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Performance Addon Operator

Drone.io Status Coverage Status

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

alt text

The operator was created using the operator-sdk:

$ operator-sdk new performance-operator --repo github.com/openshift-kni/performance-addon-operators --vendor=true

PerformanceProfile

The PerformanceProfile CRD is the API of the performance operator and offers high level options for applying various performance tunings to cluster nodes. The API and its controller were created with:

operator-sdk add api --api-version=performance.openshift.io/v1alpha1 --kind=PerformanceProfile
operator-sdk add controller --api-version=performance.openshift.io/v1alpha1 --kind=PerformanceProfile

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

Developers can build and push the Performance Operator images from the source tree using make targets.

export REGISTRY_NAMESPACE=<your quay.io namespace>
export IMAGE_TAG=<the image tag to use> #defaults to "latest"
make build-containers
make push-containers

The building of the index image requires that the bundle image will be public available under the image registry, otherwise the creation of the index image will fail.

Building and pushing z-stream release

It is number of ENV variables that you should define to get all components to have the right z-stream version 4.y.z and allow the seamless upgrade.

export CSV_CHANNEL="4.y"
export CSV_VERSION="4.y.z"
export CSV_FROM_VERSION="4.y.z-1"
export IMAGE_TAG=4.x.y
export OPERATOR_VERSION=4.y.z
export CSV_SKIP_RANGE=">=4.y-1.0 <4.y.z
make build-containers
make push-containers

Deploying

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

If you want to use the performance operator's upstream images,

  • unset REGISTRY_NAMESPACE (it will default to openshift-kni)
  • if you deploy on OCP 4.4, run export IMAGE_TAG=v4.4
  • if you deploy on OCP 4.5, unset IMAGE_TAG (it will default to latest)

Deploy the operator by running:

CLUSTER=manual make cluster-deploy

This will deploy

  • a MachineConfigPool for the nodes which will be tuned
  • all manifests for letting OCP's Operator Lifecycle Manager (OLM) deploy the Performance Operator:
    • a CatalogSource
    • a Namespace
    • a OperatorGroup
    • a Subscription
  • a PerformanceProfile

Note: The performance operator supports only AllNamespaces InstallModeType for OperatorGroup.

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 cluster-setup/manual-cluster/performance/ kustomization directory. In CI the 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-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.

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 unittests.

Func tests

The functional tests are located in /functests. They can be executed with make functests-only on a cluster with a deployed Performance Operator 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 himself is running the oslat binary and verifies if the maximal latency returned by the oslat less than specified value under the OSLAT_MAXIMUM_LATENCY.

To run the latency test inside of the container:

docker run --rm -v /kubeconfig:/kubeconfig -e KUBECONFIG=/kubeconfig -e LATENCY_TEST_RUN=true -e LATENCY_TEST_RUNTIME=60 -e OSLAT_MAXIMUM_LATENCY=700 alukiano/latency-test:4.6-snapshot /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 and LATENCY_TEST_RUN=true to run the latency test.

  • 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_RUN indicates if the latency test should run.
  • 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.
  • OSLAT_MAXIMUM_LATENCY the expected maximum latency for all buckets in us.

Contributing

See CONTRIBUTING for some guidelines.

Building a custom CSV

A custom CSV entry for the registry container can be generated using the make generate-csv make target.

First export your CSV details as environment variables.

required options

export IMAGE_REGISTRY="quay.io"
export REGISTRY_NAMESPACE="some-operator=repo-namespace"
export IMAGE_TAG="some-operator-image-tag"
export CSV_VERSION="0.0.3"

optional options

export REPLACES_CSV_VERSION="0.0.2"
export CSV_SKIP_RANGE=">=0.0.1 <0.0.2"

Then run make generate-csv

The result will be stored in the deploy/olm-catalog/performance-addon-operator directory within a directory that matches the CSV_VERSION set.

Running make registry-container after creating a new custom CSV will result in a registry bundle that includes the new CSV version and all other CSV versions in the deploy/olm-catalog directory.