Add Horizontal Pod Autoscaler (HPA) Support for Airflow API Server #52392
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1. add hpa ymal 2. add hpa schema into values.schema
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Description:
This pull request introduces Horizontal Pod Autoscaler (HPA) support for the Airflow API server in the Helm chart, enabling automatic scaling of API server pods based on resource utilization or custom metrics. The changes enhance the chart's flexibility and scalability, allowing users to configure autoscaling for the API server to handle varying workloads efficiently.
Changes:
Created
chart/templates/api-server/api-server-hpa.yamlto define the HPA resource for the API server.Modified
chart/values.schema.jsonto include a new hpa section under apiServer.Added HPA configuration in
chart/values.yamlunder apiServer.hpa with sensible defaultsIntroduced
helm-tests/tests/helm_tests/apiserver/test_hpa_apiserver.pyto validate HPA behaviorHow to Test:
apiServer.hpa.enabled=trueand verify the HPA resource is created with default settings.minReplicaCount,maxReplicaCount,metrics, orbehaviorin values.yaml and confirm the HPA resource reflects the changes.helm-tests/tests/helm_tests/apiserver/test_hpa_apiserver.pyto validate logic.Additional Notes:
Included deployment and HPA status screenshot from kubectl displaying an Airflow API server deployment with 4 pods running.
Related Issues:
#51935
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