getting it back into a healthy state after too many concurrent node failures in the control plane.
Reasons for an unhealthy cluster can vary from a power outage, or planned reboot, to migration of nodes and regions.
Recovery events are rare, because Constellation is built for high availability and automatically and securely replaces failed nodes. When a node is replaced, Constellation's control plane first verifies the new node before it sends the node the cryptographic keys required to decrypt its [state disk](../architecture/images.md#state-disk).
Constellation provides a recovery mechanism for cases where the control plane has failed and is unable to replace nodes.
The `constellation recover` command securely connects to all nodes in need of recovery using [attested TLS](../architecture/attestation.md#attested-tls-atls) and provides them with the keys to decrypt their state disks and continue booting.
## Identify unhealthy clusters
The first step to recovery is identifying when a cluster becomes unhealthy.
Usually, this can be first observed when the Kubernetes API server becomes unresponsive.
You can check the health status of the nodes via the cloud service provider (CSP).
Constellation provides logging information on the boot process and status via [cloud logging](troubleshooting.md#cloud-logging).
In the following, you'll find detailed descriptions for identifying clusters stuck in recovery for each CSP.
<tabs groupId="csp">
<tabItem value="azure" label="Azure">
In the Azure portal, find the cluster's resource group.
Inside the resource group, open the control plane *Virtual machine scale set* `constellation-scale-set-controlplanes-<suffix>`.
On the left, go to **Settings** > **Instances** and check that enough members are in a *Running* state.
Second, check the boot logs of these *Instances*.
In the scale set's *Instances* view, open the details page of the desired instance.
On the left, go to **Support + troubleshooting** > **Serial console**.
In the serial console output, search for `Waiting for decryption key`.
Similar output to the following means your node was restarted and needs to decrypt the [state disk](../architecture/images.md#state-disk):
```json
{"level":"INFO","ts":"2022-09-08T09:56:41Z","caller":"cmd/main.go:55","msg":"Starting disk-mapper","version":"2.0.0","cloudProvider":"azure"}
{"level":"INFO","ts":"2022-09-08T09:56:43Z","logger":"setupManager","caller":"setup/setup.go:72","msg":"Preparing existing state disk"}
{"level":"INFO","ts":"2022-09-08T09:56:43Z","logger":"recoveryServer","caller":"recoveryserver/server.go:59","msg":"Starting RecoveryServer"}
{"level":"INFO","ts":"2022-09-08T09:56:43Z","logger":"rejoinClient","caller":"rejoinclient/client.go:65","msg":"Starting RejoinClient"}
```
The node will then try to connect to the [*JoinService*](../architecture/microservices.md#joinservice) and obtain the decryption key.
If this fails due to an unhealthy control plane, you will see log messages similar to the following:
```json
{"level":"INFO","ts":"2022-09-08T09:56:43Z","logger":"rejoinClient","caller":"rejoinclient/client.go:77","msg":"Received list with JoinService endpoints","endpoints":["10.9.0.5:30090","10.9.0.6:30090"]}
{"level":"INFO","ts":"2022-09-08T09:56:43Z","logger":"rejoinClient","caller":"rejoinclient/client.go:96","msg":"Requesting rejoin ticket","endpoint":"10.9.0.5:30090"}
{"level":"WARN","ts":"2022-09-08T09:57:03Z","logger":"rejoinClient","caller":"rejoinclient/client.go:101","msg":"Failed to rejoin on endpoint","error":"rpc error: code = Unavailable desc = connection error: desc = \"transport: Error while dialing dial tcp 10.9.0.5:30090: i/o timeout\"","endpoint":"10.9.0.5:30090"}
{"level":"INFO","ts":"2022-09-08T09:57:03Z","logger":"rejoinClient","caller":"rejoinclient/client.go:96","msg":"Requesting rejoin ticket","endpoint":"10.9.0.6:30090"}
{"level":"WARN","ts":"2022-09-08T09:57:23Z","logger":"rejoinClient","caller":"rejoinclient/client.go:101","msg":"Failed to rejoin on endpoint","error":"rpc error: code = Unavailable desc = connection error: desc = \"transport: Error while dialing dial tcp 10.9.0.6:30090: i/o timeout\"","endpoint":"10.9.0.6:30090"}
{"level":"ERROR","ts":"2022-09-08T09:57:23Z","logger":"rejoinClient","caller":"rejoinclient/client.go:110","msg":"Failed to rejoin on all endpoints"}
```
This means that you have to recover the node manually.
</tabItem>
<tabItem value="gcp" label="GCP">
First, check that the control plane *Instance Group* has enough members in a *Ready* state.
In the GCP Console, go to **Instance Groups** and check the group for the cluster's control plane `<cluster-name>-control-plane-<suffix>`.
Second, check the status of the *VM Instances*.
Go to **VM Instances** and open the details of the desired instance.
Check the serial console output of that instance by opening the **Logs** > **Serial port 1 (console)** page:
![GCP portal serial console link](../_media/recovery-gcp-serial-console-link.png)
In the serial console output, search for `Waiting for decryption key`.
Similar output to the following means your node was restarted and needs to decrypt the [state disk](../architecture/images.md#state-disk):
```json
{"level":"INFO","ts":"2022-09-08T10:21:53Z","caller":"cmd/main.go:55","msg":"Starting disk-mapper","version":"2.0.0","cloudProvider":"gcp"}
{"level":"INFO","ts":"2022-09-08T10:21:53Z","logger":"setupManager","caller":"setup/setup.go:72","msg":"Preparing existing state disk"}
{"level":"INFO","ts":"2022-09-08T10:21:53Z","logger":"rejoinClient","caller":"rejoinclient/client.go:65","msg":"Starting RejoinClient"}
{"level":"INFO","ts":"2022-09-08T10:21:53Z","logger":"recoveryServer","caller":"recoveryserver/server.go:59","msg":"Starting RecoveryServer"}
```
The node will then try to connect to the [*JoinService*](../architecture/microservices.md#joinservice) and obtain the decryption key.
If this fails due to an unhealthy control plane, you will see log messages similar to the following:
```json
{"level":"INFO","ts":"2022-09-08T10:21:53Z","logger":"rejoinClient","caller":"rejoinclient/client.go:77","msg":"Received list with JoinService endpoints","endpoints":["192.168.178.4:30090","192.168.178.2:30090"]}
{"level":"INFO","ts":"2022-09-08T10:21:53Z","logger":"rejoinClient","caller":"rejoinclient/client.go:96","msg":"Requesting rejoin ticket","endpoint":"192.168.178.4:30090"}
{"level":"WARN","ts":"2022-09-08T10:21:53Z","logger":"rejoinClient","caller":"rejoinclient/client.go:101","msg":"Failed to rejoin on endpoint","error":"rpc error: code = Unavailable desc = connection error: desc = \"transport: Error while dialing dial tcp 192.168.178.4:30090: connect: connection refused\"","endpoint":"192.168.178.4:30090"}
{"level":"INFO","ts":"2022-09-08T10:21:53Z","logger":"rejoinClient","caller":"rejoinclient/client.go:96","msg":"Requesting rejoin ticket","endpoint":"192.168.178.2:30090"}
{"level":"WARN","ts":"2022-09-08T10:22:13Z","logger":"rejoinClient","caller":"rejoinclient/client.go:101","msg":"Failed to rejoin on endpoint","error":"rpc error: code = Unavailable desc = connection error: desc = \"transport: Error while dialing dial tcp 192.168.178.2:30090: i/o timeout\"","endpoint":"192.168.178.2:30090"}
{"level":"ERROR","ts":"2022-09-08T10:22:13Z","logger":"rejoinClient","caller":"rejoinclient/client.go:110","msg":"Failed to rejoin on all endpoints"}
```
This means that you have to recover the node manually.
</tabItem>
<tabItem value="aws" label="AWS">
First, open the AWS console to view all Auto Scaling Groups (ASGs) in the region of your cluster. Select the ASG of the control plane `<cluster-name>-<UID>-control-plane` and check that enough members are in a *Running* state.
Second, check the boot logs of these *Instances*. In the ASG's *Instance management* view, select each desired instance. In the upper right corner, select **Action > Monitor and troubleshoot > Get system log**.
In the serial console output, search for `Waiting for decryption key`.
