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Integration
Message Routing
Message Filter
Drop messages that do not match — only let through what the consumer actually cares about.
Intent & Description
Real-world Use Case
Fraud detection system subscribes to all transaction events but only processes transactions over $10,000. Message Filter drops everything below that threshold. Fraud team is not overwhelmed by noise from micro-transactions.
Source
📌 TL;DR
Message Filter = bouncer for your consumer. Only the right messages get in. Keep filter logic simple and add a discard log so you can audit what got dropped.
Advantages
- Reduces unnecessary consumer processing — only relevant messages get through
- Simple to implement as a Pipes-and-Filters step
- Consumer logic stays clean — no if/else guards needed in the business handler
- Filters are composable and reusable
Disadvantages
- Mis-configured filter silently drops valid messages — needs monitoring
- Filter adds a processing hop and some latency
- Filter logic must be kept in sync with message schema changes
- No built-in DLQ for dropped messages by default