How to design Kafka Streams topologies that survive real production workloads — covering topology shapes, state store sizing, exactly-once semantics, and the failure modes that bite at scale.
A practical guide to building, scaling, and debugging Kafka Streams topologies, focusing on state stores, windowing, and production‑ready architecture.
A deep dive into building Kafka Streams topologies, from the DSL basics to production‑ready patterns, with concrete architecture diagrams and scaling strategies.
A deep dive into how stream engines decide what counts as late data, the mechanisms they expose, and best‑practice patterns for robust pipelines.
A deep dive into probabilistic sketches for cardinality estimation, covering theory, implementation, and operational best practices for modern observability streams.