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SingleStore Vertical Autoscaling

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

Before You Begin

How Storage Autoscaling Works

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

  Storage Auto Scaling process of SingleStore
Fig: Storage Auto Scaling process of SingleStore

The Auto Scaling process consists of the following steps:

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

  2. KubeDB Provisioner operator watches the SingleStore CR.

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

  • Each PetSet creates a Persistent Volume according to the Volume Claim Template provided in the petset configuration.
  1. Then, in order to set up storage autoscaling of the various components (ie. Aggregator, Leaf, Standalone.) of the singlestore cluster, the user creates a SingleStoreAutoscaler CRO with desired configuration.

  2. KubeDB Autoscaler operator watches the SingleStoreAutoscaler CRO.

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

  • If the usage exceeds the specified usage threshold, then KubeDB Autoscaler operator creates a SinglestoreOpsRequest to expand the storage of the database.
  1. KubeDB Ops-manager operator watches the SinglestoreOpsRequest CRO.

  2. Then the KubeDB Ops-manager operator will expand the storage of the cluster component as specified on the SinglestoreOpsRequest CRO.

In the next docs, we are going to show a step by step guide on Autoscaling storage of various Kafka cluster components using SinglestoreAutoscaler CRD.