Similar output to the following means your node was restarted and needs to decrypt the [state disk](../architecture/images.md#state-disk):
```json
{"level":"INFO","ts":"2022-09-08T10:21:53Z","caller":"cmd/main.go:55","msg":"Starting disk-mapper","version":"2.0.0","cloudProvider":"gcp"}
{"level":"INFO","ts":"2022-09-08T10:21:53Z","logger":"setupManager","caller":"setup/setup.go:72","msg":"Preparing existing state disk"}
{"level":"INFO","ts":"2022-09-08T10:21:53Z","logger":"rejoinClient","caller":"rejoinclient/client.go:65","msg":"Starting RejoinClient"}
{"level":"INFO","ts":"2022-09-08T10:21:53Z","logger":"recoveryServer","caller":"recoveryserver/server.go:59","msg":"Starting RecoveryServer"}
```
The node will then try to connect to the [*JoinService*](../architecture/microservices.md#joinservice) and obtain the decryption key.
If this fails due to an unhealthy control plane, you will see log messages similar to the following:
```json
{"level":"INFO","ts":"2022-09-08T10:21:53Z","logger":"rejoinClient","caller":"rejoinclient/client.go:77","msg":"Received list with JoinService endpoints","endpoints":["192.168.178.4:30090","192.168.178.2:30090"]}
{"level":"INFO","ts":"2022-09-08T10:21:53Z","logger":"rejoinClient","caller":"rejoinclient/client.go:96","msg":"Requesting rejoin ticket","endpoint":"192.168.178.4:30090"}
{"level":"WARN","ts":"2022-09-08T10:21:53Z","logger":"rejoinClient","caller":"rejoinclient/client.go:101","msg":"Failed to rejoin on endpoint","error":"rpc error: code = Unavailable desc = connection error: desc = \"transport: Error while dialing dial tcp 192.168.178.4:30090: connect: connection refused\"","endpoint":"192.168.178.4:30090"}
{"level":"INFO","ts":"2022-09-08T10:21:53Z","logger":"rejoinClient","caller":"rejoinclient/client.go:96","msg":"Requesting rejoin ticket","endpoint":"192.168.178.2:30090"}
{"level":"WARN","ts":"2022-09-08T10:22:13Z","logger":"rejoinClient","caller":"rejoinclient/client.go:101","msg":"Failed to rejoin on endpoint","error":"rpc error: code = Unavailable desc = connection error: desc = \"transport: Error while dialing dial tcp 192.168.178.2:30090: i/o timeout\"","endpoint":"192.168.178.2:30090"}
{"level":"ERROR","ts":"2022-09-08T10:22:13Z","logger":"rejoinClient","caller":"rejoinclient/client.go:110","msg":"Failed to rejoin on all endpoints"}
```
This means that you have to recover the node manually.
</tabItem>
</tabs>
## Recover a cluster
Recovering a cluster requires the following parameters:
* The `constellation-state.yaml` file in your working directory or the cluster's endpoint
* The master secret of the cluster
A cluster can be recovered like this:
```bash
$ constellation recover --master-secret constellation-mastersecret.json
Pushed recovery key.
Pushed recovery key.
Pushed recovery key.
Recovered 3 control-plane nodes.
```
In the serial console output of the node you'll see a similar output to the following:
```json
{"level":"INFO","ts":"2022-09-08T10:26:59Z","logger":"recoveryServer","caller":"recoveryserver/server.go:93","msg":"Received recover call"}
{"level":"INFO","ts":"2022-09-08T10:26:59Z","logger":"recoveryServer","caller":"recoveryserver/server.go:125","msg":"Received state disk key and measurement secret, shutting down server"}
{"level":"INFO","ts":"2022-09-08T10:26:59Z","logger":"recoveryServer.gRPC","caller":"zap/server_interceptors.go:61","msg":"finished streaming call with code OK","grpc.start_time":"2022-09-08T10:26:59Z","system":"grpc","span.kind":"server","grpc.service":"recoverproto.API","grpc.method":"Recover","peer.address":"192.0.2.3:41752","grpc.code":"OK","grpc.time_ms":15.701}
{"level":"INFO","ts":"2022-09-08T10:27:13Z","logger":"rejoinClient","caller":"rejoinclient/client.go:87","msg":"RejoinClient stopped"}
```

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# Install s3proxy
Constellation includes a transparent client-side encryption proxy for [AWS S3](https://aws.amazon.com/de/s3/) and compatible stores.
s3proxy encrypts objects before sending them to S3 and automatically decrypts them on retrieval, without requiring changes to your application.
With s3proxy, you can use S3 for storage in a confidential way without having to trust the storage provider.
## Limitations
Currently, s3proxy has the following limitations:
- Only `PutObject` and `GetObject` requests are encrypted/decrypted by s3proxy.
By default, s3proxy will block requests that may expose unencrypted data to S3 (e.g. UploadPart).
The `allow-multipart` flag disables request blocking for evaluation purposes.
- Using the [Range](https://docs.aws.amazon.com/AmazonS3/latest/API/API_GetObject.html#API_GetObject_RequestSyntax) header on `GetObject` is currently not supported and will result in an error.
These limitations will be removed with future iterations of s3proxy.
If you want to use s3proxy but these limitations stop you from doing so, consider [opening an issue](https://github.com/edgelesssys/constellation/issues/new?assignees=&labels=&projects=&template=feature_request.yml).
## Deployment
You can add the s3proxy to your Constellation cluster as follows:
1. Add the Edgeless Systems chart repository:
```bash
helm repo add edgeless https://helm.edgeless.systems/stable
helm repo update
```
2. Set ACCESS_KEY and ACCESS_SECRET to valid credentials you want s3proxy to use to interact with S3.
3. Deploy s3proxy:
```bash
helm install s3proxy edgeless/s3proxy --set awsAccessKeyID="$ACCESS_KEY" --set awsSecretAccessKey="$ACCESS_SECRET"
```
If you want to run a demo application, check out the [Filestash with s3proxy](../getting-started/examples/filestash-s3proxy.md) example.
## Technical details
### Encryption
s3proxy relies on Google's [Tink Cryptographic Library](https://developers.google.com/tink) to implement cryptographic operations securely.
The used cryptographic primitives are [NIST SP 800 38f](https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.800-38F.pdf) for key wrapping and [AES](https://en.wikipedia.org/wiki/Advanced_Encryption_Standard)-[GCM](https://en.wikipedia.org/wiki/Block_cipher_mode_of_operation#Galois/counter_(GCM)) with 256 bit keys for data encryption.
s3proxy uses [envelope encryption](https://cloud.google.com/kms/docs/envelope-encryption) to encrypt objects.
This means s3proxy uses a key encryption key (KEK) issued by the [KeyService](../architecture/microservices.md#keyservice) to encrypt data encryption keys (DEKs).
Each S3 object is encrypted with its own DEK.
The encrypted DEK is then saved as metadata of the encrypted object.
This enables key rotation of the KEK without re-encrypting the data in S3.
The approach also allows access to objects from different locations, as long as each location has access to the KEK.
### Traffic interception
To use s3proxy, you have to redirect your outbound S3 traffic to s3proxy.
This can either be done by modifying your client application or by changing the deployment of your application.
The necessary deployment modifications are to add DNS redirection and a trusted TLS certificate to the client's trust store.
DNS redirection can be defined for each pod, allowing you to use s3proxy for one application without changing other applications in the same cluster.
Adding a trusted TLS certificate is necessary as clients communicate with s3proxy via HTTPS.
To have your client application trust s3proxy's TLS certificate, the certificate has to be added to the client's certificate trust store.
The [Filestash with s3proxy](../getting-started/examples/filestash-s3proxy.md) example shows how to do this.

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# Consume software bill of materials (SBOMs)
<asciinemaWidget src="/constellation/assets/check-sbom.cast" rows="20" cols="112" idleTimeLimit="3" preload="true" theme="edgeless" />
---
Constellation builds produce a [software bill of materials (SBOM)](https://www.ntia.gov/SBOM) for each generated [artifact](../architecture/microservices.md).
You can use SBOMs to make informed decisions about dependencies and vulnerabilities in a given application. Enterprises rely on SBOMs to maintain an inventory of used applications, which allows them to take data-driven approaches to managing risks related to vulnerabilities.
