Amazon Web Services (AWS) offers several messaging services designed to facilitate communication between different components of an application or between applications. Here are the key messaging services provided by AWS:

1. Amazon Simple Queue Service (SQS)

• Type: Fully managed message queuing service.
• Use Case: Decouple and scale microservices, distributed systems, and serverless applications.
  • Features:
  • Standard Queues: Offer high throughput, best-effort ordering, and at-least-once delivery.
  • FIFO Queues: Ensure that messages are processed exactly once, in the exact order that they are sent.
  • Dead-Letter Queues: Isolate messages that can’t be processed.
  • Recomended when building new application on AWS Cloud.

2. Amazon Simple Notification Service (SNS)

• Type: Fully managed pub/sub messaging service.
• Use Case: Enable message delivery to multiple subscribers or endpoints, such as Lambda functions, HTTP/S endpoints, and Amazon SQS queues.
  • Features:
  • Topics: Allow for the broadcast of messages to multiple subscribing endpoints.
  • Protocols: Supports various protocols like HTTP/HTTPS, Email, SMS, and Lambda.
  • Message Filtering: Enables subscribers to receive only the messages they are interested in.

3. Amazon MQ

• Type: Managed message broker service for Apache ActiveMQ and RabbitMQ.
• Use Case: Migrate and manage message brokers in the cloud without re-architecting existing applications.
  • Features:
  • Compatibility: Supports standard messaging APIs and protocols including JMS, NMS, AMQP, STOMP, MQTT, and WebSocket.
  • Managed Broker: AWS handles provisioning, patching, and maintenance.
  • Recomended when On-prem application needs to migrate on AWS cloud and the application is already using ActiveMQ and RabbitMQ.

4. AWS AppSync

• Type: Fully managed GraphQL service with real-time data synchronization and offline programming features.
• Use Case: Build data-driven applications that require real-time updates.
  • Features:
  • GraphQL API: Allows clients to request exactly the data they need.
  • Data Sources: Connects to various data sources including DynamoDB, Lambda, and more.
  • Subscriptions: Supports real-time updates to clients via WebSocket.

5. Amazon Kinesis Data Streams

• Type: Real-time data streaming service.
• Use Case: Collect, process, and analyze real-time, streaming data.
  • Features:
  • High Throughput: Supports ingesting massive amounts of data per second.
  • Real-Time Processing: Enables real-time analytics with low latency.

6. AWS Step Functions

• Type: Serverless orchestration service.
• Use Case: Coordinate multiple AWS services into serverless workflows.
  • Features:
  • Visual Workflows: Allows creation of workflows with a graphical interface.
  • Error Handling: Built-in error handling, retry mechanisms, and state management.

7. Amazon EventBridge (formerly CloudWatch Events)

• Type: Serverless event bus service.
• Use Case: Connect application components using data from applications, integrated SaaS applications, and AWS services.
  • Features:
  • Event Bus: Centralized event management with event routing rules.
  • Third-Party Integration: Integrates with various SaaS providers.

8. AWS IoT Core

• Type: Managed cloud service for connected devices.
• Use Case: Enable secure and reliable communication between IoT devices and the cloud.
  • Features:
  • Message Broker: Supports MQTT and HTTP protocols.
  • Device Communication: Facilitates low-latency and reliable communication.

These services provide a wide array of options to build robust, scalable, and decoupled systems, addressing various communication needs such as messaging, streaming, and event-driven architectures.