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Redis 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 redisautoscaler crd.
Before You Begin
- You should be familiar with the following KubeDBconcepts:
How Compute Autoscaling Works
The following diagram shows how KubeDB Autoscaler operator autoscales the resources of Redis 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 - Redis/- RedisSentinelCustom Resource Object (CRO).
- KubeDBProvisioner operator watches the- Redis/- RedisSentinelCRO.
- When the operator finds a - Redis/- RedisSentinelCRO, it creates required number of- PetSetsand related necessary stuff like secrets, services, etc.
- Then, in order to set up autoscaling of the - Redisdatabase the user creates a- RedisAutoscalerCRO with desired configuration.
- Then, in order to set up autoscaling of the - RedisSentineldatabase the user creates a- RedisSentinelAutoscalerCRO with desired configuration.
- KubeDBAutoscaler operator watches the- RedisAutoscaler&&- RedisSentinelAutoscalerCRO.
- KubeDBAutoscaler operator generates recommendation using the modified version of kubernetes official recommender for the database, as specified in the- RedisAutoscaler/- RedisSentinelAutoscalerCRO.
- If the generated recommendation doesn’t match the current resources of the database, then - KubeDBAutoscaler operator creates a- RedisOpsRequest/- RedisSentinelOpsRequestCRO to scale the database to match the recommendation generated.
- KubeDBOps-manager operator watches the- RedisOpsRequest/- RedisSentinelOpsRequestCRO.
- Then the - KubeDBops-manager operator will scale the database component vertically as specified on the- RedisOpsRequest/- RedisSentinelOpsRequestCRO.
In the next docs, we are going to show a step-by-step guide on Autoscaling of various Redis database components using RedisAutoscaler/RedisSentinelAutoscaler CRD.