SBOMs for Constellation are generated using [Syft](https://github.com/anchore/syft), signed using [Cosign](https://github.com/sigstore/cosign), and stored with the produced artifact.
:::note
The public key for Edgeless Systems' long-term code-signing key is:
```
-----BEGIN PUBLIC KEY-----
MFkwEwYHKoZIzj0CAQYIKoZIzj0DAQcDQgAEf8F1hpmwE+YCFXzjGtaQcrL6XZVT
JmEe5iSLvG1SyQSAew7WdMKF6o9t8e2TFuCkzlOhhlws2OHWbiFZnFWCFw==
-----END PUBLIC KEY-----
```
The public key is also available for download at https://edgeless.systems/es.pub and in the Twitter profile [@EdgelessSystems](https://twitter.com/EdgelessSystems).
Make sure the key is available in a file named `cosign.pub` to execute the following examples.
:::
## Verify and download SBOMs
The following sections detail how to work with each type of artifact to verify and extract the SBOM.
### Constellation CLI
The SBOM for Constellation CLI is made available on the [GitHub release page](https://github.com/edgelesssys/constellation/releases). The SBOM (`constellation.spdx.sbom`) and corresponding signature (`constellation.spdx.sbom.sig`) are valid for each Constellation CLI for a given version, regardless of architecture and operating system.
```bash
curl -LO https://github.com/edgelesssys/constellation/releases/download/v2.2.0/constellation.spdx.sbom
curl -LO https://github.com/edgelesssys/constellation/releases/download/v2.2.0/constellation.spdx.sbom.sig
cosign verify-blob --key cosign.pub --signature constellation.spdx.sbom.sig constellation.spdx.sbom
```
### Container Images
SBOMs for container images are [attached to the image using Cosign](https://docs.sigstore.dev/signing/other_types#sboms-software-bill-of-materials) and uploaded to the same registry.
As a consumer, use cosign to download and verify the SBOM:
```bash
# Verify and download the attestation statement
cosign verify-attestation ghcr.io/edgelesssys/constellation/verification-service@v2.2.0 --type 'https://cyclonedx.org/bom' --key cosign.pub --output-file verification-service.att.json
# Extract SBOM from attestation statement
jq -r .payload verification-service.att.json | base64 -d > verification-service.cyclonedx.sbom
```
A successful verification should result in similar output:
```shell-session
$ cosign verify-attestation ghcr.io/edgelesssys/constellation/verification-service@v2.2.0 --type 'https://cyclonedx.org/bom' --key cosign.pub --output-file verification-service.sbom
Verification for ghcr.io/edgelesssys/constellation/verification-service@v2.2.0 --
The following checks were performed on each of these signatures:
- The cosign claims were validated
- The signatures were verified against the specified public key
$ jq -r .payload verification-service.sbom | base64 -d > verification-service.cyclonedx.sbom
```
:::note
This example considers only the `verification-service`. The same approach works for all containers in the [Constellation container registry](https://github.com/orgs/edgelesssys/packages?repo_name=constellation).
:::
<!--
TODO(malt3): Once mkosi is implemented
## Operating System
-->
## Vulnerability scanning
You can use a plethora of tools to consume SBOMs. This section provides suggestions for tools that are popular and known to produce reliable results, but any tool that consumes [SPDX](https://spdx.dev/) or [CycloneDX](https://cyclonedx.org/) files should work.
Syft is able to [convert between the two formats](https://github.com/anchore/syft#format-conversion-experimental) in case you require a specific type.
### Grype
[Grype](https://github.com/anchore/grype) is a CLI tool that lends itself well for integration into CI/CD systems or local developer machines. It's also able to consume the signed attestation statement directly and does the verification in one go.
```bash
grype att:verification-service.sbom --key cosign.pub --add-cpes-if-none -q
```
### Dependency Track
[Dependency Track](https://dependencytrack.org/) is one of the oldest and most mature solutions when it comes to managing software inventory and vulnerabilities. Once imported, it continuously scans SBOMs for new vulnerabilities. It supports the CycloneDX format and provides direct guidance on how to comply with [U.S. Executive Order 14028](https://docs.dependencytrack.org/usage/executive-order-14028/).

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# Scale your cluster
Constellation provides all features of a Kubernetes cluster including scaling and autoscaling.
## Worker node scaling
### Autoscaling
Constellation comes with autoscaling disabled by default. To enable autoscaling, find the scaling group of
worker nodes:
```bash
kubectl get scalinggroups -o json | yq '.items | .[] | select(.spec.role == "Worker") | [{"name": .metadata.name, "nodeGoupName": .spec.nodeGroupName}]'
```
This will output a list of scaling groups with the corresponding cloud provider name (`name`) and the cloud provider agnostic name of the node group (`nodeGroupName`).
Then, patch the `autoscaling` field of the scaling group resource with the desired `name` to `true`:
```bash
# Replace <name> with the name of the scaling group you want to enable autoscaling for
worker_group=<name>
kubectl patch scalinggroups $worker_group --patch '{"spec":{"autoscaling": true}}' --type='merge'
kubectl get scalinggroup $worker_group -o jsonpath='{.spec}' | yq -P
```
The cluster autoscaler now automatically provisions additional worker nodes so that all pods have a place to run.
You can configure the minimum and maximum number of worker nodes in the scaling group by patching the `min` or
`max` fields of the scaling group resource:
```bash
kubectl patch scalinggroups $worker_group --patch '{"spec":{"max": 5}}' --type='merge'
kubectl get scalinggroup $worker_group -o jsonpath='{.spec}' | yq -P
```
The cluster autoscaler will now never provision more than 5 worker nodes.
If you want to see the autoscaling in action, try to add a deployment with a lot of replicas, like the
following Nginx deployment. The number of replicas needed to trigger the autoscaling depends on the size of
and count of your worker nodes. Wait for the rollout of the deployment to finish and compare the number of
worker nodes before and after the deployment:
```bash
kubectl create deployment nginx --image=nginx --replicas 150
kubectl -n kube-system get nodes
kubectl rollout status deployment nginx
kubectl -n kube-system get nodes
```
### Manual scaling
Alternatively, you can manually scale your cluster up or down:
<tabs groupId="csp">
<tabItem value="azure" label="Azure">
1. Find your Constellation resource group.
2. Select the `scale-set-workers`.
3. Go to **settings** and **scaling**.
4. Set the new **instance count** and **save**.
</tabItem>
<tabItem value="gcp" label="GCP">
1. In Compute Engine go to [Instance Groups](https://console.cloud.google.com/compute/instanceGroups/).
2. **Edit** the **worker** instance group.
3. Set the new **number of instances** and **save**.
</tabItem>
<tabItem value="aws" label="AWS">
1. Go to Auto Scaling Groups and select the worker ASG to scale up.
2. Click **Edit**
3. Set the new (increased) **Desired capacity** and **Update**.
</tabItem>
</tabs>
## Control-plane node scaling
Control-plane nodes can **only be scaled manually and only scaled up**!
To increase the number of control-plane nodes, follow these steps:
<tabs groupId="csp">
<tabItem value="azure" label="Azure">
1. Find your Constellation resource group.
2. Select the `scale-set-controlplanes`.
3. Go to **settings** and **scaling**.
4. Set the new (increased) **instance count** and **save**.
</tabItem>
<tabItem value="gcp" label="GCP">
1. In Compute Engine go to [Instance Groups](https://console.cloud.google.com/compute/instanceGroups/).
2. **Edit** the **control-plane** instance group.
3. Set the new (increased) **number of instances** and **save**.
</tabItem>
<tabItem value="aws" label="AWS">
1. Go to Auto Scaling Groups and select the control-plane ASG to scale up.
2. Click **Edit**
3. Set the new (increased) **Desired capacity** and **Update**.
</tabItem>
</tabs>
If you scale down the number of control-planes nodes, the removed nodes won't be able to exit the `etcd` cluster correctly. This will endanger the quorum that's required to run a stable Kubernetes control plane.

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# Use persistent storage
Persistent storage in Kubernetes requires cloud-specific configuration.
For abstraction of container storage, Kubernetes offers [volumes](https://kubernetes.io/docs/concepts/storage/volumes/),
allowing users to mount storage solutions directly into containers.
The [Container Storage Interface (CSI)](https://kubernetes-csi.github.io/docs/) is the standard interface for exposing arbitrary block and file storage systems into containers in Kubernetes.
