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ProxySQL 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 proxysqlautoscaler crd.

Before You Begin

• You should be familiar with the following KubeDB concepts:
  • ProxySQL
  • ProxySQLAutoscaler
  • ProxySQLOpsRequest

How Compute Autoscaling Works

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

  

The Auto Scaling process consists of the following steps:

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

2. KubeDB Community operator watches the ProxySQL CRO.

3. When the operator finds a ProxySQL 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 ProxySQL database the user creates a ProxySQLAutoscaler CRO with desired configuration.

5. KubeDB Autoscaler operator watches the ProxySQLAutoscaler CRO.

6. KubeDB Autoscaler operator utilizes the modified version of Kubernetes official VPA-Recommender for different components of the database, as specified in the proxysqlautoscaler 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 ProxySQLOpsRequest CRO to scale the database to match the recommendation provided by the VPA object.

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

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

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