Creating an AWS Lambda Function: My Journey and Tips

Creating an AWS Lambda function may seem daunting at first, but with the right approach, it becomes much simpler. When I first started, I faced challenges like CORS issues—something I’ve already addressed in a previous post: Enabling CORS for a REST API Resource

Now, I want to share a series of posts documenting how I integrated:

• Lambda functions
• DynamoDB
• API Gateway

Getting Started

The AWS documentation is the perfect starting point. This guide is comprehensive and beginner-friendly: AWS Lambda Getting Started Guide

Key Considerations Before Coding

1. Best Practices for Scalability and Security

Before writing a single line of code, I read up on best practices. These helped me:

• Scale functions efficiently.
• Enhance security.
• Simplify configurations.

AWS Lambda Best Practices

2. Execution Environment Lifecycle

Understanding the Lambda execution environment lifecycle was a game-changer. It allowed me to:

• Gain insights into how my function runs.
• Optimize its performance.

AWS Lambda Execution Environment

Don’t Forget About CloudWatch!

Monitoring is critical. CloudWatch helps you keep track of your functions’ performance and troubleshoot issues. If you’re not familiar with it, start here: CloudWatch Overview

What’s Next?

This is just the beginning! I’ll be sharing more about integrating AWS services like DynamoDB and API Gateway.

What challenges did you face when working with AWS Lambda? Let’s discuss in the comments!