Node.js Crash Course


I’ve been doing Node full-time at work and noticed a lot of other people lacking a centralized resource to get up and running quickly. There are a lot of wonderful resources out there for Node, a Google search away, but hopefully this document should get you coding quickly as well as able to communicate effectively with other Node developers.

I’ve tried to write this list in order of most important things you need to know. Feel free to skip around.
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Error Handling Strategies


There are various ways of handling errors in programming. This includes not handling it. Many languages have created more modern ways of error handling. An error is when the program, intentionally, but mostly not, breaks. Below, I’ll cover the 4 main ones I know: try/catch, explicit returns, either, and supervising crashes. We’ll compare various languages on how they approach errors: Python, JavaScript, Lua, Go, Scala, Akka, and Elixir. Once you understand how the newer ways work, hopefully this will encourage you to abandon using potentially program crashing errors via the dated throw/raise in your programs.
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AWS Adventures: Part 2 – Infrastructure As Code, Deploying a Microservice



In the old days, you’d write code and allow another team called Operations (or OPs for short) to deploy it to various servers for testing, and eventually production. Quality Assurance teams would be testing your code from a few days to a few weeks ago on another server.

Developer tooling, infrastructure as a service, and shorter development cycles have changed all that. The Amazon practice of “you build it, you own it” has started to filter out to other companies as an adopted practice. Teams are now expected to build, deploy, and maintain their own software.

Today, I wanted to cover what I’ve learned about automated deployments around AWS. You’ll learn why you don’t need Ansible, Chef, or even Serverless, and instead can use AWS API’s to do everything you need.

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Functional Programming for OOP Developers: Part 2 – No Errors and Getting Things


In my journey to learn functional programming and drink deep of the kool-aid, I wanted to share my latest learnings. Specifically around the quest for no errors and how you get things.

I’ve also just recently applied these same concepts in Python, not just JavaScript, so I’ll mix and match the examples to show how the concepts are universal.

After reading this article, you should understand why errors aren’t helpful embedded in your code & avoiding them is good and why we use functions to get things instead of the old way of assigning variables. Check out the first article if you missed it.
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