mirror of
https://github.com/edgelesssys/constellation.git
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192 lines
7.1 KiB
Markdown
192 lines
7.1 KiB
Markdown
# Perf-Bench
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## Continuous Benchmarking
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The Benchmark action runs performance benchmarks on Constellation clusters.
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The benchmark suite records storage and network benchmarks.
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After testing, the action compares the results of the benchmarks to previous results of Constellation on the same cloud provider. That way, it is possible to evaluate performance progression throughout the development.
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The data of previous benchmarks is stored in the private S3 artifact store.
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In order to support encrypted storage, the action deploys the [Azure CSI](https://github.com/edgelesssys/constellation-azuredisk-csi-driver) and [GCP CSI](https://github.com/edgelesssys/constellation-gcp-compute-persistent-disk-csi-driver) drivers.
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For the network benchmark we utilize the `knb` tool of the [k8s-bench-suite](https://github.com/InfraBuilder/k8s-bench-suite).
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For the storage benchmark we utilize [kubestr](https://github.com/kastenhq/kubestr) to run FIO tests.
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### Displaying Performance Progression
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The action creates a summary of the action and attaches it the workflow execution log.
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The table compares the current benchmark results of Constellation on the selected cloud provider to the previous records (of Constellation on the cloud provider).
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The hashes of the two commits that are the base for the comparison are prepended to the table.
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Example table:
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<details>
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- Commit of current benchmark: 8eb0a6803bc431bcebc2f6766ab2c6376500e106
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- Commit of previous benchmark: 8f733daaf5c5509f024745260220d89ef8e6e440
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| Benchmark suite | Metric | Current | Previous | Ratio |
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|-|-|-|-|-|
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| read_iops | iops (IOPS) | 213.6487 | 216.74684 | 0.986 ⬇️ |
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| write_iops | iops (IOPS) | 24.412066 | 18.051243 | 1.352 ⬆️ |
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| read_bw | bw_kbytes (KiB/s) | 28302.0 | 28530.0 | 0.992 ⬇️ |
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| write_bw | bw_kbytes (KiB/s) | 4159.0 | 2584.0 | 1.61 ⬆️ |
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| pod2pod | tcp_bw_mbit (MiB/s) | 20450.0 | 929.0 | 22.013 ⬆️ |
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| pod2pod | udp_bw_mbit (MiB/s) | 1138.0 | 750.0 | 1.517 ⬆️ |
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| pod2svc | tcp_bw_mbit (MiB/s) | 21188.0 | 905.0 | 23.412 ⬆️ |
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| pod2svc | udp_bw_mbit (MiB/s) | 1137.0 | 746.0 | 1.524 ⬆️ |
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</details>
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## Updating Stored Records
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### Managed Kubernetes
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One must manually update the stored benchmark records of managed Kubernetes:
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### AKS
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Follow the [Azure documentation](https://learn.microsoft.com/en-us/azure/aks/learn/quick-kubernetes-deploy-portal?tabs=azure-cli) to create an AKS cluster of desired benchmarking settings (region, instance types). If comparing against Constellation clusters with CVM instances, make sure to select the instance type on AKS as well.
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For example:
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```bash
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az aks create -g moritz-constellation -n benchmark --node-count 2 -s Standard_DC4as_v5
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az aks get-credentials -g moritz-constellation -n benchmark
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```
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Once the cluster is ready, set up managing access via `kubectl` and take the benchmark:
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```bash
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# Setup knb
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git clone https://github.com/InfraBuilder/k8s-bench-suite.git
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cd k8s-bench-suite
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install knb /usr/local/bin
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cd ..
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# Setup kubestr
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case "$(go env GOOS)" in "darwin") HOSTOS="MacOS";; *) HOSTOS="$(go env GOOS)";; esac
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HOSTARCH="$(go env GOARCH)"
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KUBESTR_VER=0.4.37
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curl -fsSLO https://github.com/kastenhq/kubestr/releases/download/v${KUBESTR_VER}/kubestr_${KUBESTR_VER}_${HOSTOS}_${HOSTARCH}.tar.gz
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tar -xzf kubestr_${KUBESTR_VER}_${HOSTOS}_${HOSTARCH}.tar.gz
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install kubestr /usr/local/bin
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# Clone Constellation
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git clone https://github.com/edgelesssys/constellation.git
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# Create storage class without cloud caching
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cat <<EOF | kubectl apply -f -
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apiVersion: storage.k8s.io/v1
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kind: StorageClass
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metadata:
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name: default-no-cache
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allowVolumeExpansion: true
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allowedTopologies: []
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mountOptions: []
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parameters:
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skuname: StandardSSD_LRS
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cachingMode: None
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provisioner: disk.csi.azure.com
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reclaimPolicy: Delete
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volumeBindingMode: WaitForFirstConsumer
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EOF
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# Run kubestr
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mkdir -p out
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kubestr fio -e "out/fio-AKS.json" -o json -s default -z 400Gi -f constellation/.github/actions/e2e_benchmark/fio.ini
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# Run knb
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workers="$(kubectl get nodes | grep nodepool)"
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server="$(echo $workers | head -1 | tail -1 |cut -d ' ' -f1|tr '\n' ' ')"
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client="$(echo $workers | head -2 | tail -1 |cut -d ' ' -f1|tr '\n' ' ')"
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knb -f "out/knb-AKS.json" -o json --server-node $server --client-node $client
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# Benchmarks done, do processing.
