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# Examples
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After [installing the CLI](install.md) and [creating a cluster](first-steps.md) we've collected a few Kubernetes example applications for deploying in your cluster. They highlight different features and give a first hands-on experience working with Kubernetes in a Constellation cluster. If you have experience with Kubernetes deployments there shouldn't be any sensible differences. Have fun exploring your Confidential Kubernetes!
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Before trying out the example applications, make sure you [installed the Constellation CLI](install.md) and [created a cluster](first-steps.md). From there, the examples shown here are designed to work on a freshly created cluster and don't require any further prerequisites.
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Check out the following examples:
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* [Emojivoto](examples/emojivoto.md): A simple but fun demo application to test the general functionality of your confidential cluster.
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* [Online Boutique](examples/online-boutique.md): An e-commerce demo application by Google consisting of 11 separate microservices.
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* [Horizontal Pod Autoscaling](examples/horizontal-scaling.md): An example demonstrating Constellation's autoscaling capabilities.
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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?
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* [Emojivoto](examples/emojivoto.md): a simple but fun web application
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* [Online Boutique](examples/online-boutique.md): an e-commerce demo application by Google consisting of 11 separate microservices
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* [Horizontal Pod Autoscaling](examples/horizontal-scaling.md): an example demonstrating Constellation's autoscaling capabilities
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# Emojivoto
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For a simple but fun demo application to test the general functionality of your confidential cluster, take a look at [Emojivoto](https://github.com/BuoyantIO/emojivoto).
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[Emojivoto](https://github.com/BuoyantIO/emojivoto) is a simple and fun application that's well suited to test the basic functionality of your cluster.
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<!-- vale off -->
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# Horizontal Pod Autoscaling
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This example demonstrates Constellation's autoscaling capabilities by utilizing a slightly adapted version of the Kubernetes [HorizontalPodAutoscaler Walkthrough](https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale-walkthrough/). During the following steps, we will see Constellation be able to spawn new VMs on demand, add them to the cluster and later on delete them again when the load has settled down.
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This example demonstrates Constellation's autoscaling capabilities by utilizing a slightly adapted version of 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.
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## Requirements
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The cluster needs to be initialized with Kubernetes 1.23 or higher. In addition, autoscaling must be enabled to trigger Constellation to assign new nodes dynamically.
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Just for this example specifically, the cluster should have as few worker nodes in the beginning as possible. Starting with a small cluster having only *one* control plane node and *one* worker node using one of the low-end supported VMs is recommended for an easier demonstration and saving costs. The example has been tested on Azure using a `Standard_DC4as_v5` and on GCP using `n2d-standard-4` instance.
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Just for this example specifically, the cluster should have as few worker nodes in the beginning as possible. We recommend starting with a small cluster with only *one* low-powered node for the control plane node and *one* low-powered worker node.
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:::info
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We tested the example using instances of types `Standard_DC4as_v5` on Azure and `n2d-standard-4` on GCP.
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:::
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## Setup
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# Online Boutique
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[Online Boutique](https://github.com/GoogleCloudPlatform/microservices-demo) is an e-commerce demo application by Google consisting of 11 separate microservices. Constellation is automatically able to set up a load balancer on your CSP, making it easy to expose services from your confidential cluster without any additional setup required.
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[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.
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<!-- vale off -->
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kubectl wait --for=condition=available --timeout=300s -n boutique --all deployments
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```
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4. Get the external facing IP address of the frontend (with `<your-ip>` being a placeholder for the assigned IP from your CSP):
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```terminal-session
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```shell-session
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kubectl get service frontend-external -n boutique | awk '{print $4}'
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EXTERNAL-IP
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<your-ip>
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This creates the file `constellation-conf.yaml` in your current working directory.
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2. Fill in your cloud provider specific information:
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2. Fill in your cloud provider specific information.
