New to KubeDB? Please start here.
Hazelcast Vertical Scaling Overview
This guide will give you an overview on how KubeDB Ops Manager updates the resources(CPU and Memory) of the Hazelcast
database.
Before You Begin
- You should be familiar with the following
KubeDB
concepts:
How Vertical Scaling Process Works
The following diagram shows how KubeDB Ops Manager updates the resources of the Hazelcast
database. Open the image in a new tab to see the enlarged version.
The updating process consists of the following steps:
At first, a user creates a
Hazelcast
Custom Resource (CR).KubeDB
Community operator watches theHazelcast
CR.When the operator finds a
Hazelcast
CR, it creates required number ofStatefulSets
and related necessary stuff like appbinding, services, etc.Then, in order to update the resources of the
Hazelcast
database the user creates aHazelcastOpsRequest
CR with the desired resources.KubeDB
Enterprise operator watches theHazelcastOpsRequest
CR.When it finds a
HazelcastOpsRequest
CR, it halts theHazelcast
object which is referred from theHazelcastOpsRequest
. So, theKubeDB
Community operator doesn’t perform any operations on theHazelcast
object during the updating process.Then the
KubeDB
Enterprise operator will update the resources of the related PetSets to match the desired resources defined in theHazelcastOpsRequest
CR.After the successful update of the resources of the StatefulSet’s replicas, the
KubeDB
Enterprise operator updates theHazelcast
object to reflect the updated state.After successfully updating of
Hazelcast
object, theKubeDB
Enterprise operator resumes theHazelcast
object so that theKubeDB
Community operator can resume its usual operations.
In the next doc, we are going to show a step-by-step guide on vertical scaling of a Hazelcast database using vertical scaling operation.