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MySQL 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 mysqlautoscaler crd.

Before You Begin

• You should be familiar with the following KubeDB concepts:
  • MySQL
  • MySQLAutoscaler
  • MySQLOpsRequest

How Compute Autoscaling Works

The following diagram shows how KubeDB Autoscaler operator autoscales the resources of MySQL 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 MySQL Custom Resource Object (CRO).

2. KubeDB Community operator watches the MySQL CRO.

3. When the operator finds a MySQL 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 MySQL database the user creates a MySQLAutoscaler CRO with desired configuration.

5. KubeDB Autoscaler operator watches the MySQLAutoscaler CRO.

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

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

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

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