Reactive Summit 2017

ING is using Apache Flink for creating streaming analytics ('fast data') solutions. We created a platform with Flink, Kafka and Cassandra that offers high-throughput and low-latency, ideally suited for complex and demanding use cases in the international bank such as customer notifications and fraud detection. These use cases require fast data processing and a business rules engine and/or machine learning evaluation system. Integrating these components together in an always-on, distributed architecture can be challenging. In this talk, I'll start with a brief overview of Apache Flink. You'll learn the benefits of Flink, you'll see a benchmark comparison of Flink with other open source streaming solutions (Spark, Samza, Storm, Apex) and learn about the pros and cons of each framework. After the PowerPoint slides, I'll continue with a deep dive and lessons learned from experiences in a production environment.