The Unified Database Operator for Kubernetes

Stop juggling multiple operators. KubeBlocks provides a single, production-grade control plane to run, manage, and scale any database—from MySQL and PostgreSQL to Kafka and MongoDB—with a unified API.

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Documentation Try KubeBlocks Online

3.0k Stars

262 Forks

v1.0.2

35+ Databases

Why KubeBlocks

Stop managing N operators for N databases

Every database you add shouldn't multiply your operational burden. KubeBlocks replaces operator sprawl with a single, unified control plane.

Without KubeBlocks

Operator Sprawl

N databases = N operators = N independent concerns

MySQL

MySQL Operator

BackupMonitorUpgrade

PostgreSQL

PostgreSQL Operator

BackupMonitorUpgrade

Redis

Redis Operator

BackupMonitorUpgrade

MongoDB

MongoDB Operator

BackupMonitorUpgrade

Kafka

Kafka Operator

BackupMonitorUpgrade

Operators to install

Concerns to manage

∞

Complexity as you scale

With KubeBlocks

One Control Plane

Any database. One operator. Zero sprawl.

MySQL

PostgreSQL

Redis

MongoDB

Kafka

KubeBlocks

Unified API · Single Control Plane

35+ EnginesUnified APIKubernetes NativeOpen Source

Backup & Recovery

Instant Backup

Point-in-Time Recovery

Delete Protection

Observability

Metrics & Logs

Slow SQL Analysis

Alert Rules

Lifecycle

Rolling Upgrade

Auto Failover

HA Architecture

Operator to install

Concerns to manage

Extra complexity when scaling

35+ Database Engines, One Operator

A unified API for all your databases — from relational to vector, message queue to object storage.

Relational

MySQL

PostgreSQL

NoSQL

Redis

MongoDB

etcd

ZooKeeper

Analytics

ClickHouse

StarRocks

Message Queue

Kafka

RabbitMQ

RocketMQ

Pulsar

Vector / Search

Milvus

Qdrant

ElasticSearch

Object Storage

MinIO

View all Add-ons

TRUSTED BY BIG PLAYERS

BONC Cloud

China Mobile Cloud

China Telecom Cloud

Tilaa

Ping An

KubeSphere

Powering Mission-Critical Data Infrastructure at Scale

See how industry leaders use KubeBlocks to cut costs, boost efficiency, and manage thousands of databases with ease.

China Mobile Cloud

DBaaS Platform

Qualitative Leapin R&D Efficiency

Building a Universal DBaaS Platform from Scratch

Faced with tight deadlines and limited headcount, China Mobile Cloud chose KubeBlocks to build a universal DBaaS platform supporting both RDS PostgreSQL and He3DB. By developing KubeBlocks Addons instead of building Operators from scratch, they instantly gained mature database orchestration capabilities.

Read the story

VIP.com

E-commerce · Multi-Engine

0+DB Clusters

0+Managed Nodes

Unifying Diverse Database Operations at Scale

VIP.com adopted KubeBlocks to unify operations for their internal MySQL, ElasticSearch, and Kafka databases. With over 1,000 clusters and 3,000 nodes under management, they now enjoy a consistent, automated operational experience across entirely different database engines.

Tiger Brokers

FinTech · GitOps

0%Infrastructure as Code

0+DB Types Managed

Automating Financial Data Infrastructure with GitOps

Tiger Brokers integrated KubeBlocks into their GitOps workflows. Using Infrastructure as Code, they seamlessly provision and manage MySQL, Redis, RabbitMQ, Kafka, and ZooKeeper, ensuring strict version control and rapid deployment.

Sealos

Developer Platform · Operational Efficiency

0+Database Instances

0Engineer Required

Managing 6,000+ Databases Without a DBA Team

By adopting KubeBlocks' declarative management and automated workflows, a single Kubernetes engineer — without a DBA background — now reliably manages over 6,000 database instances across four availability zones.

Read the story

Kuaishou

Social Media · Ultra-Large Scale

0+Pods per Redis Cluster

0×Resource Utilization

Automating Ultra-Large-Scale Redis Clusters Across Kubernetes

Kuaishou used KubeBlocks to build a custom federated architecture that seamlessly deploys Redis across multiple K8s clusters while hiding complexity from end-users — ultimately doubling resource utilization at unprecedented scale.

Read the story

Viktor Farcic

Viktor Farcic is a developer evangelist at Upbound and a Google Developer Expert, CDF Ambassador, and member of the Docker Captains team. Viktor Farcic is dedicated to promoting the latest DevOps technologies and is the host of the YouTube DevOps Toolkit channel.

"Whether or not to run a database on Kubernetes is a topic that is often discussed. From my perspective, if you're already using containers and don't want to use a fully managed database service, the answer is yes...... KubeBlocks is a very unique project that focuses on running multiple databases in Kubernetes. It doesn't necessarily seek to be the best solution for a particular database, but rather to be the best solution for a wide range of databases. It can be a great fit for Kubernetes users who want to migrate their databases to run on Kubernetes without wanting to lose control."

