Fawaz Ghali
Real-time stream processing is growing exponentially in recent years, businesses need to gather insights from real-time data as soon as it’s generated. To do this, developers and software architects use various pipelines and tools to capture and process data in motion. Real-time stream processing has its own challenges such as windowing, event time and late events, streaming fault tolerance, and processing guarantees. On the other hand, Spring is all about simplicity, and the question becomes how can you develop a real-time stream processing in Spring?