Message Brokers and Event-Driven Architectures

Message Brokers and Event-Driven Architectures Modern software often needs to react quickly to events from many parts of a system. A message broker sits between services and moves data as messages. An event-driven approach uses these messages to trigger work, helping services stay decoupled and resilient. What a broker does Producers send messages to a broker. The broker stores messages and routes them to interested consumers. Consumers process events and may acknowledge or retry. Common patterns ...

September 21, 2025 · 2 min · 318 words

Middleware Patterns: Message Queues, Brokers, and Services

Middleware Patterns: Message Queues, Brokers, and Services Middleware patterns help teams decouple work, manage flow, and handle failures in distributed systems. Three building blocks often appear together: message queues, message brokers, and autonomous services. Knowing how they fit helps you design reliable, scalable apps. A message queue stores messages for a consumer to pull. Producers publish items, and workers fetch them when ready. This buffering smooths bursts and protects services from sudden load. Messages are usually processed at least once, which helps reliability but requires idempotent processing to avoid duplicates. Queues can be point-to-point, where one consumer handles each message, or used in a fan-out setup with multiple workers. ...

September 21, 2025 · 2 min · 367 words

Event driven architectures and messaging queues

Event driven architectures and messaging queues Event driven architectures treat events as the central unit of work. A service emits an event when something happens, and other services listen and react. This approach decouples components, improves resilience, and helps systems scale with demand. Messaging queues and brokers act as the pipes between producers and consumers, offering durability, backpressure handling, and reliable delivery. Key components help you map real world needs to a robust flow. Producers emit events, a broker stores and routes them, and consumers pick up events to process. Topics or queues organize events, while delivery guarantees guide retries and failures. Observability and tracing complete the picture, so teams can see how events move, where delays happen, and where errors occur. ...

September 21, 2025 · 2 min · 362 words