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<tabs groupId="csp">
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<tabItem value="azure" label="Azure (CLI)" default>
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For a quick start it's recommended to use our `az` script to automatically create all required resources:
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For a quick start it's recommended to use the following `az` script to automatically create all required resources:
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```bash
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RESOURCE_GROUP=constellation # enter name of resource group here
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LOCATION=westus # enter location of resources here
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SUBSCRIPTION_ID=$(az account show --query id --out tsv)
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SERVICE_PRINCIPLE_NAME=constell
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SERVICE_PRINCIPAL_NAME=constell
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az group create --name "${RESOURCE_GROUP}" --location "${LOCATION}"
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az group create --name "${RESOURCE_GROUP}-identity" --location "${LOCATION}"
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az ad sp create-for-rbac -n "${SERVICE_PRINCIPLE_NAME}" --role Owner --scopes "/subscriptions/${SUBSCRIPTION_ID}/resourceGroups/${RESOURCE_GROUP}" | tee azureServiceAccountKey.json
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az identity create -g "${RESOURCE_GROUP}-identity" -n "${SERVICE_PRINCIPLE_NAME}"
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identityID=$(az identity show -n "${SERVICE_PRINCIPLE_NAME}" -g "${RESOURCE_GROUP}-identity" --query principalId --out tsv)
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az ad sp create-for-rbac -n "${SERVICE_PRINCIPAL_NAME}" --role Owner --scopes "/subscriptions/${SUBSCRIPTION_ID}/resourceGroups/${RESOURCE_GROUP}" | tee azureServiceAccountKey.json
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az identity create -g "${RESOURCE_GROUP}-identity" -n "${SERVICE_PRINCIPAL_NAME}"
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identityID=$(az identity show -n "${SERVICE_PRINCIPAL_NAME}" -g "${RESOURCE_GROUP}-identity" --query principalId --out tsv)
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az role assignment create --assignee-principal-type ServicePrincipal --assignee-object-id "${identityID}" --role 'Virtual Machine Contributor' --scope "/subscriptions/${SUBSCRIPTION_ID}"
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az role assignment create --assignee-principal-type ServicePrincipal --assignee-object-id "${identityID}" --role 'Application Insights Component Contributor' --scope "/subscriptions/${SUBSCRIPTION_ID}"
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echo "subscription: ${SUBSCRIPTION_ID}"
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echo "tenant: $(az account show --query tenantId -o tsv)"
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echo "location: ${LOCATION}"
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echo "resourceGroup: ${RESOURCE_GROUP}"
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echo "userAssignedIdentity: $(az identity show -n "${SERVICE_PRINCIPLE_NAME}" -g "${RESOURCE_GROUP}-identity" --query id --out tsv)"
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echo "userAssignedIdentity: $(az identity show -n "${SERVICE_PRINCIPAL_NAME}" -g "${RESOURCE_GROUP}-identity" --query id --out tsv)"
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echo "appClientID: $(jq -r '.appId' azureServiceAccountKey.json)"
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echo "clientSecretValue: $(jq -r '.password' azureServiceAccountKey.json)"
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```
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Fill in the printed out values to your configuration file.
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Fill the values produced by the script into your configuration file.
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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.
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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.
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If you decide to use [trusted launch VMs](../workflows/trusted-launch.md) instead, set **confidentialVM** to false. Afterward, you can use any VMs with a minimum of 4 vCPUs from the [Dav4 & Dasv4](https://docs.microsoft.com/en-us/azure/virtual-machines/dav4-dasv4-series) or [Eav4 & Easv4](https://docs.microsoft.com/en-us/azure/virtual-machines/eav4-easv4-series) families.
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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.
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Run `constellation config instance-types` to get the list of all supported options.
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For CVMs, any 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. It defaults to `Standard_DC4as_v5` (4 vCPUs, 16 GB RAM).
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If you decide to use [trusted launch VMs](../workflows/trusted-launch.md) instead, set **confidentialVM** to false. Afterward, you can use any VMs with a minimum of 4 vCPUs from the [Dav4 & Dasv4](https://docs.microsoft.com/en-us/azure/virtual-machines/dav4-dasv4-series) or [Eav4 & Easv4](https://docs.microsoft.com/en-us/azure/virtual-machines/eav4-easv4-series) families.
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Run `constellation config instance-types` to get the list of all supported options.
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* **resourceGroup**: [Create a new resource group in Azure](https://portal.azure.com/#create/Microsoft.ResourceGroup), to deploy your Constellation cluster into. Afterwards set the configuration field to the name of the created resource group, e.g., `constellation`.
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</tabItem>
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<tabItem value="gcp" label="GCP (CLI)">
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For a quick start it's recommended to use our `gcloud` script to automatically create all required resources:
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For a quick start it's recommended to use the following `gcloud` script to automatically create all required resources:
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```bash
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SERVICE_ACCOUNT_ID=constell # enter name of service account here
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echo "serviceAccountKeyPath: $(realpath gcpServiceAccountKey.json)"
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```
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Fill in the printed out values to your configuration file.
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Fill the values produced by the script into your configuration file.
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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 from the N2D family. Refer to [N2D machine series](https://cloud.google.com/compute/docs/general-purpose-machines#n2d_machines) or run `constellation config instance-types` to get the list of all supported options.
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</tabItem>
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</tabs>
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:::info
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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.
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:::
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3. Download the measurements for your configured image.
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```bash
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This command is necessary to download the latest trusted measurements for your configured image.
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For more details, see the [verification section](../workflows/verify.md).
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For more details, see the [verification section](../workflows/verify-cluster.md).
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4. Create the cluster with one control-plane node and two worker nodes. `constellation create` uses options set in `constellation-conf.yaml` automatically.
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Constellation runs entirely in your cloud environment and can be easily controlled via a dedicated Command Line Interface (CLI).
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The installation process will guide you through the steps of installing the CLI on your machine, verifying it, and connecting it to your Cloud Service Provider (CSP).
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The following guides you through the steps of installing the CLI on your machine, verifying it, and connecting it to your Cloud Service Provider (CSP).
