Beginner's Guide to AWS Lambda and API Gateway: Building Scalable APIs in Python

📚 AWS Lambda and API Gateway are the default choice for creating APIs, as they offer a serverless and scalable solution.

💻 API Gateway acts as the endpoint for user requests, and it triggers the Lambda function which serves as the backend, capable of interacting with databases and external APIs.

💰 Using AWS Lambda and API Gateway is cost-effective because you only pay for the requests made, eliminating the need for renting EC2 machines.

🔑 AWS Lambda is a function that receives data or parameters when an API request is made.

💡 Lambda functions can be tested by passing test data and checking the output.

🔌 API Gateway can be used to trigger Lambda functions through API calls.

🚀 API Gateway allows the creation of methods and resources to handle requests and call Lambda functions.

🌐 API Gateway can be deployed and made available to users.

🔑 Checking permissions and authentication settings in AWS API Gateway and Lambda

🌐 Identifying and resolving URL and deployment issues in the API Gateway

🔗 Making a GET request to the API Gateway using Postman and verifying the response

🤖 Using chat GP3 to create a function in Lambda and discussing request methods

⚡️ The video is a beginner's guide to using AWS Lambda and API Gateway for common challenges with GET and POST requests.

🔧 The speaker demonstrates how to deploy and test a Lambda function with a POST request, and how to modify the API Gateway to support POST requests.

🐛 The presenter encounters an internal server error when attempting to process a POST request and suggests troubleshooting by checking the CloudWatch logs.

📌 When making a POST request, the HTTP method is set to POST and the request body contains a JSON payload.

🔑 The input string is retrieved from the event body in a Lambda function, but there was an error in accessing it due to incorrect syntax.

🛠️ Through trial and error, the code is modified to correctly print the input string and verify its type.

📚 The video discusses the use of AWS Lambda and API Gateway for handling GET and POST requests in Python.

💡 The speaker initially expected the body of the request to be in JSON format, but it was received as a string instead.

🐍 By using the 'json.dump' function, the body can be converted into a dictionary for easier manipulation.

💡 The video demonstrates common challenges with AWS Lambda and API Gateway when handling input strings and converting them to JSON.

🔁 The incorrect approach of considering the whole request body as a single string and splitting it leads to incorrect output.

🔑 Using the correct method, json.loads(), to convert the input string to a dictionary allows for accurate processing and correct word count.