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  • KubeDB

    Run Production-Grade Databases on Kubernetes

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    Backup and Recovery Solution for Kubernetes

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    Run Production-Grade Vault on Kubernetes

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    Secure HAProxy Ingress Controller for Kubernetes

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    Kubernetes Configuration Syncer

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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

    • task_altLower administrative burden
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    Stash

    A complete Kubernetes native disaster recovery solution for backup and restore your volumes and databases in Kubernetes on any public and private clouds.

    • task_altDeclarative API
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    • task_altMultiple Storage Support
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    KubeVault is a Git-Ops ready, production-grade solution for deploying and configuring Hashicorp's Vault on Kubernetes.

    • task_altVault Kubernetes Deployment
    • task_altAuto Initialization & Unsealing
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    • task_altConsume KubeVault Secrets with CSI
    • task_altManage DB Users Privileges
    • task_altStorage Backend
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    • task_altDatabase Secret Engine
    Voyager

    Secure HAProxy Ingress Controller for Kubernetes

    • task_altHTTP & TCP
    • task_altSSL
    • task_altPlatform support
    • task_altHAProxy
    • task_altPrometheus
    • task_altLet's Encrypt
    configsyncer

    Kubernetes Configuration Syncer

    • task_altConfiguration Syncer
    Guard

    Kubernetes Authentication WebHook Server

    • task_altIdentity Providers
    • task_altCLI
    • task_altRBAC
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You are looking at the documentation of a prior release. To read the documentation of the latest release, please visit here.

New to KubeDB? Please start here.

Elasticsearch Storange Autoscaling

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

Before You Begin

How Storage Autoscaling Works

The Auto Scaling process consists of the following steps:

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

  2. KubeDB Community operator watches the Elasticsearch CR.

  3. When the operator finds a Elasticsearch 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. This Persistent Volume will be expanded by the KubeDB Enterprise operator.

  5. Then, to set up storage autoscaling of the various nodes (ie. master, data, ingest, etc.) of the Elasticsearch cluster the user creates a ElasticsearchAutoscaler CRO with the desired configuration.

  6. KubeDB Autoscaler operator watches the ElasticsearchAutoscaler CRO.

  7. KubeDB Autoscaler operator continuously watches persistent volumes of the databases to check if it exceeds the specified usage threshold.

  8. If the usage exceeds the specified usage threshold, then KubeDB Autoscaler operator creates a ElasticsearchOpsRequest to expand the storage of the database.

  9. KubeDB Enterprise operator watches the ElasticsearchOpsRequest CRO.

  10. Then the KubeDB Enterprise operator will expand the storage of the database component as specified on the ElasticsearchOpsRequest CRO.

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

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