Cloud service providers (CSPs) offer their own CSI-based solutions for cloud storage.
## Confidential storage
Most cloud storage solutions support encryption, such as [GCE Persistent Disks (PD)](https://cloud.google.com/kubernetes-engine/docs/how-to/using-cmek).
Constellation supports the available CSI-based storage options for Kubernetes engines in AWS, Azure, and GCP.
However, their encryption takes place in the storage backend and is managed by the CSP.
Thus, using the default CSI drivers for these storage types means trusting the CSP with your persistent data.
To address this, Constellation provides CSI drivers for AWS EBS, Azure Disk, and GCE PD, offering [encryption on the node level](../architecture/keys.md#storage-encryption). They enable transparent encryption for persistent volumes without needing to trust the cloud backend. Plaintext data never leaves the confidential VM context, offering you confidential storage.
For more details see [encrypted persistent storage](../architecture/encrypted-storage.md).
## CSI drivers
Constellation supports the following drivers, which offer node-level encryption and optional integrity protection.
<tabs groupId="csp">
<tabItem value="azure" label="Azure">
**Constellation CSI driver for Azure Disk**:
Mount Azure [Disk Storage](https://azure.microsoft.com/en-us/services/storage/disks/#overview) into your Constellation cluster.
See the instructions on how to [install the Constellation CSI driver](#installation) or check out the [repository](https://github.com/edgelesssys/constellation-azuredisk-csi-driver) for more information.
Since Azure Disks are mounted as `ReadWriteOnce`, they're only available to a single pod.
</tabItem>
<tabItem value="gcp" label="GCP">
**Constellation CSI driver for GCP Persistent Disk**:
Mount [Persistent Disk](https://cloud.google.com/persistent-disk) block storage into your Constellation cluster.
Follow the instructions on how to [install the Constellation CSI driver](#installation) or check out the [repository](https://github.com/edgelesssys/constellation-gcp-compute-persistent-disk-csi-driver) for more information.
</tabItem>
<tabItem value="aws" label="AWS">
**Constellation CSI driver for AWS Elastic Block Store**
Mount [Elastic Block Store](https://aws.amazon.com/ebs/) storage volumes into your Constellation cluster.
Follow the instructions on how to [install the Constellation CSI driver](#installation) or check out the [repository](https://github.com/edgelesssys/constellation-aws-ebs-csi-driver) for more information.
</tabItem>
</tabs>
Note that in case the options above aren't a suitable solution for you, Constellation is compatible with all other CSI-based storage options. For example, you can use [AWS EFS](https://docs.aws.amazon.com/en_en/eks/latest/userguide/efs-csi.html), [Azure Files](https://docs.microsoft.com/en-us/azure/storage/files/storage-files-introduction), or [GCP Filestore](https://cloud.google.com/filestore) with Constellation out of the box. Constellation is just not providing transparent encryption on the node level for these storage types yet.
## Installation
The Constellation CLI automatically installs Constellation's CSI driver for the selected CSP in your cluster.
If you don't need a CSI driver or wish to deploy your own, you can disable the automatic installation by setting `deployCSIDriver` to `false` in your Constellation config file.
<tabs groupId="csp">
<tabItem value="azure" label="Azure">
Azure comes with two storage classes by default.
* `encrypted-rwo`
* Uses [Standard SSDs](https://learn.microsoft.com/en-us/azure/virtual-machines/disks-types#standard-ssds)
* ext-4 filesystem
* Encryption of all data written to disk
* `integrity-encrypted-rwo`
* Uses [Premium SSDs](https://learn.microsoft.com/en-us/azure/virtual-machines/disks-types#premium-ssds)
* ext-4 filesystem
* Encryption of all data written to disk
* Integrity protection of data written to disk
For more information on encryption algorithms and key sizes, refer to [cryptographic algorithms](../architecture/encrypted-storage.md#cryptographic-algorithms).
:::info
The default storage class is set to `encrypted-rwo` for performance reasons.
If you want integrity-protected storage, set the `storageClassName` parameter of your persistent volume claim to `integrity-encrypted-rwo`.
Alternatively, you can create your own storage class with integrity protection enabled by adding `csi.storage.k8s.io/fstype: ext4-integrity` to the class `parameters`.
Or use another filesystem by specifying another file system type with the suffix `-integrity`, e.g., `csi.storage.k8s.io/fstype: xfs-integrity`.
Note that volume expansion isn't supported for integrity-protected disks.
:::
</tabItem>
<tabItem value="gcp" label="GCP">
GCP comes with two storage classes by default.
* `encrypted-rwo`
* Uses [standard persistent disks](https://cloud.google.com/compute/docs/disks#pdspecs)
* ext-4 filesystem
* Encryption of all data written to disk
* `integrity-encrypted-rwo`
* Uses [performance (SSD) persistent disks](https://cloud.google.com/compute/docs/disks#pdspecs)
* ext-4 filesystem
* Encryption of all data written to disk
* Integrity protection of data written to disk
For more information on encryption algorithms and key sizes, refer to [cryptographic algorithms](../architecture/encrypted-storage.md#cryptographic-algorithms).
:::info
The default storage class is set to `encrypted-rwo` for performance reasons.
If you want integrity-protected storage, set the `storageClassName` parameter of your persistent volume claim to `integrity-encrypted-rwo`.
Alternatively, you can create your own storage class with integrity protection enabled by adding `csi.storage.k8s.io/fstype: ext4-integrity` to the class `parameters`.
Or use another filesystem by specifying another file system type with the suffix `-integrity`, e.g., `csi.storage.k8s.io/fstype: xfs-integrity`.
Note that volume expansion isn't supported for integrity-protected disks.
:::
</tabItem>
<tabItem value="aws" label="AWS">
AWS comes with two storage classes by default.
* `encrypted-rwo`
* Uses [SSDs of `gp3` type](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ebs-volume-types.html)
* ext-4 filesystem
* Encryption of all data written to disk
* `integrity-encrypted-rwo`
* Uses [SSDs of `gp3` type](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ebs-volume-types.html)
* ext-4 filesystem
* Encryption of all data written to disk
* Integrity protection of data written to disk
For more information on encryption algorithms and key sizes, refer to [cryptographic algorithms](../architecture/encrypted-storage.md#cryptographic-algorithms).
:::info
The default storage class is set to `encrypted-rwo` for performance reasons.
If you want integrity-protected storage, set the `storageClassName` parameter of your persistent volume claim to `integrity-encrypted-rwo`.
Alternatively, you can create your own storage class with integrity protection enabled by adding `csi.storage.k8s.io/fstype: ext4-integrity` to the class `parameters`.
Or use another filesystem by specifying another file system type with the suffix `-integrity`, e.g., `csi.storage.k8s.io/fstype: xfs-integrity`.
Note that volume expansion isn't supported for integrity-protected disks.
:::
</tabItem>
</tabs>
1. Create a [persistent volume](https://kubernetes.io/docs/concepts/storage/persistent-volumes/)
A [persistent volume claim](https://kubernetes.io/docs/concepts/storage/persistent-volumes/#persistentvolumeclaims) is a request for storage with certain properties.
It can refer to a storage class.
The following creates a persistent volume claim, requesting 20 GB of storage via the `encrypted-rwo` storage class:
```bash
cat <<EOF | kubectl apply -f -
kind: PersistentVolumeClaim
apiVersion: v1
metadata:
name: pvc-example
namespace: default
spec:
accessModes:
- ReadWriteOnce
storageClassName: encrypted-rwo
resources:
requests:
storage: 20Gi
EOF
```
2. Create a Pod with persistent storage
You can assign a persistent volume claim to an application in need of persistent storage.
The mounted volume will persist restarts.
The following creates a pod that uses the previously created persistent volume claim:
```bash
cat <<EOF | kubectl apply -f -
apiVersion: v1
kind: Pod
metadata:
name: web-server
namespace: default
spec:
containers:
- name: web-server
image: nginx
volumeMounts:
- mountPath: /var/lib/www/html
name: mypvc
volumes:
- name: mypvc
persistentVolumeClaim:
claimName: pvc-example
readOnly: false
EOF
```
### Change the default storage class
The default storage class is responsible for all persistent volume claims that don't explicitly request `storageClassName`.
Constellation creates a storage class with encryption enabled and sets this as the default class.
