Effortless Deployment: Python Applications on AWS Lambda

Streamlining Your Workflow with Step-by-Step AWS Lambda Integration

Photo by Tim van der Kuip on Unsplash

In the fast-paced world of development, deploying Python applications efficiently is key. AWS Lambda, the serverless computing service by Amazon Web Services, provides a seamless solution for running your code without the hassle of managing servers.

In this article, we’ll walk through the process of deploying Python applications with AWS Lambda, simplifying the complexities and empowering you to focus on your code.

Getting Started

Before diving into the deployment process, make sure you have the AWS CLI installed and configured. If you don’t have it yet, you can download it from the AWS official site and set it up by running:

aws configure

This will prompt you to enter your AWS access key, secret key, region, and default output format.

Creating a Simple Python Function

Let’s start with a basic Python function that we want to deploy on AWS Lambda. Create a file named lambda_function.py with the following code:

def hello_lambda(event, context):
    return {
        'statusCode': 200,
        'body'…