Скачать или смотреть Day 48: Sessionization for User Activity Tracking

Day 48 focuses on sessionization, the critical step that turns raw, unbounded event streams into meaningful user journeys.

In this lesson, we build a production-grade session processing pipeline using Kafka Streams session windows with configurable inactivity gaps. Active sessions are tracked in real time using a Redis-backed cache with TTL-based expiration, while completed sessions are persisted in PostgreSQL for deep analytics such as session duration, event counts, and conversion patterns.

You’ll also expose interactive query APIs that allow real-time inspection of session state stores without incurring external database latency—exactly how modern analytics platforms power live dashboards and personalization engines.


#Sessionization
#UserAnalytics
#KafkaStreams
#RealTimeProcessing
#DistributedSystems