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Migrate Your Kafka Cluster with Minimal Downtime

https://cnfl.io/podcast-episode-260 | Migrating Apache Kafka® clusters can be challenging, especially when moving large amounts of data while minimizing downtime. Michael Dunn (Solutions Architect, Confluent) has worked in the data space for many years, designing and managing systems to support high-volume applications. He has helped many organizations strategize, design, and implement successful Kafka cluster migrations between different environments. In this episode, Michael shares some tips about Kafka cluster migration with Kris, including the pros and cons of the different tools he recommends. Michael explains that there are many reasons why companies migrate their Kafka clusters. For example, they may want to modernize their platforms, move to a self-hosted cloud server, or consolidate clusters. He tells Kris that creating a plan and selecting the right tool before getting started is critical for reducing downtime and minimizing migration risks. The good news is that a few tools can facilitate moving large amounts of data, topics, schemas, applications, connectors, and everything else from one Apache Kafka cluster to another. Kafka MirrorMaker/MirrorMaker2 (MM2) is a stand-alone tool for copying data between two Kafka clusters. It uses source and sink connectors to replicate topics from a source cluster into the destination cluster. Confluent Replicator allows you to replicate data from one Kafka cluster to another. Replicator is similar to MM2, but the difference is that it’s been battle-tested. Cluster Linking is a powerful tool offered by Confluent that allows you to mirror topics from an Apache Kafka 2.4/Confluent Platform 5.4 source cluster to a Confluent Platform 7+ cluster in a read-only state, and is available as a fully-managed service in Confluent Cloud. At the end of the day, Michael stresses that coupled with a well-thought-out strategy and the right tool, Kafka cluster migration can be relatively painless. Following his advice, you should be able to keep your system healthy and stable before and after the migration is complete. EPISODE LINKS ► MirrorMaker 2: https://cwiki.apache.org/confluence/d... ► Replicator: https://cnfl.io/replicator-overview-e... ► Cluster Linking: https://cnfl.io/cluster-linking-overv... ► Schema Migration: https://cnfl.io/migrate-schemas-episo... ► Multi-Cluster Apache Kafka with Cluster Linking: https://cnfl.io/multi-cluster-apache-... ► Kris Jenkins’ Twitter:   / krisajenkins   ► Streaming Audio Playlist:    • Streaming Audio Podcast | Apache Kafk...   ► Join the Confluent Community: https://cnfl.io/confluent-community-e... ► Learn more with Kafka tutorials, resources, and guides at Confluent Developer: https://cnfl.io/confluent-developer-e... ► Live demo: Intro to Event-Driven Microservices with Confluent: https://cnfl.io/demo-intro-to-event-d... ► Use PODCAST100 to get an additional $100 of free Confluent Cloud usage: https://cnfl.io/try-cloud-episode-260 ► Promo code details: https://cnfl.io/podcast100-details-ep... TIMESTAMPS 0:00 - Intro 1:46 - Why would you migrate a Kafka cluster? 5:06 - Is it easy to migrate a Kafka cluster? 6:38 - MirrorMaker and MirrorMaker 2 15:04 - Confluent Replicator 18:39 - Cluster Linking 22:51 - Getting started with Kafka cluster migration 29:47 - Can you gradually migrate your Kafka cluster? 33:10 - Is there a recommended strategy for migrating your Kafka cluster? 36:14 - Do you have to migrate all your consumer groups at once? 38:29 - Migrating Kafka Streams applications 44:32 - Migrating connectors 48:12 - Migrating schemas 54:44 - How long does it take to do a Kafka cluster migration? 57:45 - What is the biggest challenge of Kafka cluster migration? 59:38 - It's a wrap! ABOUT CONFLUENT Confluent is pioneering a fundamentally new category of data infrastructure focused on data in motion. Confluent’s cloud-native offering is the foundational platform for data in motion – designed to be the intelligent connective tissue enabling real-time data, from multiple sources, to constantly stream across the organization. With Confluent, organizations can meet the new business imperative of delivering rich, digital front-end customer experiences and transitioning to sophisticated, real-time, software-driven backend operations. To learn more, please visit www.confluent.io. #streamprocessing #apachekafka #kafka #confluent