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FerretDB 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 FerretDB.

Before You Begin

How Vertical Scaling Process Works

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

  Vertical scaling process of FerretDB
Fig: Vertical scaling process of FerretDB

The vertical scaling process consists of the following steps:

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

  2. KubeDB Provisioner operator watches the FerretDB CR.

  3. When the operator finds a FerretDB CR, it creates PetSet and related necessary stuff like secrets, services, etc.

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

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

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

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

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

  9. After the successful update of the FerretDB resources, the KubeDB Ops-manager operator resumes the FerretDB 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 FerretDB FerretDBOpsRequest CRD.