Data streaming is a really difficult problem. We know this because 80% of the time in every project is spent optimizing the streaming data and analyzing windows. We know this because this problem remains challenging despite 10+ years of attempts to solve it. All we want is a service that will be reliable, handle all kinds of data and connect with all kinds of systems, be easy to manage and scale as our systems grow. Oh, and it should be super low latency too. Is it too much to ask?
In this presentation, we’ll discuss the basic challenges of data streaming and introduce a few design and architecture patterns that are used to tackle these challenges. We will then explore how these patterns can be implemented using Apache Flink. Difficult problems are difficult and we offer no silver bullets, but we will share pragmatic solutions that helped many organizations build fast, scalable and manageable data streaming pipelines.