The multi-cluster-app-dispatcher is a Kubernetes controller providing mechanisms for applications to manage batch jobs in a single or multi-cluster environment.
The multi-cluster-app-dispatcher (MCAD) controller is capable of (i) providing an abstraction for wrapping all resources of the job/application and treating them holistically, (ii) queuing job/application creation requests and applying different queuing policies, e.g., First In First Out, Priority, (iii) dispatching the job to one of multiple clusters, where a MCAD queuing agent runs, using configurable dispatch policies, and (iv) auto-scaling pod sets, balancing job demands and cluster availability (future work).
Follow the build instructions here to build the Multi-Cluster-App-Dispatcher controller.
Refer to deployment instructions here on how to deploy the multi-cluster-app-dispatcher as a controller in Kubernetes.
Alternatively, for a quick deployment, you can use the easy-deploy make target to build, push, and deploy your custom image of MCAD on your Kubernetes cluster:
make easy-deploy TAG=<image tag> USERNAME=<quay.io username>
Note: Ensure you are logged into your quay.io account on your local machine, and your kubeconfig is pointing to the cluster you want to deploy MCAD on.
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Run the mcad-release.yml action under
Actionsby entering the new release version in theRelease taginput field and clickRun workflow.
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Verify that mcad-release.yml action passed successfully. The workflow will Build and push the image to mcad-controller quay repository with specified release version tag and create GitHub release tag.
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Verify a new release is created on the Releases page.
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The latest release changes should also reflect in the mcad go package module.
Refer to the tutorial on how to use multi-cluster-app-dispatcher to run batch job in Kubernetes
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