ScyllaDB Operator

Easily Manage Your ScyllaDB Cluster on Kubernetes

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Overview

ScyllaDB Operator is an open-source project that gives ScyllaDB Open Source and ScyllaDB Enterprise  users an easy way to run and manage ScyllaDB via Kubernetes. The ScyllaDB Operator automates the NoSQL cluster deployment process and tasks related to operating a ScyllaDB cluster, such as scaling, backup, auto-healing, rolling configuration changes, upgrades, and more.

Why Run a NoSQL Database on Kubernetes?

Kubernetes is the industry standard for production-grade cloud orchestration. As a project, it graduated from the Cloud Native Computing Foundation (CNCF), whose mission is to build sustainable ecosystems for cloud-native software.

By running a database in Kubernetes, administrative operations can all use the same standard across cloud providers, so that your applications, your NoSQL database, and all related infrastructure can be deployed and managed using a common set of tools, protocols, and processes.

ScyllaDB Kubernetes Operator Features

Cluster Deployment Options

Choose from a variety of ScyllaDB cluster deployment options on a generic Kubernetes cluster, or choose performance-optimized deployment with Google Kubernetes Engine (GKE) or Elastic Kubernetes Service (Amazon EKS, experimental).

Kubernetes cluster

GKE

GKE

EKS

EKS (experimental)

Multi-AZ Support

ScyllaDB Operator helps to ensure high availability by deploying ScyllaDB clusters across multiple availability zones (AZs).

ScyllaDB-Kubernetes-Operator-1

Multi-Cluster Support

Deploy and manage multiple ScyllaDB clusters at the same time with the ScyllaDB Operator.

ScyllaDB-Kubernetes-Operator-cluster-1

Scaling Operations

Safely and easily scale up your cluster or add new racks, or reduce your cluster size by scaling down.

kubernetes-scaling-operations

Rolling Config Changes

Simplifying the configuration changes process with the automatic rollout, ScyllaDB Operator will apply config changes and restart nodes in your NoSQL cluster one by one.

kubernetes-rolling-config-change

Rolling Upgrades

Upgrade your ScyllaDB cluster to the next major, minor, or patch version with a simple change to the config file. ScyllaDB Operator will perform a drain of each node, full data backups to prevent data loss, installation of the image update, and validation of the upgrade – all transparent to the current data traffic.

kubernetes-rolling-scylla-upgrade

Auto Healing

Failed node? No problem! ScyllaDB Operator will automatically replace any down node without user intervention.

kubernetes-auto-healing

Repair and Backup

ScyllaDB Operator is fully integrated with ScyllaDB Manager (NoSQL database management system). It allows you to granularly manage the repair and backup processes to AWS S3 or Google Cloud Storage with a simple change of ScyllaDB cluster definition.

Cluster Monitoring

Monitor your cluster health and performance in real time with ScyllaDB Monitoring Stack, which is based on Prometheus and Grafana.

Grafana Dashboards
Repair-and-Backup

Helm Charts

Customize the deployment of your ScyllaDB cluster, ScyllaDB Manager and ScyllaDB Monitoring Stack on your Kubernetes environment with Helm Charts.

kubernetes-helm

Resources

Learn More about Combining the Power of ScyllaDB and Kubernetes

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Get Started

Download ScyllaDB Operator for ScyllaDB Open Source

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Documentation

ScyllaDB Operator

Read the documentation for additional information to get started.

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Training

ScyllaDB University

Take self-paced training on ScyllaDB Operator at ScyllaDB University

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News

Read About It

Container Journal article “ScyllaDB Adds Kubernetes Operator to NoSQL Database”

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Webinar

Watch the Talk

Learn the basics in our webinar Getting Started with ScyllaDB on Kubernetes

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GitHub

Get the Code

Grab the latest source code, builds, and detailed quick start instructions.

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2024 ©ScyllaDB | ScyllaDB, and ScyllaDB Cloud, are registered trademarks of ScyllaDB, Inc.

Apache® and Apache Cassandra® are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. Amazon DynamoDB® and Dynamo Accelerator® are trademarks of Amazon.com, Inc. No endorsements by The Apache Software Foundation or Amazon.com, Inc. are implied by the use of these marks.