Kafka MirrorMaker
Explore how Kafka MirrorMaker facilitates reliable and scalable data replication between Kafka clusters. Understand key use cases like cloud migration, geo-replication, disaster recovery, and workload separation. Learn about MirrorMaker 2.0 improvements for seamless replication of topics, consumer groups, and configurations to maintain data consistency and availability.
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MirrorMaker
MirrorMaker is a powerful tool designed to enable reliable data replication and synchronization between Kafka clusters. It provides a scalable and fault-tolerant distributed architecture that can handle large-scale data replication requirements efficiently. MirrorMaker can be used to facilitate various data integration scenarios, including cloud migration, disaster recovery, and workload separation.
Key use cases for MirrorMaker
Let’s explore some of the key scenarios where MirrorMaker is useful:
Cloud migration or hybrid architectures: MirrorMaker enables data replication between Kafka clusters across different cloud providers. For use cases that require a hybrid architecture, MirrorMaker is also used to migrate data from on-prem Kafka clusters to the cloud. It helps with scalability, ...