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### Prerequisites
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Before we start, make sure the following requirements are fulfilled:
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Make sure the following requirements are met:
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- Your machine is running Ubuntu or macOS
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- Your machine is running Linux or macOS
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- You have admin rights on your machine
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- [kubectl](https://kubernetes.io/docs/tasks/tools/) is installed
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- Your cloud provider is Microsoft Azure or Google Cloud
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- Your cloud provider is Microsoft Azure or Google Cloud Platform (GCP)
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## Install the Constellation CLI
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The Constellation CLI can be downloaded from our [release page](https://github.com/edgelesssys/constellation/releases). Therefore, navigate to a release and download the `constellation` binary for your operating system and architecture. Move the downloaded file to a directory in your `PATH` (default: `/usr/local/bin`) and make it executable by entering `chmod u+x constellation` in your terminal.
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Download the CLI executable from the [release page](https://github.com/edgelesssys/constellation/releases). Move the downloaded file to a directory in your `PATH` (default: `/usr/local/bin`) and make it executable by entering `chmod u+x constellation` in your terminal.
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Running `constellation` should then give you:
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:::note
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Edgeless Systems uses [sigstore](https://www.sigstore.dev/) to sign each release of the CLI. You may want to [verify the signature](../workflows/verify-cli.md) before you use the CLI.
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:::
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```shell-session
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$ constellation
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Manage your Constellation cluster.
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Usage:
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constellation [command]
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...
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```
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### Optional: Enable shell autocompletion
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The Constellation CLI supports autocompletion for various shells. To set it up, run `constellation completion` and follow the steps.
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## Verify the CLI
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For extra security, make sure to verify your CLI. Therefore, install [cosign](https://github.com/sigstore/cosign). Then, head to our [release page](https://github.com/edgelesssys/constellation/releases) again and, from the same release as before, download the following files:
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- `cosign.pub` (Edgeless System's cosign public key)
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- `constellation-*.sig` (the CLI's signature)
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You can then verify your CLI before launching a cluster using the paths to the public key, signature, and CLI executable:
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```bash
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cosign verify-blob --key cosign.pub --signature constellation.sig constellation
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```
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For more detailed information read our [installation, update and verification documentation](../architecture/orchestration.md).
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:::tip
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The CLI supports autocompletion for various shells. To set it up, run `constellation completion` and follow the given steps.
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:::
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## Set up cloud credentials
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The CLI makes authenticated calls to the CSP API. Therefore, you need to set up Constellation with the credentials for your CSP.
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The CLI makes authenticated calls to the CSP API. Therefore, you need to set up Constellation with the credentials for your CSP. Currently, Microsoft Azure and Google Cloud Platform (GCP) are the only supported CSPs.
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### Authentication
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### Step 1: Authenticate
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In the following, we provide you with different ways to authenticate with your CSP.
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First, you need to authenticate with your CSP. The following lists the required steps for *testing* and *production* environments.
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:::danger
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Don't use the testing methods for setting up a production-grade Constellation cluster. In those methods, secrets are stored on disk during installation which would be exposed to the CSP.
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The steps for a *testing* environment are simpler. However, they may expose secrets to the CSP. If in doubt, follow the *production* steps.
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:::
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<tabs groupId="csp">
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**Testing**
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To try out Constellation, using a cloud environment such as [Azure Cloud Shell](https://docs.microsoft.com/en-us/azure/cloud-shell/overview) is the quickest way to get started.
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Simply open the [Azure Cloud Shell](https://docs.microsoft.com/en-us/azure/cloud-shell/overview).
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**Production**
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For production clusters, use the latest version of the [Azure CLI](https://docs.microsoft.com/en-us/cli/azure/) on a trusted machine:
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Use the latest version of the [Azure CLI](https://docs.microsoft.com/en-us/cli/azure/) on a trusted machine:
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```bash
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az login
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**Testing**
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- If you are running from within a Google VM, and the VM is allowed to access the necessary APIs, no further configuration is needed.
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If you are running from within VM on GCP, and the VM is allowed to access the necessary APIs, no further configuration is needed.
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- If you are using 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.
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If you are using 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.
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**Production**
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For production clusters, use one of the following options on a trusted machine:
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For production, use one of the following options on a trusted machine:
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- Use the [`gcloud` CLI](https://cloud.google.com/sdk/gcloud)
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gcloud auth application-default login
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```
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This will ask you to log in to your Google account, and then create your credentials.
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This will ask you to log-in to your Google account and create your credentials.
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The Constellation CLI will automatically load these credentials when needed.
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- Set up a service account and pass the credentials manually
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</tabItem>
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</tabs>
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### Authorization
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### Step 2: Set permissions
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Finally, set the required permissions for your user account.
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<tabs groupId="csp">
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<tabItem value="azure" label="Azure" default>
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Your user account needs the following permissions to set up a Constellation cluster:
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Set the following permissions:
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- `Contributor`
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- `User Access Administrator`
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</tabItem>
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<tabItem value="gcp" label="GCP" default>
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Your user account needs the following permissions to set up a Constellation:
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Set the following permissions:
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- `compute.*` (or the subset defined by `roles/compute.instanceAdmin.v1`)
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- `iam.serviceAccountUser`
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### Next Steps
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Once you have followed all previous steps, you can proceed [to deploy your first confidential Kubernetes cluster and application](first-steps.md).
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You are now ready to [deploy your first confidential Kubernetes cluster and application](first-steps.md).
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