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https://github.com/appuio/scheduler-canary-controller
https://github.com/appuio/scheduler-canary-controller
vshn-project-ocp
Last synced: 4 days ago
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- Host: GitHub
- URL: https://github.com/appuio/scheduler-canary-controller
- Owner: appuio
- Created: 2022-08-18T08:39:56.000Z (over 2 years ago)
- Default Branch: master
- Last Pushed: 2024-12-30T20:00:23.000Z (7 days ago)
- Last Synced: 2024-12-30T21:17:24.639Z (7 days ago)
- Topics: vshn-project-ocp
- Language: Go
- Homepage:
- Size: 302 KB
- Stars: 0
- Watchers: 7
- Forks: 0
- Open Issues: 11
-
Metadata Files:
- Readme: README.md
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README
# scheduler-canary-controller
Runs canary pods and measures state changes in their lifecycle.
## Description
`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](https://github.com/appuio/scheduler-canary-controller/tree/HEAD/config/samples) for more information.
The canary pods are then tracked by the controller and the results are reported in the [`scheduler_canary_pod_.+` metrics](https://github.com/appuio/scheduler-canary-controller/blob/HEAD/controllers/metrics.go).
## Getting Started
You’ll need a Kubernetes cluster to run against. You can use [KIND](https://sigs.k8s.io/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).
### Running on the cluster
1. Install Instances of Custom Resources:
```sh
kubectl apply -f config/samples/
```
2. Build and push your image to the location specified by `IMG`:
```sh
make docker-build docker-push IMG=/scheduler-canary:tag
```
3. Deploy the controller to the cluster with the image specified by `IMG`:
```sh
make deploy IMG=/scheduler-canary:tag
```
### Uninstall CRDs
To delete the CRDs from the cluster:
```sh
make uninstall
```
### Undeploy controller
UnDeploy the controller to the cluster:
```sh
make undeploy
```
## Contributing
Submit Pull Requests at https://github.com/appuio/scheduler-canary-controller/pulls.
### How it works
This project aims to follow the Kubernetes [Operator pattern](https://kubernetes.io/docs/concepts/extend-kubernetes/operator/)
It uses [Controllers](https://kubernetes.io/docs/concepts/architecture/controller/)
which provides a reconcile function responsible for synchronizing resources until the desired state is reached on the cluster
### Test It Out
1. Install the CRDs into the cluster:
```sh
make install
```
2. Run your controller (this will run in the foreground, so switch to a new terminal if you want to leave it running):
```sh
make run
```
**NOTE:** You can also run this in one step by running: `make install run`
### Modifying the API definitions
If you are editing the API definitions, generate the manifests such as CRs or CRDs using:
```sh
make manifests
```
**NOTE:** Run `make --help` for more information on all potential `make` targets
More information can be found via the [Kubebuilder Documentation](https://book.kubebuilder.io/introduction.html)
## License
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.