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.
Section overview
5 resourcesExplains 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
-
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 hitCreate function. -
Create an API Gateway: In the AWS console, navigate to API Gateway and click on
Create API. SelectREST APIand hitBuild. Fill in the details and hitCreate API. -
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 Functionand choose the Lambda function you created earlier.
Azure
-
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 hitCreate. -
Create an API Management instance: In the Azure portal, navigate to API Management services and click on
Add. Fill in the details and hitCreate. -
Import the Azure Function into API Management: In the API Management instance, click on
APIsin the left menu, thenAdd API, thenFunction 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
-
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.
-
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.
-
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.
Related topics
Keep learning with adjacent tracks.
Popular tools
Helpful utilities for quick tasks.
Random Password Generator
Create secure, complex passwords with custom length and character options.
Use toolLatest articles
Fresh insights from the CodiWiki team.
AI in Drug Discovery: Accelerating Medical Breakthroughs
In the rapidly evolving landscape of healthcare and pharmaceuticals, Artificial Intelligence (AI) in drug dis…
Read articleAI in Retail: Personalized Shopping and Inventory Management
In the rapidly evolving retail landscape, the integration of Artificial Intelligence (AI) is revolutionizing …
Read articleAI 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 articleAI 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 articleAI in Legal Compliance: Ensuring Regulatory Adherence
In an era where technology continually reshapes the boundaries of industries, Artificial Intelligence (AI) in…
Read article