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# Parse
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mkdir -p benchmarks
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export BDIR=benchmarks
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export CSP=azure
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export EXT_NAME=AKS
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export BENCH_RESULTS=out/
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python constellation/.github/actions/e2e_benchmark/evaluate/parse.py
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# Upload result to S3
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S3_PATH=s3://edgeless-artifact-store/constellation/benchmarks/<version>
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aws s3 cp benchmarks/AKS.json ${S3_PATH}/AKS.json
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```
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### GKE
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Create a GKE cluster of desired benchmarking settings (region, instance types). If comparing against Constellation clusters with CVM instances, make sure to select the matching instance type on GKE.
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For example:
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```bash
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gcloud container clusters create benchmark \
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--zone europe-west3-b \
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--node-locations europe-west3-b \
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--machine-type n2d-standard-4 \
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--num-nodes 2
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gcloud container clusters get-credentials benchmark --region europe-west3-b
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```
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Once the cluster is ready, set up managing access via `kubectl` and take the benchmark:
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```bash
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# Setup knb
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git clone https://github.com/InfraBuilder/k8s-bench-suite.git
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cd k8s-bench-suite
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install knb /usr/local/bin
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cd ..
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# Setup kubestr
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case "$(go env GOOS)" in "darwin") HOSTOS="MacOS";; *) HOSTOS="$(go env GOOS)";; esac
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HOSTARCH="$(go env GOARCH)"
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KUBESTR_VER=0.4.37
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curl -fsSLO https://github.com/kastenhq/kubestr/releases/download/v${KUBESTR_VER}/kubestr_${KUBESTR_VER}_${HOSTOS}_${HOSTARCH}.tar.gz
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tar -xzf kubestr_${KUBESTR_VER}_${HOSTOS}_${HOSTARCH}.tar.gz
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install kubestr /usr/local/bin
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# Clone Constellation
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git clone https://github.com/edgelesssys/constellation.git
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# Run kubestr
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mkdir -p out
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kubestr fio -e "out/fio-GKE.json" -o json -s standard-rwo -z 400Gi -f constellation/.github/actions/e2e_benchmark/fio.ini
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# Run knb
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workers="$(kubectl get nodes | grep default-pool)"
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server="$(echo $workers | head -1 | tail -1 |cut -d ' ' -f1|tr '\n' ' ')"
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client="$(echo $workers | head -2 | tail -1 |cut -d ' ' -f1|tr '\n' ' ')"
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knb -f "out/knb-GKE.json" -o json --server-node "$server" --client-node "$client"
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# Parse
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mkdir -p benchmarks
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export BDIR=benchmarks
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export CSP=gcp
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export EXT_NAME=GKE
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export BENCH_RESULTS=out/
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python constellation/.github/actions/e2e_benchmark/evaluate/parse.py
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# Upload result to S3
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S3_PATH=s3://edgeless-artifact-store/constellation/benchmarks/<version>
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aws s3 cp benchmarks/GKE.json ${S3_PATH}/GKE.json
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```
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### Constellation
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The action updates the stored Constellation records for the selected cloud provider when running on the main branch.
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## Drawing Performance Charts
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The action also contains the code to draw graphs as used in the [Constellation docs](https://docs.edgeless.systems/constellation/next/overview/performance).
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The graphs compare the performance of Constellation to the performance of managed Kubernetes clusters.
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It expects the results of `[AKS.json, GKE.json, constellation-azure.json, constellation-gcp.json]` to be present in the `BDIR` folder.
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Graphs can thne be created from using the `graphs.py` script:
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```bash
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BDIR=benchmarks
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python ./graph.py
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```
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