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    KubeDB

    KubeDB simplifies Provision, Upgrade, Scaling, Volume Expansion, Monitor, Backup, Restore for various Databases in Kubernetes on any Public & Private Cloud

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New to KubeDB? Please start here.

Redis Vertical Autoscaling

This guide will give an overview on how KubeDB Autoscaler operator autoscales the database storage using redisautoscaler crd.

Before You Begin

How Storage 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.

  Storage Auto Scaling process of Redis
Fig: Storage Auto Scaling process of Redis

The Auto Scaling process consists of the following steps:

  1. At first, a user creates a Redis Custom Resource (CR).

  2. KubeDB Provisioner operator watches the Redis CR.

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

  4. Each StatefulSet creates a Persistent Volume according to the Volume Claim Template provided in the statefulset configuration.

  5. Then, in order to set up storage autoscaling of the various components (ie. ReplicaSet, Shard, ConfigServer etc.) of the Redis database the user creates a RedisAutoscaler CRO with desired configuration.

  6. KubeDB Autoscaler operator watches the RedisAutoscaler CRO.

  7. KubeDB Autoscaler operator continuously watches persistent volumes of the databases to check if it exceeds the specified usage threshold. If the usage exceeds the specified usage threshold, then KubeDB Autoscaler operator creates a RedisOpsRequest to expand the storage of the database.

  8. KubeDB Ops-manager operator watches the RedisOpsRequest CRO.

  9. Then the KubeDB Ops-manager operator will expand the storage of the database component as specified on the RedisOpsRequest CRO.

In the next docs, we are going to show a step-by-step guide on Autoscaling storage of various Redis database components using RedisAutoscaler CRD.

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