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  2. Message broker - Wikipedia

    en.wikipedia.org/wiki/Message_broker

    Sequence diagram for depicting the Message Broker pattern. A message broker (also known as an integration broker or interface engine [1]) is an intermediary computer program module that translates a message from the formal messaging protocol of the sender to the formal messaging protocol of the receiver.

  3. RabbitMQ - Wikipedia

    en.wikipedia.org/wiki/RabbitMQ

    RabbitMQ is an open-source message-broker software (sometimes called message-oriented middleware) that originally implemented the Advanced Message Queuing Protocol (AMQP) and has since been extended with a plug-in architecture to support Streaming Text Oriented Messaging Protocol (STOMP), MQ Telemetry Transport (MQTT), and other protocols.

  4. Apache Kafka - Wikipedia

    en.wikipedia.org/wiki/Apache_Kafka

    Apache Kafka is a distributed event store and stream-processing platform. It is an open-source system developed by the Apache Software Foundation written in Java and Scala.The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.

  5. Service-oriented architecture - Wikipedia

    en.wikipedia.org/wiki/Service-oriented_architecture

    Examples may prove useful to aid in documenting a service to the level where it becomes useful. The documentation of some APIs within the Java Community Process provide good examples. As these are exhaustive, staff would typically use only important subsets. The 'ossjsa.pdf' file within JSR-89 exemplifies such a file. [31]

  6. Message queue - Wikipedia

    en.wikipedia.org/wiki/Message_queue

    Examples of commercial implementations of this kind of message queuing software (also known as message-oriented middleware) include IBM MQ (formerly MQ Series) and Oracle Advanced Queuing (AQ). There is a Java standard called Java Message Service, which has several proprietary and free software implementations.

  7. Microservices - Wikipedia

    en.wikipedia.org/wiki/Microservices

    It is common for microservices architectures to be adopted for cloud-native applications, serverless computing, and applications using lightweight container deployment. . According to Fowler, because of the large number (when compared to monolithic application implementations) of services, decentralized continuous delivery and DevOps with holistic service monitoring are necessary to ...

  8. Publish–subscribe pattern - Wikipedia

    en.wikipedia.org/wiki/Publish–subscribe_pattern

    Most messaging systems support both the pub/sub and message queue models in their API; e.g., Java Message Service (JMS). This pattern provides greater network scalability and a more dynamic network topology, with a resulting decreased flexibility to modify the publisher and the structure of the published data.

  9. Jakarta Messaging - Wikipedia

    en.wikipedia.org/wiki/Jakarta_Messaging

    The Jakarta Messaging API (formerly Java Message Service or JMS API) is a Java application programming interface (API) for message-oriented middleware. It provides generic messaging models, able to handle the producer–consumer problem , that can be used to facilitate the sending and receiving of messages between software systems . [ 1 ]