In case you wish to change it, follow the steps below:
1. List the storage classes in your cluster:
```bash
kubectl get storageclass
```
The output is similar to this:
```shell-session
NAME PROVISIONER RECLAIMPOLICY VOLUMEBINDINGMODE ALLOWVOLUMEEXPANSION AGE
encrypted-rwo (default) {your-csp}.csi.confidential.cloud Delete Immediate true 1d
integrity-encrypted-rwo {your-csp}.csi.confidential.cloud Delete Immediate false 1d
```
The default storage class is marked by `(default)`.
2. Mark old default storage class as non default
If you previously used another storage class as the default, you will have to remove that annotation:
```bash
kubectl patch storageclass encrypted-rwo -p '{"metadata": {"annotations":{"storageclass.kubernetes.io/is-default-class":"false"}}}'
```
3. Mark new class as the default
```bash
kubectl patch storageclass integrity-encrypted-rwo -p '{"metadata": {"annotations":{"storageclass.kubernetes.io/is-default-class":"true"}}}'
```
4. Verify that your chosen storage class is default:
```bash
kubectl get storageclass
```
The output is similar to this:
```shell-session
NAME PROVISIONER RECLAIMPOLICY VOLUMEBINDINGMODE ALLOWVOLUMEEXPANSION AGE
encrypted-rwo {your-csp}.csi.confidential.cloud Delete Immediate true 1d
integrity-encrypted-rwo (default) {your-csp}.csi.confidential.cloud Delete Immediate false 1d
```

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# Terminate your cluster
:::info
This recording presents the essence of this page. It's recommended to read it in full for the motivation and all details.
:::
<asciinemaWidget src="/constellation/assets/terminate-cluster.cast" rows="20" cols="112" idleTimeLimit="3" preload="true" theme="edgeless" />
---
You can terminate your cluster using the CLI. For this, you need the Terraform state directory named [`constellation-terraform`](../reference/terraform.md) in the current directory.
:::danger
All ephemeral storage and state of your cluster will be lost. Make sure any data is safely stored in persistent storage. Constellation can recreate your cluster and the associated encryption keys, but won't backup your application data automatically.
:::
<tabs groupId="provider">
<tabItem value="cli" label="CLI">
Terminate the cluster by running:
```bash
constellation terminate
```
Or without confirmation (e.g., for automation purposes):
```bash
constellation terminate --yes
```
This deletes all resources created by Constellation in your cloud environment.
All local files created by the `apply` command are deleted as well, except for `constellation-mastersecret.json` and the configuration file.
:::caution
Termination can fail if additional resources have been created that depend on the ones managed by Constellation. In this case, you need to delete these additional
resources manually. Just run the `terminate` command again afterward to continue the termination process of the cluster.
:::
</tabItem>
<tabItem value="terraform" label="Terraform">
Terminate the cluster by running:
```bash
terraform destroy
```
Delete all files that are no longer needed:
```bash
rm constellation-state.yaml constellation-admin.conf
```
Only the `constellation-mastersecret.json` and the configuration file remain.
</tabItem>
</tabs>

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# Use the Terraform provider
The Constellation Terraform provider allows to manage the full lifecycle of a Constellation cluster (namely creation, upgrades, and deletion) via Terraform.
The provider is available through the [Terraform registry](https://registry.terraform.io/providers/edgelesssys/constellation/latest) and is released in lock-step with Constellation releases.
## Prerequisites
- a Linux / Mac operating system (ARM64/AMD64)
- a Terraform installation of version `v1.4.4` or above
## Quick setup
This example shows how to set up a Constellation cluster with the reference IAM and infrastructure setup. This setup is also used when creating a Constellation cluster through the Constellation CLI. You can either consume the IAM / infrastructure modules through a remote source (recommended) or local files. The latter requires downloading the infrastructure and IAM modules for the corresponding CSP from `terraform-modules.zip` on the [Constellation release page](https://github.com/edgelesssys/constellation/releases/latest) and placing them in the Terraform workspace directory.
1. Create a directory (workspace) for your Constellation cluster.
```bash
mkdir constellation-workspace
cd constellation-workspace
```
2. Use one of the [example configurations for using the Constellation Terraform provider](https://github.com/edgelesssys/constellation/tree/main/terraform-provider-constellation/examples/full) or create a `main.tf` file and fill it with the resources you want to create. The [Constellation Terraform provider documentation](https://registry.terraform.io/providers/edgelesssys/constellation/latest) offers thorough documentation on the resources and their attributes.
3. Initialize and apply the Terraform configuration.
<tabs groupId="csp">
<tabItem value="azure" label="Azure">
When creating a cluster on Azure, you need to manually patch the policy of the MAA provider before creating the Constellation cluster, as this feature isn't available in Azure's Terraform provider yet. The Constellation CLI provides a utility for patching, but you
can also do it manually.
```bash
terraform init
terraform apply -target module.azure_iam # adjust resource path if not using the example configuration
terraform apply -target module.azure_infrastructure # adjust resource path if not using the example configuration
constellation maa-patch $(terraform output -raw maa_url) # adjust output path / input if not using the example configuration or manually patch the resource
terraform apply -target constellation_cluster.azure_example # adjust resource path if not using the example configuration
```
Optionally, you can prefix the `terraform apply` command with `TF_LOG=INFO` to collect [Terraform logs](https://developer.hashicorp.com/terraform/internals/debugging) while applying the configuration. This may provide helpful output in debugging scenarios.
Use the following policy if manually performing the patch.
```
version= 1.0;
authorizationrules
{
[type=="x-ms-azurevm-default-securebootkeysvalidated", value==false] => deny();
[type=="x-ms-azurevm-debuggersdisabled", value==false] => deny();
// The line below was edited to use the MAA provider within Constellation. Do not edit manually.
//[type=="secureboot", value==false] => deny();
[type=="x-ms-azurevm-signingdisabled", value==false] => deny();
[type=="x-ms-azurevm-dbvalidated", value==false] => deny();
[type=="x-ms-azurevm-dbxvalidated", value==false] => deny();
=> permit();
};
issuancerules
{
};
```
</tabItem>
<tabItem value="aws" label="AWS">
Initialize the providers and apply the configuration.
```bash
terraform init
terraform apply
```
Optionally, you can prefix the `terraform apply` command with `TF_LOG=INFO` to collect [Terraform logs](https://developer.hashicorp.com/terraform/internals/debugging) while applying the configuration. This may provide helpful output in debugging scenarios.
</tabItem>
<tabItem value="gcp" label="GCP">
Initialize the providers and apply the configuration.
```bash
terraform init
terraform apply
```
Optionally, you can prefix the `terraform apply` command with `TF_LOG=INFO` to collect [Terraform logs](https://developer.hashicorp.com/terraform/internals/debugging) while applying the configuration. This may provide helpful output in debugging scenarios.
</tabItem>
</tabs>
4. Connect to the cluster.
```bash
terraform output -raw kubeconfig > constellation-admin.conf
export KUBECONFIG=$(realpath constellation-admin.conf)
```
## Bringing your own infrastructure
Instead of using the example infrastructure used in the [quick setup](#quick-setup), you can also provide your own infrastructure.
If you need a starting point for a custom infrastructure setup, you can download the infrastructure / IAM Terraform modules for the respective CSP from the Constellation [GitHub releases](https://github.com/edgelesssys/constellation/releases). You can modify and extend the modules per your requirements, while keeping the basic functionality intact.
The module contains:
- `{csp}`: cloud resources the cluster runs on
- `iam/{csp}`: IAM resources used within the cluster
When upgrading your cluster, make sure to check the Constellation release notes for potential breaking changes in the reference infrastructure / IAM modules that need to be considered.
## Cluster upgrades
:::tip
Also see the [general documentation on cluster upgrades](./upgrade.md).
:::
The steps for applying the upgrade are as follows:
1. Update the version constraint of the Constellation Terraform provider in the `required_providers` block in your Terraform configuration.
2. If you explicitly set any of the version attributes of the provider's resources and data sources (e.g. `image_version` or `constellation_microservice_version`), make sure to update them too. Refer to Constellation's [version support policy](https://github.com/edgelesssys/constellation/blob/main/dev-docs/workflows/versions-support.md) for more information on how each Constellation version and its dependencies are supported.
