Windowing Strategies in Stream Processing: Tumbling, Sliding, and Session Windows Explained

The Million-Event-Per-Second Problem

Imagine you’re tracking real-time stock trades arriving at 500,000 events per second. Your dashboard needs to show “trades in the last minute” and “peak trading volume in 5-second bursts.” How do you slice an infinite stream of data into meaningful chunks without overwhelming your system or missing critical patterns? This is where windowing strategies become your secret weapon—the difference between a stream processor that merely survives and one that thrives under pressure.