Apache Flink and the Next Wave of Stream...

Over the last years, data stream processing has redefined how many of us build data pipelines. Apache Flink is one of the systems at the forefront of that development: With its versatile APIs (event-time streaming, Stream SQL, events/state) and powerful execution model, Flink has been part of re-defining what stream processing can do. By now, Apache Flink powers some of the largest data stream processing pipelines in open source data stream processing. Recently, stream processing has started to also turn the space of event-driven applications inside out: We see more and more developers building applications and microservices directly on data streams, making use of sophisticated stream processors as the foundation and blurring the boundary between streaming analytics and applications. We will discuss the key concepts behind Apache Flink's approach to stream processing and how it is a powerful abstraction for stateful event-driven applications. We will present how the Flink community sees that next wave of streaming applications change some of the core principles of how we build applications today.