3. Update the IAM / infrastructure configuration.
- For [remote addresses as module sources](https://developer.hashicorp.com/terraform/language/modules/sources#fetching-archives-over-http), update the version number inside the address of the `source` field of the infrastructure / IAM module to the target version.
- For [local paths as module sources](https://developer.hashicorp.com/terraform/language/modules/sources#local-paths) or when [providing your own infrastructure](#bringing-your-own-infrastructure), see the changes made in the reference modules since the upgrade's origin version and adjust your infrastructure / IAM configuration accordingly.
4. Upgrade the Terraform module and provider dependencies and apply the targeted configuration.
```bash
terraform init -upgrade
terraform apply
```

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# Troubleshooting
This section aids you in finding problems when working with Constellation.
## Common issues
### Issues with creating new clusters
When you create a new cluster, you should always use the [latest release](https://github.com/edgelesssys/constellation/releases/latest).
If something doesn't work, check out the [known issues](https://github.com/edgelesssys/constellation/issues?q=is%3Aopen+is%3Aissue+label%3A%22known+issue%22).
### Azure: Resource Providers can't be registered
On Azure, you may receive the following error when running `apply` or `terminate` with limited IAM permissions:
```shell-session
Error: Error ensuring Resource Providers are registered.
Terraform automatically attempts to register the Resource Providers it supports to
ensure it's able to provision resources.
If you don't have permission to register Resource Providers you may wish to use the
"skip_provider_registration" flag in the Provider block to disable this functionality.
[...]
```
To continue, please ensure that the [required resource providers](../getting-started/install.md#required-permissions) have been registered in your subscription by your administrator.
Afterward, set `ARM_SKIP_PROVIDER_REGISTRATION=true` as an environment variable and either run `apply` or `terminate` again.
For example:
```bash
ARM_SKIP_PROVIDER_REGISTRATION=true constellation apply
```
Or alternatively, for `terminate`:
```bash
ARM_SKIP_PROVIDER_REGISTRATION=true constellation terminate
```
### Nodes fail to join with error `untrusted measurement value`
This error indicates that a node's [attestation statement](../architecture/attestation.md) contains measurements that don't match the trusted values expected by the [JoinService](../architecture/microservices.md#joinservice).
This may for example happen if the cloud provider updates the VM's firmware such that it influences the [runtime measurements](../architecture/attestation.md#runtime-measurements) in an unforeseen way.
A failed upgrade due to an erroneous attestation config can also cause this error.
You can change the expected measurements to resolve the failure.
:::caution
Attestation and trusted measurements are crucial for the security of your cluster.
Be extra careful when manually changing these settings.
When in doubt, check if the encountered [issue is known](https://github.com/edgelesssys/constellation/issues?q=is%3Aopen+is%3Aissue+label%3A%22known+issue%22) or [contact support](https://github.com/edgelesssys/constellation#support).
:::
:::tip
During an upgrade with modified attestation config, a backup of the current configuration is stored in the `join-config` config map in the `kube-system` namespace under the `attestationConfig_backup` key. To restore the old attestation config after a failed upgrade, replace the value of `attestationConfig` with the value from `attestationConfig_backup`:
```bash
kubectl patch configmaps -n kube-system join-config -p "{\"data\":{\"attestationConfig\":\"$(kubectl get configmaps -n kube-system join-config -o "jsonpath={.data.attestationConfig_backup}")\"}}"
```
:::
You can use the `apply` command to change measurements of a running cluster:
1. Modify the `measurements` key in your local `constellation-conf.yaml` to the expected values.
2. Run `constellation apply`.
Keep in mind that running `apply` also applies any version changes from your config to the cluster.
You can run these commands to learn about the versions currently configured in the cluster:
- Kubernetes API server version: `kubectl get nodeversion constellation-version -o json -n kube-system | jq .spec.kubernetesClusterVersion`
- image version: `kubectl get nodeversion constellation-version -o json -n kube-system | jq .spec.imageVersion`
- microservices versions: `helm list --filter 'constellation-services' -n kube-system`
### Upgrading Kubernetes resources fails
Constellation manages its Kubernetes resources using Helm.
When applying an upgrade, the charts that are about to be installed, and a values override file `overrides.yaml`,
are saved to disk in your current workspace under `constellation-upgrade/upgrade-<timestamp>/helm-charts/`.
If upgrading the charts using the Constellation CLI fails, you can review these charts and try to manually apply the upgrade.
:::caution
Changing and manually applying the charts may destroy cluster resources and can lead to broken Constellation deployments.
Proceed with caution and when in doubt,
check if the encountered [issue is known](https://github.com/edgelesssys/constellation/issues?q=is%3Aopen+is%3Aissue+label%3A%22known+issue%22) or [contact support](https://github.com/edgelesssys/constellation#support).
:::
## Diagnosing issues
### Cloud logging
To provide information during early stages of a node's boot process, Constellation logs messages to the log systems of the cloud providers. Since these offerings **aren't** confidential, only generic information without any sensitive values is stored. This provides administrators with a high-level understanding of the current state of a node.
You can view this information in the following places:
<tabs groupId="csp">
<tabItem value="azure" label="Azure">
1. In your Azure subscription find the Constellation resource group.
2. Inside the resource group find the Application Insights resource called `constellation-insights-*`.
3. On the left-hand side go to `Logs`, which is located in the section `Monitoring`.
- Close the Queries page if it pops up.
5. In the query text field type in `traces`, and click `Run`.
To **find the disk UUIDs** use the following query: `traces | where message contains "Disk UUID"`
</tabItem>
<tabItem value="gcp" label="GCP">
1. Select the project that hosts Constellation.
2. Go to the `Compute Engine` service.
3. On the right-hand side of a VM entry select `More Actions` (a stacked ellipsis)
- Select `View logs`
To **find the disk UUIDs** use the following query: `resource.type="gce_instance" text_payload=~"Disk UUID:.*\n" logName=~".*/constellation-boot-log"`
:::info
Constellation uses the default bucket to store logs. Its [default retention period is 30 days](https://cloud.google.com/logging/quotas#logs_retention_periods).
:::
</tabItem>
<tabItem value="aws" label="AWS">
1. Open [AWS CloudWatch](https://console.aws.amazon.com/cloudwatch/home)
2. Select [Log Groups](https://console.aws.amazon.com/cloudwatch/home#logsV2:log-groups)
3. Select the log group that matches the name of your cluster.
4. Select the log stream for control or worker type nodes.
</tabItem>
</tabs>
### Node shell access
Debugging via a shell on a node is [directly supported by Kubernetes](https://kubernetes.io/docs/tasks/debug/debug-application/debug-running-pod/#node-shell-session).
1. Figure out which node to connect to:
```bash
kubectl get nodes
# or to see more information, such as IPs:
kubectl get nodes -o wide
```
2. Connect to the node:
```bash
kubectl debug node/constell-worker-xksa0-000000 -it --image=busybox
```
You will be presented with a prompt.
The nodes file system is mounted at `/host`.
3. Once finished, clean up the debug pod:
```bash
kubectl delete pod node-debugger-constell-worker-xksa0-000000-bjthj
```

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# Use Azure trusted launch VMs
Constellation also supports [trusted launch VMs](https://docs.microsoft.com/en-us/azure/virtual-machines/trusted-launch) on Microsoft Azure. Trusted launch VMs don't offer the same level of security as Confidential VMs, but are available in more regions and in larger quantities. The main difference between trusted launch VMs and normal VMs is that the former offer vTPM-based remote attestation. When used with trusted launch VMs, Constellation relies on vTPM-based remote attestation to verify nodes.
:::caution
Trusted launch VMs don't provide runtime encryption and don't keep the cloud service provider (CSP) out of your trusted computing base.
:::
Constellation supports trusted launch VMs with instance types `Standard_D*_v4` and `Standard_E*_v4`. Run `constellation config instance-types` for a list of all supported instance types.
## VM images
Azure currently doesn't support [community galleries for trusted launch VMs](https://docs.microsoft.com/en-us/azure/virtual-machines/share-gallery-community). Thus, you need to manually import the Constellation node image into your cloud subscription.
The latest image is available at <https://cdn.confidential.cloud/constellation/images/azure/trusted-launch/v2.2.0/constellation.img>. Simply adjust the version number to download a newer version.
