[Demo] Design Event-Driven Microservices for Cloud → Register Now

White Paper

Best Practices for Multi-Region Apache Kafka® Disaster Recovery in the Cloud (Active/Passive)

電子ブックを入手

In the public cloud, regional and availability zone (AZ) downtime and data loss can result in businesses losing considerable revenue and damaging their reputation by halting operations entirely. As enterprise companies move to the cloud to run their most critical workloads, the need for a business continuity or disaster recovery (DR) plan is critical.

If your business depends on Apache Kafka® to run mission-critical workloads or customer-facing applications, then you need a multi-region DR plan for your Kafka deployment. If disaster strikes—catastrophic hardware failure, software failure, power outage, denial of service attack, or any other event that causes one region to fail completely—your Kafka architecture continues running in another region until service is restored. A multi-region DR plan ensures that your data streaming applications continue to operate even if a whole region fails.

In this white paper, we provide a holistic overview of an active-passive multi-region DR solution based on the capabilities of Confluent Cloud, the only fully managed, cloud-native service for Apache Kafka. Using Confluent Cloud and features like Cluster Linking and Schema Linking, we will show:

  • How to architect a multi-region deployment
  • How to failover when a regional outage strikes
  • What to do when the region recovers

その他のリソース

cc demo

Confluent Cloud Demo

Join us for a live demo of Confluent Cloud, the industry’s only fully managed, cloud-native event streaming platform powered by Apache Kafka
kafka microservices

Kafka Microservices

In this online talk series, learn key concepts, use cases and best practices to harness the power of real-time streams for microservices architectures
Image-Event-Driven Microservices-01

e-book: Microservices Customer Stories

See how five organizations across a wide range of industries leveraged Confluent to build a new class of event-driven microservices