Deploying Lambda function and API Gateway

Introduction

When building modern applications, serverless architectures allow you to focus entirely on writing code while letting the cloud provider manage infrastructure.
In AWS, two key services make this possible:

• Amazon API Gateway – A fully managed service for creating, publishing, and securing APIs at scale.
• AWS Lambda – A compute service that runs your code on demand, without provisioning or managing servers.

Together, they enable the creation of serverless APIs where requests are routed through API Gateway and processed by Lambda functions.

Why Serverless?

With traditional applications, you have to:

• Provision servers.
• Maintain operating systems.
• Handle scaling and failover.
• Pay for idle capacity.

With API Gateway + Lambda:

• No server maintenance – AWS runs the compute for you.
• Automatic scaling – Your code scales up and down automatically based on requests.
• Pay per execution – You only pay when your code runs.
• Fast deployments – Push new features without touching infrastructure.

How It Works

1. Client Sends Request
   A user or application sends an HTTP request to your API Gateway endpoint.

2. API Gateway Routes the Request
   API Gateway matches the request to a configured route and passes it to the corresponding AWS Lambda function.

3. Lambda Executes Business Logic
   The Lambda function processes the request — such as reading from DynamoDB, calling another API, or running AI inference — then returns a response.

4. API Gateway Sends Back the Response
   API Gateway returns the processed response to the client.

Benefits for This Project

By using API Gateway and Lambda, we:

• Avoid managing backend servers.
• Scale automatically during traffic spikes.
• Deploy new endpoints quickly during the lab.
• Keep costs low for development and testing.

Go next and see to see how you can deploy RESTFUL API