mirror of
https://github.com/edgelesssys/constellation.git
synced 2024-09-07 18:12:01 +00:00
docs: move compute benchmarks to own page
This commit is contained in:
parent
529eab2bf9
commit
1826801f0a
@ -51,7 +51,7 @@ Encrypting your K8s is good for:
|
||||
|
||||
* High availability with multi-master architecture and stacked etcd topology
|
||||
* Dynamic cluster autoscaling with verification and secure bootstrapping of new nodes
|
||||
* Competitive performance ([see K-Bench comparison with AKS and GKE][performance])
|
||||
* Competitive [performance]
|
||||
|
||||
### 🧩 Easy to use and integrate
|
||||
|
||||
|
11
docs/docs/overview/performance/compute.md
Normal file
11
docs/docs/overview/performance/compute.md
Normal file
@ -0,0 +1,11 @@
|
||||
# Impact of runtime encryption on compute 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.
|
@ -1,18 +1,10 @@
|
||||
# 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.
|
||||
This section provides a comprehensive examination of the performance characteristics of Constellation.
|
||||
|
||||
## Impact of runtime encryption on performance
|
||||
## Runtime encryption
|
||||
|
||||
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.
|
||||
Runtime encryption affects compute performance. [Benchmarks by Azure and Google](compute.md) show that the performance degradation of Confidential VMs (CVMs) is small, ranging from 2% to 8% for compute-intensive workloads.
|
||||
|
||||
## I/O performance benchmarks
|
||||
|
||||
|
@ -55,6 +55,11 @@ const sidebars = {
|
||||
label: 'Performance',
|
||||
link: { type: 'doc', id: 'overview/performance/performance' },
|
||||
items: [
|
||||
{
|
||||
type: 'doc',
|
||||
label: 'Compute benchmarks',
|
||||
id: 'overview/performance/compute',
|
||||
},
|
||||
{
|
||||
type: 'doc',
|
||||
label: 'I/O benchmarks',
|
||||
|
Loading…
Reference in New Issue
Block a user