From migrations between Apache Kafka clusters to multi-region deployments across datacenters, the introduction of MirrorMaker2 has expanded the possibilities for Apache Kafka deployments and use cases. In this session you will learn about patterns, best practices, and learnings compiled from running MirrorMaker2 in production at every scale.
발표자
Cliff Gilmore
Cliff Gilmore is an accomplished thought leader who brings deep technical knowledge and customer-facing savvy to design and implement solutions for today's Big Data problems. He has extensive experience in data architecture across a broad range of technologies and has worn many hats - from running a consulting practice specializing in modern data architectures to helping hundreds of customers successfully deploy opensource solutions from the earliest stages to production at scale.