PREVIEW: Scaling Kafka Across Multiple Data Centers
summary
Content focuses on real failure modes and concrete recovery steps for Kafka spanning data centers, not high-level theory: covers controller and replica outages, storage-array loss, entire data-center loss and natural disasters, and timing of bring-up between Kafka and databases. It spends forty minutes on what actually breaks and how teams respond, recommends the replicator for moving data between clusters as the pragmatic replication tool, and urges practice your failover procedure and avoid colocating primaries on the same floodplain.
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