Get your tickets for Infobip Shift 2023 at https://shift.infobip.com/ https://twitter.com/InfobipShift If you're using Apache Kafka in your company for real-time insights, you know that keeping your data safe and moving is crucial to your operations. Deploying a high-availability, disaster recovery (HA/DR) strategy for your Kafka workloads can increase the availability and reliability of your mission-critical applications by minimizing data loss and downtime during unexpected disasters. It all starts with knowing which strategy is right for you. Geo-replication is at the heart of HA/DR for Kafka, but understanding and migrating to a multi-cluster setup can be challenging. Due in large part to the overhead that comes with tackling this at application deployment time, many HA/DR strategies have historically been set up behind the scenes at a platform level which can make it even more difficult to implement. In this session, we'll first introduce a number of HA/DR strategies used in the Kafka ecosystem – such as active-active, active-passive replication, and multi-regional stretched clusters. We'll then see how to implement and automate many of these strategies using Confluent Cluster Linking, allowing you to achieve your goals without the DevOps headache.