Viktor Farcic

Developer evangelist @upbound

Sergy Pronin

Sergey Pronin is a Product Owner at Percona, focused on delivering robust open source databases and cloud-native solutions. Prior to joining Percona, Sergey Pronin led product and engineering teams in other organizations, with a primary focus on products in the infrastructure and platform space.

"The minor version of KubeBlocks has a very short release cycle and is very actively developed...... I strongly believe that KubeBlocks' Addon concept and documentation on how to create Addon is what makes KubeBlocks have the most contributors...... KubeBlocks also provides support for AI, such as Xinference and MilvusDB, which are part of a modern large model technology stack."

Sergy Pronin

Product Owner @Percona

Why you need KubeBlocks

A Database Operator Born for Building a Unified Cloud-Native

Unified API

KubeBlocks provides a unified API for operating and managing different types of databases, significantly reducing the complexity and learning curve associated with database management. This standardized approach ensures that administrators can efficiently interact with various database systems in the same way, streamlining operations and improving productivity.

Extensible Addon

KubeBlocks' standardized API design provides robust extensibility, enabling low-code integration for both in-house and open-source databases. This approach eliminates the need for extensive custom Golang coding, turns your database knowledge into productivity efficiently, and significantly speeds up development times. KubeBlocks currently supports over 40 database engines. Welcome to join our community.

High Availability

KubeBlocks provides a decentralized, Kubernetes-native high availability architecture, perfect for managing large-scale database clusters, particularly MySQL and Redis primary-replica clusters. Its design enhances fault tolerance. Additionally, its lightweight nature reduces resource strain, boosting overall efficiency. This makes KubeBlocks highly effective for handling extensive database clusters.

Flexible Cluster Topology

KubeBlocks' modular design allows you to customize cluster topologies according to your needs. This flexibility lets you create database clusters tailored to specific requirements, enhancing system adaptability and functionality. For instance, when creating a Redis cluster, you can choose from single-node, primary-replica, and Redis Cluster topologies, and configure them with your preferred proxy components.

Versatile Network Modes

KubeBlocks offers multiple network modes, allowing you to select network configurations when creating database clusters. For example, MongoDB can be launched using host or container network modes. This flexibility ensures efficient communication and performance optimization across various environments, adapting to complex network architectures and requirements.

Beyond StatefulSet

KubeBlocks introduces InstanceSet, an improved StatefulSet that manages databases in a specific role order to enhance availability. Besides, InstanceSet supports heterogeneous replicas with varied resources and configurations, allows in-place Pod updates, and takes individual database instances offline for proactive maintenance.

Key Features & Benefits

KubeBlocks empowers DevOps and DBAs with a unified, scalable, and secure database operations experience on Kubernetes.

Intuitive CLI

Streamline operations with a user-friendly command-line interface for effortless database management.

Instant Backup

Safeguard your data with rapid, reliable backup capabilities.

Point-in-Time Recovery (PITR)

Restore databases to any specific moment with precision.

Delete Protection

Prevent accidental data loss with built-in safeguards.

Metrics & Logs

Gain deep visibility with comprehensive monitoring and logging.

Transport Layer Security (TLS)

Ensure secure data transmission with robust encryption.

Data-at-Rest Encryption

Protect sensitive information with encrypted storage.

Slow SQL Analysis

Identify and optimize inefficient queries for peak performance.

Automatic Failure Recovery

Minimize downtime with self-healing capabilities.

Up and Running in Minutes

Requires a running Kubernetes cluster and Helm 3.

MySQL

PostgreSQL

Redis

MongoDB

Kafka

35+ more →

Add Helm repo

helm repo add kubeblocks https://apecloud.github.io/helm-charts
helm repo update

Install KubeBlocks

Create a MySQL cluster

Verify

Want more databases? Browse the full documentation or explore all Add-ons.

Get started with KubeBlocks, with risk-free trial and migration support.

MySQL

PostgreSQL

Redis

Mongo

...

Start Now, at No Cost!

Explore KubeBlocks Insights

MySQL on Kubernetes Performance: A Benchmark of KubeBlocks, Percona, and Oracle Operators vs. Amazon RDS

Does running MySQL on Kubernetes degrade performance? This report answers the question with a detailed benchmark comparing KubeBlocks, Percona, and Oracle operators against Amazon RDS. We analyze throughput and latency, revealing how factors like parameter tuning and IOPS are the real performance drivers.

A Deep Dive into Troubleshooting and Resolving a SQL Server TCP Blackhole on an OKE Cluster

This article documents the entire process of troubleshooting and resolving a TCP blackhole issue discovered during SQL Server failover testing on an Oracle Kubernetes Engine (OKE) cluster. The problem caused long-lived connections to experience a "fake death" phenomenon after failover, taking about 15 minutes to recover.

Announcing KubeBlocks v1.0.2

This blog introduces major changes in KubeBlocks v1.0.2.

Building a Leading DBaaS Platform from 0 to 1: The KubeBlocks Practice of China Mobile Cloud Architect Ding Shun

Discover how China Mobile Cloud architect Ding Shun leveraged KubeBlocks to build a leading DBaaS platform from 0 to 1. Learn about the challenges they faced and how KubeBlocks helped them overcome them.