For disaster recovery automation, Multi-Region Clusters allow you to run a single Kafka cluster across multiple data centers, providing your enterprise with the operational simplicity of stretch cluster architecture without the typical tradeoff between throughput and disaster resilience.
For data migration use cases, such as building hybrid cloud and multi-cloud architectures, migrating clusters across different cloud providers, or aggregating clusters to a centralized location, Replicator provides reliable, asynchronous replication built on the Kafka Connect framework.
Also for data migration use cases, Cluster Linking provides a next-gen solution for asynchronous replication. Cluster Linking is fully offset-preserving and can bridge clusters between different environments without needing to deploy any additional nodes to the architecture.
With Multi-Region Clusters, you can leverage Kafka’s internal replication engine to stretch one Kafka cluster across multiple data centers in different regions, ensuring your data is backed up without needing to deploy a separate Connect-based replication tool like MirrorMaker 2.
Multi-Region Clusters also enables automated client failover, so your producers and consumers can automatically failover to the recovery site upon failure without your Kafka operators needing to coordinate across your multiple developer teams.
Build your mission-critical applications with high uptime SLAs on top of Kafka rather than legacy, batch-oriented systems. With support for automated client failover, Multi-Region Clusters enable Recovery Time Objectives (RTO) to be measured in seconds rather than hours.
Ensure Recovery Point Objectives (RPO) of 0 for topics with your most sensitive data. Multi-Region Clusters allow you to choose between synchronous or asynchronous partition replication on a per topic basis.
Leverage Replicator and Cluster Linking for your data migration use cases, such as:
Offload cluster management to the world’s foremost Kafka experts by using Replicator or Cluster Linking to bridge your self-managed clusters to a fully-managed service in Confluent Cloud
Easily share topic data between independent Kafka clusters while fully preserving message offsets using Cluster Linking.