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This guide will give an overview on how KubeDB Autoscaler operator autoscales the database compute resources i.e. cpu and memory using mongodbautoscaler
crd.
KubeDB
concepts:The following diagram shows how KubeDB Autoscaler operator autoscales the resources of MongoDB
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, a user creates a MongoDB
Custom Resource Object (CRO).
KubeDB
Provisioner operator watches the MongoDB
CRO.
When the operator finds a MongoDB
CRO, it creates required number of StatefulSets
and related necessary stuff like secrets, services, etc.
Then, in order to set up autoscaling of the various components (ie. ReplicaSet, Shard, ConfigServer, Mongos, etc.) of the MongoDB
database the user creates a MongoDBAutoscaler
CRO with desired configuration.
KubeDB
Autoscaler operator watches the MongoDBAutoscaler
CRO.
KubeDB
Autoscaler operator generates recommendation using the modified version of kubernetes official recommender for different components of the database, as specified in the MongoDBAutoscaler
CRO.
If the generated recommendation doesn’t match the current resources of the database, then KubeDB
Autoscaler operator creates a MongoDBOpsRequest
CRO to scale the database to match the recommendation generated.
KubeDB
Ops-manager operator watches the MongoDBOpsRequest
CRO.
Then the KubeDB
Ops-manager operator will scale the database component vertically as specified on the MongoDBOpsRequest
CRO.
In the next docs, we are going to show a step by step guide on Autoscaling of various MongoDB database components using MongoDBAutoscaler
CRD.