Stream Processing with Apache Flink

What this post added

This post introduces the core concepts of Apache Flink, its powerful runtime, flexible APIs (DataStream, Table API, Flink SQL, Stateful Functions), and its unified approach to stream and batch processing, highlighting its production-readiness with features like a flexible metrics system and extensive observability. It also details the benefits of using Flink for Kafka use cases, focusing on reduced latency, increased innovation and reusability, resource efficiency, and expressiveness.