Nikolay Stoitsev is a software engineer at Uber where he builds scalable and fault-tolerant backend distributed systems. The projects he is working on allow 2 million people around to world to earn money on their own schedule. They serve a community spread over more than 600 cities across 77 countries.
Large scale stream processing with Apache Flink
In today’s world it’s no longer enough to build systems that process big volumes of information. We now need applications that can handle large continuous streams of data with very low latency so we can react to the ever-changing environment around us. To efficiently handle such problems we need to deploy a stream processing solution. During the talk we’ll explore one of the most popular frameworks for stream processing – Apache Flink. We’ll see what unique capabilities it provides and how they apply to some real world problems. And we’ll also explore how it works under the hood and how to get the scalable and fault-tolerant stream processing that Flink provides.