Runs canary pods and measures state changes in their lifecycle.
scheduler-canary-controller
is a Kubernetes controller that runs canary pods and measures state changes in their lifecycle.
Canary pods can be created using the monitoring.appuio.io.SchedulerCanary
custom resource. See samples for more information.
The canary pods are then tracked by the controller and the results are reported in the scheduler_canary_pod_.+
metrics.
You’ll need a Kubernetes cluster to run against. You can use KIND to get a local cluster for testing, or run against a remote cluster.
Note: Your controller will automatically use the current context in your kubeconfig file (i.e. whatever cluster kubectl cluster-info
shows).
- Install Instances of Custom Resources:
kubectl apply -f config/samples/
- Build and push your image to the location specified by
IMG
:
make docker-build docker-push IMG=<some-registry>/scheduler-canary:tag
- Deploy the controller to the cluster with the image specified by
IMG
:
make deploy IMG=<some-registry>/scheduler-canary:tag
To delete the CRDs from the cluster:
make uninstall
UnDeploy the controller to the cluster:
make undeploy
Submit Pull Requests at https://github.com/appuio/scheduler-canary-controller/pulls.
This project aims to follow the Kubernetes Operator pattern
It uses Controllers which provides a reconcile function responsible for synchronizing resources until the desired state is reached on the cluster
- Install the CRDs into the cluster:
make install
- Run your controller (this will run in the foreground, so switch to a new terminal if you want to leave it running):
make run
NOTE: You can also run this in one step by running: make install run
If you are editing the API definitions, generate the manifests such as CRs or CRDs using:
make manifests
NOTE: Run make --help
for more information on all potential make
targets
More information can be found via the Kubebuilder Documentation
Copyright 2022.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.