This blog explores key messaging design patterns used in distributed systems architecture. These patterns help improve scalability, reliability, and performance in cloud-native applications.
| Pattern | Description | Well-Architected Pillars |
|---|---|---|
| Asynchronous Request-Reply | Decouples back-end processing from front-end, allowing async operations with a clear response. | Performance Efficiency |
| Claim Check | Splits large messages into a lightweight reference and a payload stored externally. | Reliability, Security, Cost Optimization, Performance Efficiency |
| Competing Consumers | Multiple consumers process messages from the same queue concurrently to improve throughput. | Reliability, Cost Optimization, Performance Efficiency |
| Messaging Bridge | Enables communication between incompatible messaging systems via an intermediary. | Cost Optimization, Operational Excellence |
| Priority Queue | Ensures high-priority messages are processed faster than others. | Reliability, Performance Efficiency |
| Publisher/Subscriber | Broadcasts events to multiple consumers asynchronously without tight coupling. | Reliability, Security, Cost Optimization, Operational Excellence, Performance Efficiency |
| Queue-Based Load Leveling | Buffers requests using a queue to handle load spikes smoothly. | Reliability, Cost Optimization, Performance Efficiency |
| Sequential Convoy | Processes related messages in order without blocking unrelated message groups. | Reliability |
These patterns are foundational for building robust cloud applications. For more, explore the full Azure Architecture Center.
Techy Chalkboard in bits and pieces 