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Performance Profile Controller

The Performance Profile Controller optimizes OpenShift clusters for applications sensitive to cpu and network latency.

"How Performance Addon Controller interacts with other components and operators"

PerformanceProfile

The PerformanceProfile CRD is the API of the Performance Profile Controller and offers high level options for applying various performance tunings to cluster nodes.

The performance profile API is documented in detail in the Performance Profile doc. Follow the API versions doc to check the supported API versions.

Building and pushing the operator images

TBD

Deploying

If you use your own images, make sure they are made public in your quay.io account!

Deploy a perfomance profile configuration by running:

CLUSTER=manual make cluster-deploy-pao

This will deploy

  • a MachineConfigPool for the nodes which will be tuned
  • a PerformanceProfile

The deployment will be retried in a loop until everything is deployed successfully, or until it times out.

Note: CLUSTER=manual lets the deploy script use the test/e2e/performanceprofile/cluster-setup/manual-cluster/performance/ kustomization directory. In CI the test/e2e/performanceprofile/cluster-setup/ci-cluster/performance/ dir will be used. The difference is that the CI cluster will deploy the PerformanceProfile in the test code, while the manual cluster includes it in the kustomize based deployment.

Now you need to label the nodes which should be tuned. This can be done with

make cluster-label-worker-cnf

This will label 1 worker node with the worker-cnf role, and OCP's Machine Config Operator will start tuning this node.

In order to wait until MCO is ready, you can watch the MachineConfigPool until it is marked as updated with

CLUSTER=manual make cluster-wait-for-pao-mcp

Note: Be aware this can take quite a while (many minutes)

Note: in CI this step is skipped, because the test code will wait for the MCP being up to date.

Render mode

The operator can render manifests for all the components it supposes to create, based on Given a PerformanceProfile

You need to provide the following environment variables

export ASSET_INPUT_DIR=<input path containing performance profile manifests>
export ASSET_OUTPUT_DIR=<output path for the rendered manifests>

Build and invoke the binary

_output/cluster-node-tuning-operator render

Or provide the variables via command line arguments

_output/cluster-node-tuning-operator render --asset-input-dir <path> --asset-output-dir <path>

Troubleshooting

When the deployment fails, or the performance tuning does not work as expected, follow the Troubleshooting Guide for debugging the cluster. Please provide as much info from troubleshooting as possible when reporting issues. Thanks!

Testing

Unit tests

Unit tests can be executed with make test-unit.

Func tests

The functional tests are located in /functests. They can be executed with make pao-functests-only on a cluster with a deployed Performance Profile Controller and configured MCP and nodes. It will create its own Performance profile!

Latency test

The latency-test container image gives the possibility to run the latency test without need to install go, ginkgo or other go related modules.

The test itself is running the oslat cyclictest and hwlatdetect binaries and verifies if the maximal latency returned by each one of the tools is less than specified value under the MAXIMUM_LATENCY.

To run the latency test inside the container:

docker run --rm -v /kubeconfig:/kubeconfig \
-e KUBECONFIG=/kubeconfig \
-e LATENCY_TEST_RUNTIME=60 \
-e MAXIMUM_LATENCY=700 \
 quay.io/openshift-kni/cnf-tests /usr/bin/run-tests.sh

You can run the container with different ENV variables, but the bare minimum is to pass KUBECONFIG mount and ENV variable, to give to the test access to the cluster.

  • LATENCY_TEST_DELAY indicates an (optional) delay in seconds to be used between the container is created and the tests actually start. Default is zero (start immediately).
  • LATENCY_TEST_RUNTIME the amount of time in seconds that the latency test should run.
  • LATENCY_TEST_IMAGE the image that used under the latency test.
  • LATECNY_TEST_CPUS the amount of CPUs the pod which run the latency test should request
  • OSLAT_MAXIMUM_LATENCY the expected maximum latency for all buckets in us in the oslat test.
  • CYCLICTEST_MAXIMUM_LATENCY the expected maximum latency for the cyclictest test.
  • HWLATDETECT_MAXIMUM_LATENCY the expected maximum latency for the hwlatdetect test.
  • MAXIMUM_LATENCY a unified value for the expected maximum latency for all tests (In case both provided, the specific variables will have precedence over the unified one).