**Course Title:** Cloud Platforms: Foundations and Applications **Section Title:** Building Serverless Applications **Topic:** Build a serverless application using AWS Lambda and API Gateway.(Lab topic) **Introduction:** In this lab, you will learn how to build a serverless application using AWS Lambda and API Gateway. You will design, deploy, and test a real-world application that demonstrates the power of serverless computing. By the end of this lab, you will be able to build and deploy your own serverless applications using AWS Lambda and API Gateway. **Prerequisites:** * You should have a basic understanding of AWS services, including IAM, S3, and API Gateway. * You should have a basic understanding of serverless computing concepts, including event-driven architecture and triggers. * You should have an AWS account and be familiar with the AWS Management Console. **Lab Objectives:** * Design and deploy a serverless application using AWS Lambda and API Gateway. * Understand how to use AWS Lambda to process events and trigger API Gateway. * Learn how to use API Gateway to create RESTful APIs and integrate with AWS Lambda. * Test and debug a serverless application using AWS Lambda and API Gateway. **Step 1: Create an AWS Lambda Function** To create an AWS Lambda function, follow these steps: 1. Log in to the AWS Management Console and navigate to the AWS Lambda dashboard. 2. Click on "Create function" and choose "Author from scratch". 3. Choose "Node.js" as the runtime and give your function a name, such as "hello-world". 4. Set the handler to "index.handler" and set the role to "lambda-execute". 5. Click on "Create function" to create the Lambda function. Here is an example of a simple AWS Lambda function written in Node.js: ```javascript exports.handler = async (event) => { const response = { statusCode: 200, body: JSON.stringify('Hello from Lambda!'), }; return response; }; ``` **Step 2: Create an API Gateway Rest API** To create an API Gateway REST API, follow these steps: 1. Log in to the AWS Management Console and navigate to the API Gateway dashboard. 2. Click on "Create API" and choose "REST API". 3. Give your API a name, such as "hello-api". 4. Click on "Create API" to create the API. **Step 3: Integrate AWS Lambda with API Gateway** To integrate AWS Lambda with API Gateway, follow these steps: 1. Create a new resource in your API Gateway REST API by clicking on "Create resource". 2. Choose "Lambda function" as the integration type and select the Lambda function you created in Step 1. 3. Set the method to "GET" and set the path to "/hello". 4. Click on "Save" to save the integration. **Step 4: Test the Serverless Application** To test the serverless application, follow these steps: 1. Deploy the API Gateway REST API by clicking on "Deploy API". 2. Test the API by navigating to the API Gateway REST API console and clicking on the "TEST" button. 3. Verify that the API returns the expected response, which is "Hello from Lambda!". **Conclusion:** In this lab, you learned how to build a serverless application using AWS Lambda and API Gateway. You designed and deployed a real-world application that demonstrates the power of serverless computing. You also learned how to integrate AWS Lambda with API Gateway and test a serverless application. **Additional Resources:** * AWS Lambda Developer Guide: https://docs.aws.amazon.com/lambda/latest/dg/deploying-lambda-apps.html * API Gateway Developer Guide: https://docs.aws.amazon.com/apigateway/latest/developerguide/welcome.html **Help and Support:** If you have any questions or need help with this lab, please leave a comment below. We will be happy to assist you. **Next Topic:** In the next topic, we will explore machine learning services in the cloud. We will learn about the different types of machine learning services available in the cloud, including supervised and unsupervised learning, and deep learning. We will also learn about the benefits and challenges of using machine learning services in the cloud. Topic: Exploring machine learning services in the cloud. (from Advanced Cloud Services and Use Cases)