A message broker is software that enables asynchronous messaging and communication between distributed applications and microservices. It serves as an intermediary that decouples message producers from consumers.
Message brokers receive, temporarily store, and route messages using predefined protocols like AMQP or MQTT. This facilitates resilient delivery even with intermittent connectivity. Message brokers form a core part of modern event-driven architectures. They are commonly used with time-series databases and data warehouses.
A message broker manages message delivery, transformation, and routing between applications. Producers send messages to the broker, which buffers them in a queue. It then delivers the messages to target consumer applications based on rules and mappings.
The broker handles connection management, message persistence, retries for reliability, and other complex tasks. It can route, transform, or split messages based on business logic. Message brokers typically support common protocols like JMS, AMQP, STOMP for interoperability.
Message brokers allow building large-scale distributed systems by decoupling components. This enables independent scaling and resilience. Buffering aids with surges in volumes. Routing provides flexibility.
Use cases include automated workflows, real-time data pipelines, IoT systems, service integration, and microservices. Message brokers are crucial in finance, e-commerce, transportation, and other domains dealing with high volumes of events and data. They integrate systems and enable complex architectures.
Message brokers provide asynchronous messaging capabilities to enable decoupled integration between applications and services. They act as intermediaries that handle routing, buffering, persistence, translation, and security for messages between endpoints. Key capabilities include:
Message brokers allow asynchronous event-driven communication between applications and can simplify integration between disparate systems. They are well suited for:
While simplifying integration, message brokers still need to handle inherent complexities around scale, reliability, and security:
A time-series database (TSDB) is a database engineered and optimized for handling time-series data, where each data point contains a timestamp.
Read more ->
.svg)