Michał Maślanka introduces the design of Redpanda’s Multi-Region feature, and describes how they leveraged Raft’s properties, a constraint solver, automatic data balancing, and tiered storage.

InfoQ is a leading online platform for software developers, architects, and technical leaders, providing news, articles, presentations, and interviews on a wide range of topics, including agile practices, DevOps, microservices, and emerging technologies. With a focus on quality content and expert insights, InfoQ helps professionals stay informed about the latest trends, best practices, and industry developments. Developers can learn from real-world experiences, gain  knowledge, and connect with peers in the global software community through InfoQ's diverse and engaging content.

InfoQ

Organizations need to create multi-region data applications for increased resilience, disaster recovery capabilities, scalability, performance, and data sovereignty. Redpanda handles multi-region capabilities through stretched Raft, hierarchical constraints solver, tiered storage, leadership preference, reading from follower replica, automatic partition data balancing, and future plans for read-only non-voting replicas and peer-to-peer replication.

Multi-Region Data Streaming with Redpanda

Example Deployment of Multi-Region Partition