Building Scalable Event-Driven Workflows Using AWS SQS and Lambda

This article demonstrates how to build an event-driven serverless architecture using Amazon SQS and AWS Lambda. It provides a step-by-step guide to creating an SQS queue, configuring a Lambda function, and enabling SQS triggers for automatic message processing. The tutorial focuses on practical implementation with simple explanations suitable for beginners and cloud enthusiasts. This setup highlights scalable, reliable, and cost-efficient application design using AWS services.

Gaurav Prajapati

Cloud & DevOps enthusiast

Published Oct 6, 2026

Last modified Oct 6, 2026

Step 1: Create an Amazon SQS Queue

Login to AWS Console
Search for SQS
Click Create Queue
Select : Standard Queue (recommended for beginners)
Enter Queue Name:
Keep default settings
Click Create Queue

Step 2: Create an AWS Lambda Function

Go to Lambda Service
Click Create Function
Choose : Author from scratch

Click Create Function

Step 3: Add Lambda Code

Example Python code:

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import json

def lambda_handler(event, context):
    return {
        'statusCode': 200,
        'body': json.dumps('Hello from lambda!')
    }

Click Deploy.

Step 4: Create SQS Trigger for Lambda

Now we connect both services

Open Lambda Function
Go to Configuration → Triggers
Click Add Trigger
Select Source:SQS
Choose your queue:
Enable trigger
Click Add.

Step 5: Update Permissions (Important)

AWS usually adds permissions automatically, but verify:

IAM Role must allow:

Read from SQS
Execute Lambda

Policy example includes:

AWSLambdaSQSQueueExecutionRole

Step 6: Test the Setup

Send a message to SQS:

Open SQS Queue
Click Send and receive messages
Enter message: Hello from SQS!
Send message

Step 7: Verify Lambda Execution

Go to Lambda
Open Monitor
Click View CloudWatch Logs

You should see:

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Message received: Hello from lambda!

Success! Your event-driven system is working.

In conclusion, the integration of Amazon SQS with AWS Lambda demonstrates the power of serverless and event-driven architecture in modern cloud applications. By decoupling system components through message queues and enabling automatic processing with Lambda, organizations can achieve improved scalability, reliability, and operational efficiency. This implementation highlights how AWS managed services simplify infrastructure management while supporting resilient application design. Mastering these foundational cloud patterns is essential for building scalable and production-ready solutions on AWS.

Any opinions in this article are those of the individual author and may not reflect the opinions of AWS.

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Building Scalable Event-Driven Workflows Using AWS SQS and Lambda

Gaurav Prajapati