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PerconaXtraDB Compute Resource Autoscaling

This guide will give an overview on how KubeDB Autoscaler operator autoscales the database compute resources i.e. cpu and memory using perconaxtradbautoscaler crd.

Before You Begin

How Compute Autoscaling Works

The following diagram shows how KubeDB Autoscaler operator autoscales the resources of PerconaXtraDB database components. Open the image in a new tab to see the enlarged version.

  Auto Scaling process of PerconaXtraDB
Fig: Auto Scaling process of PerconaXtraDB

The Auto Scaling process consists of the following steps:

  1. At first, the user creates a PerconaXtraDB Custom Resource Object (CRO).

  2. KubeDB Community operator watches the PerconaXtraDB CRO.

  3. When the operator finds a PerconaXtraDB CRO, it creates required number of StatefulSets and related necessary stuff like secrets, services, etc.

  4. Then, in order to set up autoscaling of the CPU & Memory resources of the PerconaXtraDB database the user creates a PerconaXtraDBAutoscaler CRO with desired configuration.

  5. KubeDB Autoscaler operator watches the PerconaXtraDBAutoscaler CRO.

  6. KubeDB Autoscaler operator utilizes the modified version of Kubernetes official VPA-Recommender for different components of the database, as specified in the perconaxtradbautoscaler CRO. It generates recommendations based on resource usages, & store them in the status section of the autoscaler CRO.

  7. If the generated recommendation doesn’t match the current resources of the database, then KubeDB Autoscaler operator creates a PerconaXtraDBOpsRequest CRO to scale the database to match the recommendation provided by the VPA object.

  8. KubeDB Ops-Manager operator watches the PerconaXtraDBOpsRequest CRO.

  9. Lastly, the KubeDB Ops-Manager operator will scale the database component vertically as specified on the PerconaXtraDBOpsRequest CRO.

In the next docs, we are going to show a step by step guide on Autoscaling of PerconaXtraDB database using PerconaXtraDBAutoscaler CRD.