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Postgres Storage Autoscaling

This guide will give an overview on how KubeDB Autoscaler operator autoscales the database storage using postgresautoscaler crd.

Before You Begin

How Storage Autoscaling Works

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

  Storage Auto Scaling process of Postgres
Fig: Storage Auto Scaling process of Postgres

The Auto Scaling process consists of the following steps:

  1. At first, a user creates a Postgres Custom Resource (CR).

  2. KubeDB Provisioner operator watches the Postgres CR.

  3. When the operator finds a Postgres CR, it creates required number of PetSets and related necessary stuff like secrets, services, etc.

  4. Each PetSet creates a Persistent Volume according to the Volume Claim Template provided in the petset configuration.

  5. Then, in order to set up storage autoscaling of the Postgres database the user creates a PostgresAutoscaler CRO with desired configuration.

  6. KubeDB Autoscaler operator watches the PostgresAutoscaler CRO.

  7. KubeDB Autoscaler operator continuously watches persistent volumes of the databases to check if it exceeds the specified usage threshold.

  8. If the usage exceeds the specified usage threshold, then KubeDB Autoscaler operator creates a PostgresOpsRequest to expand the storage of the database.

  9. KubeDB Ops-manager operator watches the PostgresOpsRequest CRO.

  10. Then the KubeDB Ops-manager operator will expand the storage of the database component as specified on the PostgresOpsRequest CRO.

In the next docs, we are going to show a step by step guide on Autoscaling storage of various Postgres database components using PostgresAutoscaler CRD.