After you've downloaded the image, create a resource group `constellation-images` in your Azure subscription and import the image.
You can use a script to do this:
```bash
wget https://raw.githubusercontent.com/edgelesssys/constellation/main/hack/importAzure.sh
chmod +x importAzure.sh
AZURE_IMAGE_VERSION=2.2.0 AZURE_RESOURCE_GROUP_NAME=constellation-images AZURE_IMAGE_FILE=./constellation.img ./importAzure.sh
```
The script creates the following resources:
1. A new image gallery with the default name `constellation-import`
2. A new image definition with the default name `constellation`
3. The actual image with the provided version. In this case `2.2.0`
Once the import is completed, use the `ID` of the image version in your `constellation-conf.yaml` for the `image` field. Set `confidentialVM` to `false`.
Fetch the image measurements:
```bash
IMAGE_VERSION=2.2.0
URL=https://public-edgeless-constellation.s3.us-east-2.amazonaws.com//communitygalleries/constellationcvm-b3782fa0-0df7-4f2f-963e-fc7fc42663df/images/constellation/versions/$IMAGE_VERSION/measurements.yaml
constellation config fetch-measurements -u$URL -s$URL.sig
```
:::info
The [`constellation apply`](create.md) command will issue a warning because manually imported images aren't recognized as production grade images:
```shell-session
Configured image doesn't look like a released production image. Double check image before deploying to production.
```
Please ignore this warning.
:::

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# Upgrade your cluster
Constellation provides an easy way to upgrade all components of your cluster, without disrupting it's availability.
Specifically, you can upgrade the Kubernetes version, the nodes' image, and the Constellation microservices.
You configure the desired versions in your local Constellation configuration and trigger upgrades with the `apply` command.
To learn about available versions you use the `upgrade check` command.
Which versions are available depends on the CLI version you are using.
## Update the CLI
Each CLI comes with a set of supported microservice and Kubernetes versions.
Most importantly, a given CLI version can only upgrade a cluster of the previous minor version, but not older ones.
This means that you have to upgrade your CLI and cluster one minor version at a time.
For example, if you are currently on CLI version v2.6 and the latest version is v2.8, you should
* upgrade the CLI to v2.7,
* upgrade the cluster to v2.7,
* and only then continue upgrading the CLI (and the cluster) to v2.8 after.
Also note that if your current Kubernetes version isn't supported by the next CLI version, use your current CLI to upgrade to a newer Kubernetes version first.
To learn which Kubernetes versions are supported by a particular CLI, run [constellation config kubernetes-versions](../reference/cli.md#constellation-config-kubernetes-versions).
## Migrate the configuration
The Constellation configuration file is located in the file `constellation-conf.yaml` in your workspace.
Refer to the [migration reference](../reference/migration.md) to check if you need to update fields in your configuration file.
Use [`constellation config migrate`](../reference/cli.md#constellation-config-migrate) to automatically update an old config file to a new format.
## Check for upgrades
To learn which versions the current CLI can upgrade to and what's installed in your cluster, run:
```bash
# Show possible upgrades
constellation upgrade check
# Show possible upgrades and write them to config file
constellation upgrade check --update-config
```
You can either enter the reported target versions into your config manually or run the above command with the `--update-config` flag.
When using this flag, the `kubernetesVersion`, `image`, `microserviceVersion`, and `attestation` fields are overwritten with the smallest available upgrade.
## Apply the upgrade
Once you updated your config with the desired versions, you can trigger the upgrade with this command:
```bash
constellation apply
```
Microservice upgrades will be finished within a few minutes, depending on the cluster size.
If you are interested, you can monitor pods restarting in the `kube-system` namespace with your tool of choice.
Image and Kubernetes upgrades take longer.
For each node in your cluster, a new node has to be created and joined.
The process usually takes up to ten minutes per node.
When applying an upgrade, the Helm charts for the upgrade as well as backup files of Constellation-managed Custom Resource Definitions, Custom Resources, and Terraform state are created.
You can use the Terraform state backup to restore previous resources in case an upgrade misconfigured or erroneously deleted a resource.
You can use the Custom Resource (Definition) backup files to restore Custom Resources and Definitions manually (e.g., via `kubectl apply`) if the automatic migration of those resources fails.
You can use the Helm charts to manually apply upgrades to the Kubernetes resources, should an upgrade fail.
:::note
For advanced users: the upgrade consists of several phases that can be individually skipped through the `--skip-phases` flag.
The phases are `infrastracture` for the cloud resource management through Terraform, `helm` for the chart management of the microservices, `image` for OS image upgrades, and `k8s` for Kubernetes version upgrades.
:::
## Check the status
Upgrades are asynchronous operations.
After you run `apply`, it will take a while until the upgrade has completed.
To understand if an upgrade is finished, you can run:
```bash
constellation status
```
This command displays the following information:
* The installed services and their versions
* The image and Kubernetes version the cluster is expecting on each node
* How many nodes are up to date
Here's an example output:
```shell-session
Target versions:
Image: v2.6.0
Kubernetes: v1.25.8
Service versions:
Cilium: v1.12.1
cert-manager: v1.10.0
constellation-operators: v2.6.0
constellation-services: v2.6.0
Cluster status: Some node versions are out of date
Image: 23/25
Kubernetes: 25/25
```
This output indicates that the cluster is running Kubernetes version `1.25.8`, and all nodes have the appropriate binaries installed.
23 out of 25 nodes have already upgraded to the targeted image version of `2.6.0`, while two are still in progress.
## Apply further upgrades
After the upgrade is finished, you can run `constellation upgrade check` again to see if there are more upgrades available. If so, repeat the process.

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# Verify the CLI
:::info
This recording presents the essence of this page. It's recommended to read it in full for the motivation and all details.
:::
<asciinemaWidget src="/constellation/assets/verify-cli.cast" rows="20" cols="112" idleTimeLimit="3" preload="true" theme="edgeless" />
---
Edgeless Systems uses [sigstore](https://www.sigstore.dev/) and [SLSA](https://slsa.dev) to ensure supply-chain security for the Constellation CLI and node images ("artifacts"). sigstore consists of three components: [Cosign](https://docs.sigstore.dev/signing/quickstart), [Rekor](https://docs.sigstore.dev/logging/overview), and Fulcio. Edgeless Systems uses Cosign to sign artifacts. All signatures are uploaded to the public Rekor transparency log, which resides at <https://rekor.sigstore.dev/>.
:::note
The public key for Edgeless Systems' long-term code-signing key is:
```
-----BEGIN PUBLIC KEY-----
MFkwEwYHKoZIzj0CAQYIKoZIzj0DAQcDQgAEf8F1hpmwE+YCFXzjGtaQcrL6XZVT
JmEe5iSLvG1SyQSAew7WdMKF6o9t8e2TFuCkzlOhhlws2OHWbiFZnFWCFw==
-----END PUBLIC KEY-----
```
The public key is also available for download at <https://edgeless.systems/es.pub> and in the Twitter profile [@EdgelessSystems](https://twitter.com/EdgelessSystems).
:::
The Rekor transparency log is a public append-only ledger that verifies and records signatures and associated metadata. The Rekor transparency log enables everyone to observe the sequence of (software) signatures issued by Edgeless Systems and many other parties. The transparency log allows for the public identification of dubious or malicious signatures.
You should always ensure that (1) your CLI executable was signed with the private key corresponding to the above public key and that (2) there is a corresponding entry in the Rekor transparency log. Both can be done as described in the following.
:::info
You don't need to verify the Constellation node images. This is done automatically by your CLI and the rest of Constellation.
:::
## Verify the signature
First, [install the Cosign CLI](https://docs.sigstore.dev/system_config/installation). Next, [download](https://github.com/edgelesssys/constellation/releases) and verify the signature that accompanies your CLI executable, for example:
```shell-session
$ cosign verify-blob --key https://edgeless.systems/es.pub --signature constellation-linux-amd64.sig constellation-linux-amd64
Verified OK
```
The above performs an offline verification of the provided public key, signature, and executable. To also verify that a corresponding entry exists in the public Rekor transparency log, add the variable `COSIGN_EXPERIMENTAL=1`:
```shell-session
$ COSIGN_EXPERIMENTAL=1 cosign verify-blob --key https://edgeless.systems/es.pub --signature constellation-linux-amd64.sig constellation-linux-amd64
tlog entry verified with uuid: afaba7f6635b3e058888692841848e5514357315be9528474b23f5dcccb82b13 index: 3477047
Verified OK
```
🏁 You now know that your CLI executable was officially released and signed by Edgeless Systems.
