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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 KubeDB concepts:
  • Redis
  • RedisAutoscaler
  • RedisOpsRequest

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:

1. At first, a user creates a Redis/RedisSentinel Custom Resource Object (CRO).

2. KubeDB Provisioner operator watches the Redis/RedisSentinel CRO.

3. When the operator finds a Redis/RedisSentinel CRO, it creates required number of StatefulSets and related necessary stuff like secrets, services, etc.

4. Then, in order to set up autoscaling of the Redis database the user creates a RedisAutoscaler CRO with desired configuration.

5. Then, in order to set up autoscaling of the RedisSentinel database the user creates a RedisSentinelAutoscaler CRO with desired configuration.

6. KubeDB Autoscaler operator watches the RedisAutoscaler && RedisSentinelAutoscaler CRO.

7. KubeDB Autoscaler operator generates recommendation using the modified version of kubernetes official recommender for the database, as specified in the RedisAutoscaler/RedisSentinelAutoscaler CRO.

8. If the generated recommendation doesn’t match the current resources of the database, then KubeDB Autoscaler operator creates a RedisOpsRequest/RedisSentinelOpsRequest CRO to scale the database to match the recommendation generated.

9. KubeDB Ops-manager operator watches the RedisOpsRequest/RedisSentinelOpsRequest CRO.

10. Then the KubeDB ops-manager operator will scale the database component vertically as specified on the RedisOpsRequest/RedisSentinelOpsRequest CRO.

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.