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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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.
Developer evangelist @upbound
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.
Product Owner @Percona
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.
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.
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.
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.
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.
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.
Streamline operations with a user-friendly command-line interface for effortless database management.
Safeguard your data with rapid, reliable backup capabilities.
Restore databases to any specific moment with precision.
Prevent accidental data loss with built-in safeguards.
Gain deep visibility with comprehensive monitoring and logging.
Ensure secure data transmission with robust encryption.
Protect sensitive information with encrypted storage.
Identify and optimize inefficient queries for peak performance.
Minimize downtime with self-healing capabilities.
MySQL
PostgreSQL
Redis
Mongo
...