A comprehensive guide to Apache Kafka disaster recovery and multi-region architectures. Covers why in-cluster replication alone is insufficient for regional failures, and how to define RPO and RTO requirements before choosing an architecture. Explains four main DR patterns: active-passive (asynchronous replication, simplest), active-active (bidirectional replication, near-zero RTO), 3-DC stretched clusters (synchronous, RPO/RTO near zero but latency-sensitive), and 2.5-DC with Confluent observer replicas (quorum tiebreaker with lower infrastructure cost). Compares replication mechanisms including MirrorMaker 2, Confluent Replicator, and Cluster Linking, highlighting offset management challenges. Also covers data loss scenarios during failback, prevention strategies including controlled replay windows, and a structured approach to DR testing from partial failures up to full region outages.

20m read timeFrom softwaremill.com
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Table of contents
Kafka as a Critical Infrastructure ComponentWhy Kafka Disaster Recovery and Multi-Region MatterThe Real Cost of DowntimeStart with Business Requirements: RPO and RTOKafka Replication FundamentalsOverview of Kafka Disaster Recovery ArchitecturesKafka Multi-Region Replication MechanismsOffsets and Disaster RecoveryTesting Kafka Disaster RecoverySummary and Key TakeawaysNeed Help Designing or Validating Your Kafka DR Architecture?

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