Technology
Kafka event streaming, partitions, consumer groups, offsets, retention, replay, and stream processing behavior.
Practice items tagged with Kafka.
Explains partition key selection for ordering, load distribution, hot keys, and consumer scalability.
Explains useful message metadata for tracing, idempotency, ownership, versioning, and support diagnostics.
Explains how systems behave when the broker is down or slow and how backpressure protects callers and dependencies.
Explains how to reprocess event streams safely for new projections, bug fixes, and data repair.
Explains command messages versus event messages and how ownership changes their design.
Explains how consumer groups share event-stream work and how offset commits affect duplicate or lost processing.
Preparation paths where this taxonomy appears in the track scope.