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.
I’d like to start accepting sponsorship to this blog soon and I’d like your feedback. I think that accepting sponsorship will allow me to commit more to creating free educational content for everyone. If done correctly, I think it can be a win-win for everyone. But I want to make sure that you feel that way too.
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!
As project fourteen of my Twenty Projects in Twenty Days series I’ll show you how to create an AWS HTTP API with Node.js. We’ll design it around the same serverless survey service that I’ve previously shown using Express.js and using Flask. It’ll be used 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!