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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
- You should be familiar with the following
KubeDBconcepts:
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.
The Auto Scaling process consists of the following steps:
At first, a user creates a
SingleStoreCustom Resource (CR).KubeDBProvisioner operator watches theSingleStoreCR.When the operator finds a
SingleStoreCR, it creates required number ofPetSetsand related necessary stuff like secrets, services, etc.
- Each PetSet creates a Persistent Volume according to the Volume Claim Template provided in the petset configuration.
Then, in order to set up storage autoscaling of the various components (ie. Aggregator, Leaf, Standalone.) of the
singlestorecluster, the user creates aSingleStoreAutoscalerCRO with desired configuration.KubeDBAutoscaler operator watches theSingleStoreAutoscalerCRO.KubeDBAutoscaler 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
KubeDBAutoscaler operator creates aSinglestoreOpsRequestto expand the storage of the database.
KubeDBOps-manager operator watches theSinglestoreOpsRequestCRO.Then the
KubeDBOps-manager operator will expand the storage of the cluster component as specified on theSinglestoreOpsRequestCRO.
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.






























