AWS Lambda LAB

 AWS Lambda is a serverless computing service that lets you run code without provisioning or managing servers. It's ideal for applications that need to scale automatically and process events in real-time.

Prerequisites

• An AWS account
• Basic understanding of AWS services

Step-by-Step Guide

1. Create a Lambda Function

• Launch Lambda: In the AWS Management Console, search for "Lambda" and launch the service.
• Create Function: Click on "Create function".
• Provide Function Details: Enter a name for your function, select a runtime (e.g., Python, Node.js), and choose a trigger (e.g., S3, API Gateway).

AWS Lambda Create Function screen

2. Write Function Code

• Write Code: Write your function code using the selected runtime.

Python

import json

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

3. Configure Triggers (Optional)

• Configure Triggers: If you selected a trigger, configure it to invoke your function. For example, if you chose S3, configure an S3 bucket and event.

4. Deploy Function

• Deploy Function: Deploy your function to AWS.

5. Test Function

• Test Function: Test your function using the test event provided by Lambda or by invoking it from your trigger.

AWS Lambda Test Function screen

Additional Considerations

• Runtimes: Choose from a variety of runtimes supported by Lambda.
• Triggers: Lambda supports various triggers, including API Gateway, S3, Kinesis, and more.
• Concurrency: Configure concurrency limits to control the number of instances of your function that can run simultaneously.
• Environment Variables: Set environment variables to pass configuration information to your function.