Draft coverage
This scenario is in the knowledge catalog, but its derived intelligence is not fully modeled yet. Topology relationships are missing. Advisor strengths are not authored. Treat the reference content as useful background, not a complete architecture review.
Summary
A streaming architecture that captures database changes via WAL-based CDC, publishes them to an event stream (Kafka), and routes them to analytics consumers. Decouples the write path from the read path while maintaining a durable, replayable event log.
Problem Statement
Operational databases accumulate write-heavy OLTP traffic that cannot simultaneously serve analytics queries without degrading transactional performance. A separate analytics path is required that consumes database changes asynchronously, provides replayable history, and allows analytics consumers to scale independently of the primary database.
Complexity
high
Maturity
Experienced Backend Team
Patterns
1 patterns
Modeling
draft