Today is project five in my Twenty Projects in Twenty Days series! Yesterday, I revisited Nandolytics which showed how to create a homemade analytics service. Today, we’re looking at the latest version of my Chameleon Color Scheme API. This idea has been brewing since the first version I made several years ago. To see what we’re building today, check out the live demo for yourself here! Here’s what it looks like:

Doing this allows us to use a host of AWS services including Lambda, DynamoDB, API Gateway, S3 and more! Let’s take a look now!

Today is the third installment of my Twenty Projects in Twenty Days series! We’ll be following up from yesterday’s post on creating a serverless Flask API on AWS by doing the same thing with Node.js and Express.js!

We’ll be using Express.js, Amazon Web Services, and the Serverless Framework to create a survey API to manage the same three entities as yesterday:

• Customers
• Surveys
• Survey Responses

We’ll also be using the same data storage architecture as last time by using an Amazon DynamoDB table. Similarly, we’re keeping around the same Amazon API Gateway and AWS Lambda architecture. So let’s get to it!

It’s day 2 of my Twenty Projects in Twenty Days series! Let’s look at how we can create a simple API using Python, the Flask Microframework, Amazon Web Services, and the Serverless Framework. This API will help us to manage three different entities:

• Customers
• Surveys
• Responses (to the surveys)

We’ll be storing all this data inside of an Amazon DynamoDB table, making the API endpoints accessible with the Amazon API Gateway, and using AWS Lambda to interact with the DynamoDB table and manage our entities.

I just wrote a guide to using the newly released AWS HTTP APIs with the Serverless Framework. I include several boilerplate code examples for using the HTTP API with Amazon Cognito and JWT Authentication. You can use this feature to create faster and cheaper serverless apis.

I recently wrote a guide about using the Serverless Framework Knative integration to deploy a Kubernetes service on Google Cloud. I go through the whole process of creating your Kubernetes cluster through integrating the Serverless Framework.