Deploying Kafka Streams Applications with Docker and Kubernetes

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All things change constantly, and we need to get on board with streams! Moreover, dealing with constantly changing data at low latency is pretty hard. It doesn’t need to be that way. Kafka Streams, Apache Kafka’s stream processing library, allows developers to build sophisticated stateful stream processing applications which you can deploy in an environment of your choice. Kafka Streams is not only scalable but fully elastic allowing for dynamic scale-in and scale-out as the library handles state migration transparently in the background. By running Kafka Streams applications on Kubernetes, you can use Kubernetes powerful control plane to standardize and simplify the application management—from deployment to dynamic scaling. In this talk, Viktor explains the essentials of dynamic scaling and state migration in Kafka Streams. You will see a live demo of how a Kafka Streams application can run in a Docker container and the dynamic scaling of an application running in Kubernetes.

SPEAKER:

Viktor Gamov is a Developer Advocate at Confluent, the company that makes a streaming platform based on Apache Kafka. Working in the field, Viktor Gamov developed comprehensive expertise in building enterprise application architectures using open source technologies. He enjoys helping different organizations design and develop low latency, scalable and highly available distributed systems. Back in his consultancy days, he co-authored O’Reilly’s «Enterprise Web Development.» He is a professional conference speaker on distributed systems, Java, and JavaScript topics, and is regular on events including JavaOne, Devoxx, OSCON, QCon, and others (http://lanyrd.com/gamussa). He blogs at http://gamov.io and produces the podcasts Razbor Poletov (in Russian) and co-hosts DevRelRad.io. Follow Viktor on Twitter @gamussa, where he posts there about gym life, food, open source, and, of course, Kafka and Confluent!