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PerconaXtraDB Compute Resource Autoscaling
This guide will give an overview on how KubeDB Autoscaler operator autoscales the database compute resources i.e. cpu and memory using perconaxtradbautoscaler
crd.
Before You Begin
- You should be familiar with the following
KubeDB
concepts:
How Compute Autoscaling Works
The following diagram shows how KubeDB Autoscaler operator autoscales the resources of PerconaXtraDB
database components. Open the image in a new tab to see the enlarged version.
The Auto Scaling process consists of the following steps:
At first, the user creates a
PerconaXtraDB
Custom Resource Object (CRO).KubeDB
Community operator watches thePerconaXtraDB
CRO.When the operator finds a
PerconaXtraDB
CRO, it creates required number ofPetSets
and related necessary stuff like secrets, services, etc.Then, in order to set up autoscaling of the CPU & Memory resources of the
PerconaXtraDB
database the user creates aPerconaXtraDBAutoscaler
CRO with desired configuration.KubeDB
Autoscaler operator watches thePerconaXtraDBAutoscaler
CRO.KubeDB
Autoscaler operator utilizes the modified version of Kubernetes official VPA-Recommender for different components of the database, as specified in theperconaxtradbautoscaler
CRO. It generates recommendations based on resource usages, & store them in thestatus
section of the autoscaler CRO.If the generated recommendation doesn’t match the current resources of the database, then
KubeDB
Autoscaler operator creates aPerconaXtraDBOpsRequest
CRO to scale the database to match the recommendation provided by the VPA object.KubeDB Ops-Manager operator
watches thePerconaXtraDBOpsRequest
CRO.Lastly, the
KubeDB Ops-Manager operator
will scale the database component vertically as specified on thePerconaXtraDBOpsRequest
CRO.
In the next docs, we are going to show a step by step guide on Autoscaling of PerconaXtraDB database using PerconaXtraDBAutoscaler
CRD.