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Druid Vertical Scaling

This guide will give an overview on how KubeDB Ops-manager operator updates the resources(for example CPU and Memory etc.) of the Druid.

Before You Begin

How Vertical Scaling Process Works

The following diagram shows how KubeDB Ops-manager operator updates the resources of the Druid. Open the image in a new tab to see the enlarged version.

  Vertical scaling process of Druid
Fig: Vertical scaling process of Druid

The vertical scaling process consists of the following steps:

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

  2. KubeDB Provisioner operator watches the Druid CR.

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

  4. Then, in order to update the resources(for example CPU, Memory etc.) of the Druid cluster, the user creates a DruidOpsRequest CR with desired information.

  5. KubeDB Ops-manager operator watches the DruidOpsRequest CR.

  6. When it finds a DruidOpsRequest CR, it halts the Druid object which is referred from the DruidOpsRequest. So, the KubeDB Provisioner operator doesn’t perform any operations on the Druid object during the vertical scaling process.

  7. Then the KubeDB Ops-manager operator will update resources of the PetSet Pods to reach desired state.

  8. After the successful update of the resources of the PetSet’s replica, the KubeDB Ops-manager operator updates the Druid object to reflect the updated state.

  9. After the successful update of the Druid resources, the KubeDB Ops-manager operator resumes the Druid object so that the KubeDB Provisioner operator resumes its usual operations.

In the next docs, we are going to show a step by step guide on updating resources of Druid database using DruidOpsRequest CRD.