Messaging Fundamentals
Messaging lets software components exchange commands, events, and data through an intermediary channel instead of making every interaction a direct request. It separates producer and consumer timing, but requires explicit contracts, delivery behavior, error handling, and operational evidence.
itDistributed systems, messaging, and integration | OpenSkills.info
Intro
Messaging Fundamentals
Messaging transfers information or work between components through a channel. A producer writes a message. A broker or channel accepts, routes, and may retain it. A consumer receives it and applies an effect. The producer and consumer do not need to be available at the same moment.
This temporal separation is the main value. It allows one component to accept work while another processes at its safe rate. It also means that a successful send does not automatically prove that the final business effect happened.
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Sources
- https://www.enterpriseintegrationpatterns.com/patterns/messaging/
Supports
- Message
- channel
- endpoint
- routing
- and management pattern vocabulary
- https://learn.microsoft.com/en-us/azure/architecture/patterns/publisher-subscriber
Supports
- Publish-subscribe
- subscription
- duplicate delivery
- correlation
- schema
- and backpressure considerations
- https://learn.microsoft.com/en-us/azure/architecture/patterns/queue-based-load-leveling
Supports
- Queue buffering
- consumer rate
- backlog
- idempotency
- ordering
- and dead-letter handling
- https://github.com/stn1slv/awesome-integration
Supports
- Messaging ecosystem discovery
- https://www.asyncapi.com/
Supports
- Asynchronous contract tooling
- https://camel.apache.org/
Supports
- Integration routes and components
- https://nats.io/
Supports
- Cloud-native messaging
