Kubernetes Horizontal Pod Autoscaler: Difference between revisions
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=HPA Manifest= | =HPA Manifest= | ||
{{Internal|Kubernetes Horizontal Pod Autoscaler Manifest|Horizontal Pod Autoscaler Manifest}} | {{Internal|Kubernetes Horizontal Pod Autoscaler Manifest|Horizontal Pod Autoscaler Manifest}} | ||
=Operations= | =Operations= | ||
* [[Horizontal_Pod_Autoscaler_Operations#Create_an_Autoscaler|Create an autoscaler.]] | * [[Horizontal_Pod_Autoscaler_Operations#Create_an_Autoscaler|Create an autoscaler.]] | ||
Revision as of 02:57, 7 October 2020
External
- https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/
- https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale-walkthrough/
- https://towardsdatascience.com/kubernetes-hpa-with-custom-metrics-from-prometheus-9ffc201991e
- https://github.com/kubernetes/community/blob/master/contributors/design-proposals/instrumentation/custom-metrics-api.md
Internal
Overview
Horizontal pod autoscaling is the automatic increase or decrease the number of pod replicas managed by a higher level controller that supports scaling (deployments, replica sets, stateful sets).. The scaling is performed by a horizontal controller and it is controlled by a horizontal pod autoscaler Kubernetes API resource. For an horizontal pod autoscaler to work correctly, a source of metrics, in particular resource metrics, must be deployed. The simplest source of resource metrics is the metrics server.