Understand Publish-Subscribe

  • data-engineering
  • idea
  • spring

Publish-Subscribe (Pub/Sub) Pattern:

  • A widely used messaging design pattern that decouples message producers (publishers) from message consumers (subscribers).
  • Enables asynchronous communication and scalable, flexible message distribution.


  • Publisher: Sends messages to a topic.
  • Topic: A named channel where messages are published.
  • Subscriber: Receives messages from a topic, either by pulling or via push notifications.


  • Publishers send messages to topics.
  • Subscribers create subscriptions to these topics.
  • The system delivers messages from topics to all subscribers.
  • Subscribers acknowledge messages after processing.


  • Decoupling: Publishers and subscribers are independent of each other.
  • Scalability: Handles large volumes of data and numerous subscribers.
  • Flexibility: Supports various use cases like real-time and batch processing.
  • Reliability: Ensures message delivery and persistence until acknowledged.

Use Cases:

  • Event-driven architectures
  • Real-time data processing
  • Microservices communication
  • Notification systems

Examples of Pub/Sub Implementations:

  • Google Cloud Pub/Sub: A messaging service for real-time event ingestion and delivery.
  • Apache Kafka: A distributed event streaming platform known for high throughput and fault tolerance.
  • Amazon SNS (Simple Notification Service): A fully managed AWS service for sending messages to multiple subscribers.
  • Microsoft Azure Service Bus: A cloud messaging service that supports pub/sub among other patterns.
  • RabbitMQ: An open-source message broker that implements pub/sub and other messaging patterns.