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  • KubeDB

    Run Production-Grade Databases on Kubernetes

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    Stash

    Backup and Recovery Solution for Kubernetes

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    KubeVault

    Run Production-Grade Vault on Kubernetes

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    Voyager

    Secure HAProxy Ingress Controller for Kubernetes

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    ConfigSyncer

    Kubernetes Configuration Syncer

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    Guard

    Kubernetes Authentication WebHook Server

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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
    • task_altNative Kubernetes Support
    • task_altPerformance
    • task_altAvailability and durability
    • task_altManageability
    • task_altCost-effectiveness
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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
    • task_altBackup Kubernetes Volumes
    • task_altBackup Database
    • task_altMultiple Storage Support
    • task_altDeduplication
    • task_altData Encryption
    • task_altVolume Snapshot
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    KubeVault

    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
    • task_altVault Backup & Restore
    • task_altConsume KubeVault Secrets with CSI
    • task_altManage DB Users Privileges
    • task_altStorage Backend
    • task_altAuthentication Method
    • 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 Compute Resource Autoscaling

This guide will give an overview on how the KubeDB Autoscaler operator autoscales the database compute resources i.e. cpu and memory using elasticsearchautoscaler crd.

Before You Begin

How Compute Autoscaling Works

The Auto Scaling process consists of the following steps:

  1. At first, a user creates an Elasticsearch Custom Resource Object (CRO).

  2. KubeDB Community operator watches the Elasticsearch CRO.

  3. When the operator finds an Elasticsearch 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 various nodes (ie. master, data, ingest, etc.) of the Elasticsearch database the user creates an ElasticsearchAutoscaler CRO with desired configuration.

  5. KubeDB Autoscaler operator watches the ElasticsearchAutoscaler CRO.

  6. KubeDB Autoscaler operator creates required number of Vertical Pod Autoscaler VPA for different components of the database, as specified in the elasticsearchautoscaler CRO.

  7. Then KubeDB Autoscaler operator continuously watches the VPA objects for the recommendation.

  8. If the VPA generated recommendation doesn’t match the current resources of the database, then the KubeDB Autoscaler operator creates an ElasticsearchOpsRequest CRO to scale the database to match the recommendation provided by the VPA object.

  9. KubeDB Enterprise operator watches the ElasticsearchOpsRequest CRO.

  10. Then the KubeDB Enterprise operator will scale the database component vertically as specified on the ElasticsearchOpsRequest CRO.

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

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