RESTful APIs / Deploying and Scaling REST APIs

Deploying REST APIs to AWS or Azure

This tutorial covers the basics of deploying a REST API to a cloud platform like AWS or Azure. You'll learn how to leverage the power of cloud platforms for your API.

Tutorial 1 of 5 5 resources in this section

Section overview

5 resources

Explains how to deploy and scale REST APIs effectively.

1. Introduction

In this tutorial, we will learn how to deploy a REST API on AWS and Azure. We will use the AWS Lambda and Amazon API Gateway on AWS, and Azure Functions and Azure API Management on Azure. By the end of this tutorial, you'll be able to host your API on either of these platforms and expose it to the outside world.

Prerequisites:
- Basic knowledge of REST APIs
- Basic knowledge of AWS and Azure
- An AWS and Azure account

2. Step-by-Step Guide

AWS

  1. Create a Lambda function: AWS Lambda will run our code in response to HTTP requests. In the AWS console, navigate to Lambda and click on Create function. Fill in the details and hit Create function.

  2. Create an API Gateway: In the AWS console, navigate to API Gateway and click on Create API. Select REST API and hit Build. Fill in the details and hit Create API.

  3. Link Lambda and API Gateway: In the API Gateway console, create a new resource and a new method (GET, POST, etc.). For the integration type, select Lambda Function and choose the Lambda function you created earlier.

Azure

  1. Create an Azure Function: Azure Functions will run our code in response to HTTP requests. In the Azure portal, navigate to Functions and click on Create. Fill in the details and hit Create.

  2. Create an API Management instance: In the Azure portal, navigate to API Management services and click on Add. Fill in the details and hit Create.

  3. Import the Azure Function into API Management: In the API Management instance, click on APIs in the left menu, then Add API, then Function App, and select the Azure Function you created earlier.

3. Code Examples

AWS

# This is a simple Python Lambda function
def lambda_handler(event, context):
    # The 'event' parameter contains information about the incoming request
    return {
        'statusCode': 200,
        'body': 'Hello, World!'
    }

This function simply returns a 200 status code and a body of "Hello, World!". When linked with API Gateway, it will respond to HTTP requests with this message.

Azure

// This is a simple C# Azure Function
public static async Task<IActionResult> Run(HttpRequest req, ILogger log)
{
    log.LogInformation("C# HTTP trigger function processed a request.");

    return new OkObjectResult("Hello, World!");
}

This function simply returns a 200 status code and a body of "Hello, World!". When imported into API Management, it will respond to HTTP requests with this message.

4. Summary

We have learned how to deploy a REST API on AWS and Azure. We used AWS Lambda and Amazon API Gateway on AWS, and Azure Functions and Azure API Management on Azure. Now you can expose your API to the world via either of these platforms.

5. Practice Exercises

  1. Create a Lambda/Azure Function that returns your name instead of "Hello, World!". This will test your understanding of how to modify the code running on AWS Lambda/Azure Functions.

  2. Create an API Gateway/API Management instance that responds to a different HTTP method (e.g., POST instead of GET). This will test your understanding of how to configure API Gateway/API Management.

  3. Create an API that takes in a query parameter and returns it in the response body. This will test your understanding of how to handle incoming requests and modify the response.

Need Help Implementing This?

We build custom systems, plugins, and scalable infrastructure.

Discuss Your Project

Related topics

Keep learning with adjacent tracks.

View category

HTML

Learn the fundamental building blocks of the web using HTML.

Explore

CSS

Master CSS to style and format web pages effectively.

Explore

JavaScript

Learn JavaScript to add interactivity and dynamic behavior to web pages.

Explore

Python

Explore Python for web development, data analysis, and automation.

Explore

SQL

Learn SQL to manage and query relational databases.

Explore

PHP

Master PHP to build dynamic and secure web applications.

Explore

Popular tools

Helpful utilities for quick tasks.

Browse tools

CSV to JSON Converter

Convert CSV files to JSON format and vice versa.

Use tool

JSON Formatter & Validator

Beautify, minify, and validate JSON data.

Use tool

Favicon Generator

Create favicons from images.

Use tool

Random Password Generator

Create secure, complex passwords with custom length and character options.

Use tool

Lorem Ipsum Generator

Generate placeholder text for web design and mockups.

Use tool

Latest articles

Fresh insights from the CodiWiki team.

Visit blog

AI in Drug Discovery: Accelerating Medical Breakthroughs

In the rapidly evolving landscape of healthcare and pharmaceuticals, Artificial Intelligence (AI) in drug dis…

Read article

AI in Retail: Personalized Shopping and Inventory Management

In the rapidly evolving retail landscape, the integration of Artificial Intelligence (AI) is revolutionizing …

Read article

AI in Public Safety: Predictive Policing and Crime Prevention

In the realm of public safety, the integration of Artificial Intelligence (AI) stands as a beacon of innovati…

Read article

AI in Mental Health: Assisting with Therapy and Diagnostics

In the realm of mental health, the integration of Artificial Intelligence (AI) stands as a beacon of hope and…

Read article

AI in Legal Compliance: Ensuring Regulatory Adherence

In an era where technology continually reshapes the boundaries of industries, Artificial Intelligence (AI) in…

Read article

Need help implementing this?

Get senior engineering support to ship it cleanly and on time.

Get Implementation Help