🖥️☁️AWS SQS and SNS: A Complete Guide to Messaging Services

 

AWS SQS and SNS: A Complete Guide to Messaging Services

Introduction

AWS provides two powerful messaging services, Simple Queue Service (SQS) and Simple Notification Service (SNS), for building scalable, decoupled, and event-driven applications. While SQS is a fully managed queuing service that enables asynchronous communication, SNS is a pub/sub messaging service for sending notifications and alerts.

AWS SQS (Simple Queue Service)

What is AWS SQS?

AWS SQS is a message queuing service that allows components of a distributed application to communicate asynchronously. It ensures reliable message delivery between services, even if they are running at different speeds.

Key Features of AWS SQS

  • Fully Managed: AWS handles scaling and availability.
  • Decoupling: Separates application components for better scalability.
  • FIFO & Standard Queues: Ensures message ordering when needed.
  • At-least-once Delivery: Guarantees message delivery.
  • Dead-letter Queues (DLQ): Stores failed messages for later debugging.
  • Message Retention: Stores messages from 1 minute to 14 days.

AWS SQS Architecture

AWS SQS follows a producer-consumer model:

  1. Producer: Sends a message to the queue.
  2. Queue: Temporarily stores the message.
  3. Consumer: Retrieves and processes the message.

Use Cases of AWS SQS

  • Decoupling microservices.
  • Processing background jobs.
  • Handling asynchronous tasks.
  • Managing order processing systems.

Steps to Set Up an AWS SQS Queue

  1. Log in to the AWS Console and navigate to SQS.
  2. Click Create Queue and choose Standard or FIFO.
  3. Configure settings like Retention Period and DLQ.
  4. Click Create Queue.
  5. Use SDK or CLI to send and receive messages:
    aws sqs send-message --queue-url <queue-url> --message-body "Hello SQS!"
    aws sqs receive-message --queue-url <queue-url>
    

AWS SNS (Simple Notification Service)

What is AWS SNS?

AWS SNS is a fully managed publish-subscribe (pub/sub) messaging service that allows sending notifications or messages to multiple subscribers.

Key Features of AWS SNS

  • Pub/Sub Model: Multiple subscribers receive a message from one publisher.
  • Multiple Protocols: Supports SMS, Email, HTTP, Lambda, and SQS.
  • Event-Driven Notifications: Works with AWS services like Lambda and CloudWatch.
  • Message Filtering: Subscribers receive only relevant messages.
  • Fan-out Mechanism: Distributes messages to multiple endpoints.

AWS SNS Architecture

  1. Publisher: Sends a message to an SNS topic.
  2. SNS Topic: Acts as a communication channel.
  3. Subscribers: Receive notifications via email, SMS, or other endpoints.

Use Cases of AWS SNS

  • Sending alerts and notifications.
  • Fan-out pattern for real-time updates.
  • Mobile push notifications.
  • Disaster recovery alerts.

Steps to Set Up an AWS SNS Topic

  1. Log in to the AWS Console and navigate to SNS.
  2. Click Create Topic and choose Standard or FIFO.
  3. Configure topic settings and click Create Topic.
  4. Add Subscribers (Email, SMS, SQS, HTTP, Lambda).
  5. Use SDK or CLI to publish messages:
    aws sns publish --topic-arn <topic-arn> --message "Hello SNS!"
    

Difference Between SQS and SNS

Feature SQS (Queue) SNS (Pub/Sub)
Communication Model Point-to-Point Broadcast
Message Persistence Messages are stored until consumed Messages are pushed instantly
Use Case Asynchronous job processing Sending notifications to multiple receivers

Conclusion

AWS SQS and SNS are essential for building event-driven architectures. SQS ensures reliable message delivery with queuing, while SNS allows real-time notifications to multiple subscribers. Together, they enhance application scalability and reliability.


Next Steps:

  • Learn about AWS Lambda event triggers using SQS and SNS.
  • Explore SNS topic filtering for optimized notifications.
  • Implement SQS and SNS for a real-world event-driven microservices project.

Comments

Popular posts from this blog

🔥Apache Spark Architecture with RDD & DAG

🌐Filtering and Copying Files Dynamically in Azure Data Factory (ADF)

🌐End-to-End ETL Pipeline: MS SQL to MS SQL Using Azure Databricks