Viktor Gamov is a Developer Advocate at Confluent, the company that makes an event streaming platform based on Apache Kafka. Back in his consultancy days, Viktor developed comprehensive expertise in building enterprise application architectures using open source technologies. He enjoys helping architects and developers to design and develop low latency, scalable and highly available distributed systems. He is a professional conference speaker on distributed systems, streaming data, JVM and DevOps topics, and is regular on events including JavaOne, Devoxx, OSCON, QCon, and others. He co-authored O’Reilly’s «Enterprise Web Development.» He blogs at (http://gamov.io)[gamov.io] and co-hosts «Crazy Russians in Devoops» and «DevRelRad.io» podcasts. Follow Viktor on Twitter @gamussa, where he posts there about gym life, food, open source, and, of course, Kafka and Confluent!
When it comes to choosing a distributed streaming platform for real-time data pipelines, everyone knows the answer: Apache Kafka! And when it comes to deploying applications at scale without needing to integrate different pieces of infrastructure yourself, the answer nowadays is increasingly Kubernetes. However, with all great things, the devil is truly in the details. While Kubernetes does provide all the building blocks that are needed, a lot of thought is required to truly create an enterprise-grade Kafka platform that can be used in production. In this technical deep dive, Michael and Viktor will go through challenges and pitfalls of managing Kafka on Kubernetes as well as the goals and lessons learned from the development of the Confluent Operator for Kubernetes.
