Apache: Big Data 2016

Apache Kafka has enjoyed widespread adoption as a messaging backbone for data pipelines and stream processing platforms.

LinkedIn runs one of the largest known deployments of Kafka and serves hundreds of applications within the company. As new use-cases for Kafka emerge it is becoming increasingly critical to provide self-serve features for users without having to always engage Kafka specialists. Users need to create topics with non-default configurations and easily examine various topic metadata and schemas; topic owners may want to specify authorization rules and be able to encrypt their data. Furthermore, Kafka brokers need mechanisms in place to protect against rogue clients that impact the cluster and other clients.

In this talk we will describe how we are addressing these practical challenges in providing a truly multi-tenant messaging service.