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.

ARGGG! The internet went out. What to do while I wait? I know! Write a bash script to let me know when the internet is back up!

A few days ago I needed to test a Lambda function build script for my recent Pluralsight course on a Windows machine. One of my course viewers notices that the bash build script I’d written for unix environments was incompatible with Windows bash. Because of this I needed to write a custom .bat script for windows environments. Only one problem, I don’t own a Windows machine, and I don’t want to.

Recently I was trying to use the psycopg2 libraries for Python in combination with AWS Lambda. My first hint that this was probably overkill was that the function package, when zipped, started exceeding 50MB. AWS console errors quickly reminded me that 50MB is the size limit for Lambda packages. After correcting a few mistakes (my virtualenv bundled in with my dependencies - Whoops!) and trimming some dependencies I started testing again. This time with a function package just a few bytes under the limit.