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Disaster Recovery

Disaster recovery starts with preparation and preparation starts here.

When that thing you hoped would never happen actually happens, you’ll be glad you were here. Learn how to achieve true disaster resilience whatever your environment.

Check out our essential resources about resilient systems.

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Online Talk

Kafka + Disaster Recovery: Are You Ready?

Learn in this demo-driven webinar best practices for building a resilient Kafka deployment with Confluent Platform to ensure continuous operations and automatic failover in case of an outage.

Sophia Jiang

Sophia Jiang, Confluent

Luke Knepper

Luke Knepper, Confluent

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White Paper

Disaster Recovery for Multi-Datacenter Apache Kafka Deployments

A practical guide to configuring multiple Apache Kafka clusters so that if a disaster scenario strikes, you have a plan for failover, failback, and ultimately successful recovery.

Start building a better disaster recovery strategy now.

Explore all the Confluent resources by topic.

More Disaster Recovery Resources

White Paper

Disaster Recovery for Multi-Datacenter Apache Kafka Deployments

A practical guide to configuring multiple Apache Kafka clusters so that if a disaster scenario strikes, you have a plan for failover, failback, and ultimately successful recovery.

White Paper

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

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.

Online Talk

Kafka + Disaster Recovery: Are You Ready?

Learn in this demo-driven webinar best practices for building a resilient Kafka deployment with Confluent Platform to ensure continuous operations and automatic failover in case of an outage.

Online Talk

Disaster Recovery Plans for Apache Kafka®

In this session, we discuss disaster scenarios that can take down entire Apache Kafka® clusters and share advice on how to plan, prepare and handle these events. Part 4 in the Best Practices for Apache Kafka in Production Series.