### Optional: Manually inspect the transparency log
To further inspect the public Rekor transparency log, [install the Rekor CLI](https://docs.sigstore.dev/logging/installation). A search for the CLI executable should give a single UUID. (Note that this UUID contains the UUID from the previous `cosign` command.)
```shell-session
$ rekor-cli search --artifact constellation-linux-amd64
Found matching entries (listed by UUID):
362f8ecba72f4326afaba7f6635b3e058888692841848e5514357315be9528474b23f5dcccb82b13
```
With this UUID you can get the full entry from the transparency log:
```shell-session
$ rekor-cli get --uuid=362f8ecba72f4326afaba7f6635b3e058888692841848e5514357315be9528474b23f5dcccb82b13
LogID: c0d23d6ad406973f9559f3ba2d1ca01f84147d8ffc5b8445c224f98b9591801d
Index: 3477047
IntegratedTime: 2022-09-12T22:28:16Z
UUID: afaba7f6635b3e058888692841848e5514357315be9528474b23f5dcccb82b13
Body: {
"HashedRekordObj": {
"data": {
"hash": {
"algorithm": "sha256",
"value": "40e137b9b9b8204d672642fd1e181c6d5ccb50cfc5cc7fcbb06a8c2c78f44aff"
}
},
"signature": {
"content": "MEUCIQCSER3mGj+j5Pr2kOXTlCIHQC3gT30I7qkLr9Awt6eUUQIgcLUKRIlY50UN8JGwVeNgkBZyYD8HMxwC/LFRWoMn180=",
"publicKey": {
"content": "LS0tLS1CRUdJTiBQVUJMSUMgS0VZLS0tLS0KTUZrd0V3WUhLb1pJemowQ0FRWUlLb1pJemowREFRY0RRZ0FFZjhGMWhwbXdFK1lDRlh6akd0YVFjckw2WFpWVApKbUVlNWlTTHZHMVN5UVNBZXc3V2RNS0Y2bzl0OGUyVEZ1Q2t6bE9oaGx3czJPSFdiaUZabkZXQ0Z3PT0KLS0tLS1FTkQgUFVCTElDIEtFWS0tLS0tCg=="
}
}
}
}
```
The field `publicKey` should contain Edgeless Systems' public key in Base64 encoding.
You can get an exhaustive list of artifact signatures issued by Edgeless Systems via the following command:
```bash
rekor-cli search --public-key https://edgeless.systems/es.pub --pki-format x509
```
Edgeless Systems monitors this list to detect potential unauthorized use of its private key.
## Verify the provenance
Provenance attests that a software artifact was produced by a specific repository and build system invocation. For more information on provenance visit [slsa.dev](https://slsa.dev/provenance/v0.2) and learn about the [adoption of SLSA for Constellation](../reference/slsa.md).
Just as checking its signature proves that the CLI hasn't been manipulated, checking the provenance proves that the artifact was produced by the expected build process and hasn't been tampered with.
To verify the provenance, first install the [slsa-verifier](https://github.com/slsa-framework/slsa-verifier). Then make sure you have the provenance file (`constellation.intoto.jsonl`) and Constellation CLI downloaded. Both are available on the [GitHub release page](https://github.com/edgelesssys/constellation/releases).
:::info
The same provenance file is valid for all Constellation CLI executables of a given version independent of the target platform.
:::
Use the verifier to perform the check:
```shell-session
$ slsa-verifier verify-artifact constellation-linux-amd64 \
--provenance-path constellation.intoto.jsonl \
--source-uri github.com/edgelesssys/constellation
Verified signature against tlog entry index 7771317 at URL: https://rekor.sigstore.dev/api/v1/log/entries/24296fb24b8ad77af2c04c8b4ae0d5bc5...
Verified build using builder https://github.com/slsa-framework/slsa-github-generator/.github/workflows/generator_generic_slsa3.yml@refs/tags/v1.2.2 at commit 18e9924b416323c37b9cdfd6cc728de8a947424a
PASSED: Verified SLSA provenance
```

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# Verify your cluster
Constellation's [attestation feature](../architecture/attestation.md) allows you, or a third party, to verify the integrity and confidentiality of your Constellation cluster.
## Fetch measurements
To verify the integrity of Constellation you need trusted measurements to verify against. For each node image released by Edgeless Systems, there are signed measurements, which you can download using the CLI:
```bash
constellation config fetch-measurements
```
This command performs the following steps:
1. Download the signed measurements for the configured image. By default, this will use Edgeless Systems' public measurement registry.
2. Verify the signature of the measurements. This will use Edgeless Systems' [public key](https://edgeless.systems/es.pub).
3. Write measurements into configuration file.
The configuration file then contains a list of `measurements` similar to the following:
```yaml
# ...
measurements:
0:
expected: "0f35c214608d93c7a6e68ae7359b4a8be5a0e99eea9107ece427c4dea4e439cf"
warnOnly: false
4:
expected: "02c7a67c01ec70ffaf23d73a12f749ab150a8ac6dc529bda2fe1096a98bf42ea"
warnOnly: false
5:
expected: "e6949026b72e5045706cd1318889b3874480f7a3f7c5c590912391a2d15e6975"
warnOnly: true
8:
expected: "0000000000000000000000000000000000000000000000000000000000000000"
warnOnly: false
9:
expected: "f0a6e8601b00e2fdc57195686cd4ef45eb43a556ac1209b8e25d993213d68384"
warnOnly: false
11:
expected: "0000000000000000000000000000000000000000000000000000000000000000"
warnOnly: false
12:
expected: "da99eb6cf7c7fbb692067c87fd5ca0b7117dc293578e4fea41f95d3d3d6af5e2"
warnOnly: false
13:
expected: "0000000000000000000000000000000000000000000000000000000000000000"
warnOnly: false
14:
expected: "d7c4cc7ff7933022f013e03bdee875b91720b5b86cf1753cad830f95e791926f"
warnOnly: true
15:
expected: "0000000000000000000000000000000000000000000000000000000000000000"
warnOnly: false
# ...
```
Each entry specifies the expected value of the Constellation node, and whether the measurement should be enforced (`warnOnly: false`), or only a warning should be logged (`warnOnly: true`).
By default, the subset of the [available measurements](../architecture/attestation.md#runtime-measurements) that can be locally reproduced and verified is enforced.
During attestation, the validating side (CLI or [join service](../architecture/microservices.md#joinservice)) compares each measurement reported by the issuing side (first node or joining node) individually.
For mismatching measurements that have set `warnOnly` to `true` only a warning is emitted.
For mismatching measurements that have set `warnOnly` to `false` an error is emitted and attestation fails.
If attestation fails for a new node, it isn't permitted to join the cluster.
## The *verify* command
:::note
The steps below are purely optional. They're automatically executed by `constellation apply` when you initialize your cluster. The `constellation verify` command mostly has an illustrative purpose.
:::
The `verify` command obtains and verifies an attestation statement from a running Constellation cluster.
```bash
constellation verify [--cluster-id ...]
```
From the attestation statement, the command verifies the following properties:
* The cluster is using the correct Confidential VM (CVM) type.
* Inside the CVMs, the correct node images are running. The node images are identified through the measurements obtained in the previous step.
* The unique ID of the cluster matches the one from your `constellation-state.yaml` file or passed in via `--cluster-id`.
Once the above properties are verified, you know that you are talking to the right Constellation cluster and it's in a good and trustworthy shape.
### Custom arguments
The `verify` command also allows you to verify any Constellation deployment that you have network access to. For this you need the following:
* The IP address of a running Constellation cluster's [VerificationService](../architecture/microservices.md#verificationservice). The `VerificationService` is exposed via a `NodePort` service using the external IP address of your cluster. Run `kubectl get nodes -o wide` and look for `EXTERNAL-IP`.
* The cluster's *clusterID*. See [cluster identity](../architecture/keys.md#cluster-identity) for more details.
For example:
```shell-session
constellation verify -e 192.0.2.1 --cluster-id Q29uc3RlbGxhdGlvbkRvY3VtZW50YXRpb25TZWNyZXQ=
```

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