I recently wrote a script that switches your AWS default profile. After coming back to it a few weeks later I realized I could make it more elegant by relying directly on the ConfigParser library to modify the configuration instead of doing a line by line search and edit.

I recently splurged on a vanity domain that I realized I didn’t have time or interest in developing into a full-blown blog or microsite. Because of this I decided it would just be best to redirect it to this blog.

The problem is that I’m too cheap and lazy to pay for and manage a small server running Apache or Nginx. This can be a perfectly good option, but the last thing I want is to waste time on server management/config just to forward a vanity domain.

Instead of paying for a dedicated server for this task I opted to use AWS S3 and Route 53 to forward my domain for me. These cost me a fraction of the price of the smallest rentable EC2 instance. It also means that after I get it setup I never have to deal with the pains of configuration or server management.

Here’s how you can setup your own vanity or typo domain forwarding without paying for a web server.

I frequently find myself switching between AWS profiles, especially when I’m home from work switching between side projects on different AWS accounts. I got tired of opening and editing my credentials file manually so I wrote a Python script and a Bash function to do it for me. You can use it too!

Meet Sparrow - a Twitter bot shell that makes it easier to create interesting automated accounts. In this post I’ll show you how to make a simple automated Twitter bot on AWS using Sparrow and AWS Lambda. Better yet, it’s all free!

This post was originally appeared on the Pluralsight Blog on February 28, 2017. Be sure to check out my Pluralsight course that can introduce you to AWS Lambda!

Maintaining data warehouses can be a difficult undertaking for any organization. Not only do you have to establish processes and procedures for regularly loading flowing data, you also have to ensure you’re doing it in a way that’s resistant to failure and future errors. In this post, we’ll take a quick look at some of the biggest challenges of maintaining large scale data warehouses, and how AWS Lambda can help.