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RabbitMQ 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 RabbitMQ database.

Before You Begin

• You should be familiar with the following KubeDB concepts:
  • RabbitMQ
  • RabbitMQOpsRequest

How Vertical Scaling Process Works

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

The vertical scaling process consists of the following steps:

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

2. KubeDB Provisioner operator watches the RabbitMQ CR.

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

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

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

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

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

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

9. After the successful update of the RabbitMQ resources, the KubeDB Ops-manager operator resumes the RabbitMQ 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 RabbitMQ database using RabbitMQOpsRequest CRD.