AWS Lambda Functions: Serverless Computing Made Easy
Generate page or solution using AWS UI not AWS CLI
This article guides you through creating and managing AWS Lambda functions using the AWS Management Console, focusing on a hands-on approach without using the AWS CLI. We will cover writing Lambda functions in Python and Node.js, and configuring function triggers such as S3 and DynamoDB events.
AWS Lambda Functions: Serverless Computing Made Easy
Writing Lambda functions in Python/Node.js
AWS Lambda supports various programming languages. Here's how to write a simple function in Python and Node.js using the console:
Do You Know?
You can use AWS SAM (Serverless Application Model) to define your functions and infrastructure as code, but this example focuses on the AWS console for simplicity.
Python
import json
def lambda_handler(event, context):
return {
'statusCode': 200,
'body': json.dumps('Hello from Python!')
}
Node Jsexports.handler = async (event) => {
return {
statusCode: 200,
body: JSON.stringify('Hello from Node.js!'),
};
};
Configuring function triggers (e.g., S3, DynamoDB, etc.)
Triggers automate Lambda function execution in response to events from other AWS services.
Important Note
Ensure you have the necessary permissions configured for your Lambda function to access other AWS services.
For instance, to trigger a function from an S3 bucket:
- Create or select an S3 bucket.
- Go to the Lambda function configuration.
- Add an S3 trigger, specifying the bucket and event type (e.g., object created).
Avoid This
Don't grant overly permissive access to your Lambda functions. Follow the principle of least privilege.
Summary
- Created Lambda functions using the AWS Management Console.
- Wrote simple functions in Python and Node.js.
- Configured triggers to automate function execution based on events from other AWS services.
- Highlighted the importance of secure configuration and access control.