Error Handling Strategies

Introduction

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

Introduction

 

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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AWS Adventures: Part 1 – Lambda

Introduction

At the beginning of October, I started a new project to help my team move a 12 year old application to the cloud. I knew next to nothing about Amazon, or their infrastructure offerings called AWS. In the past 3 months I’ve learned a ton. Today I wanted to share what I’ve learned about Lambdas: Functions you run in AWS.

Also known as serverless architecture.
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