Imagine you’re writing a serverless API using AWS Lambda and API Gateway. If you want to accept JSON payloads from POST requests that contain data created by your frontend client you may end up needing to validate that data to make sure it conforms to your expectations before you process it. Let’s look at a simple way of doing this with API Gateway’s JSON Schema validation.

This is project 15 in my Twenty Projects in Twenty Days series! This time, we’re looking at how to create an AWS HTTP API with Python. This will be the Python version of yesterday’s project where we created a Surveys service API to track three entities - customers, customer surveys, and survey responses. Let’s get started!

Yesterday, I wrote a post on creating a Cognito Authorizer for an AWS HTTP API. But I didn’t do much with the Lambda functions themselves! In this post, I’ll expand the previous post and show you how to get an entire user profile service up and running with the same architecture using Python or Node.js. Let’s get started!

In this project we reach the halfway point in my 20 projects in 20 days series! We’ll be looking at how I built the Serverless Scorecard to keep track of the fluctuations in popularity of common serverless development tools.

This is the 8th project in my Twenty Projects in Twenty Days series! In this project, we’ll look at how to use Amazon Translate with Python using Boto3 and with Node.js using the AWS SDK for JavaScript. We’ll translate our first text in under 10 lines of code so let’s get started! You can copy the code from the GitHub repo here.