Systems | Development | Analytics | API | Testing

Integration testing is an essential part of development, ensuring applications can survive the rigors of deployment and function in the real world. Getting the most out of them is key. It’s about making sure you write meaningful tests that ensure your code works as expected. If you’re running integration tests in Python, you may appreciate better visibility and deeper insights into application errors.

If you've been writing anything more than "Hello world" programs, you are probably familiar with the concept of errors in programming. They are mistakes in your code, often referred to as "bugs", that cause a program to fail or behave unexpectedly. Unlike some languages, such as Go and Rust, where you are forced to interact with potential errors every step of the way, it's possible to get by without a coherent error handling strategy in JavaScript and Node.js.

Integration testing verifies that multiple components of your Django application work together correctly. Unlike writing unit tests that examine isolated functions or methods, the Django integration testing process validates entire user workflows, tests database transactions, and system interactions. Django's testing framework provides specialized tools for creating realistic automated test scenarios that mirror production environments.

When your application suddenly fails at 3 AM, logs will be your best friend the next morning. But until this happens, we often treat logs as an afterthought. Sometimes there is a discussion on log levels or wording of the message, but we rarely go beyond that. After all, what's so interesting in pushing out a bunch of letters, perhaps with some additional metadata, which we will not use 95% of the time? The Elixir Logger module has us covered well. It's a solid foundation for our basic logging needs.

Deploying more than one web application on a single server used to require a lot of infrastructure fiddling. Docker made this better, but some things that are new in Kamal 2 make deploying containerized applications even easier. Kamal is a deployment tool from Basecamp that leans on Docker and its own integrated proxy to simplify deploying web apps. Kamal 2 makes deploying more than one Rails app to the same server easier.

Today, we're going to have a little history lesson for those of you who haven't been around since forever, but for those of you who have been around since forever, hopefully this will be a nostalgia fest. We can enjoy some good memories together. From FTP to Kamal, an oral history of deploying Rails apps. Watch the video for the full story!

With its vast ecosystem, Elixir offers multiple solutions for running things in the background. To a newcomer or even an experienced developer, the variety of options might seem daunting. Some tools that used to be popular have fallen into the maintenance limbo, while others have emerged as default choices.

I don't have a degree in computer science, and it's okay if you don't either! Lots of us Rubyists don't have formal computer science credentials. So for a long time, I avoided learning about big-O notation. It looks a little too much like higher math. I mean just look at something like: O(N^2). Come on!

Building a faster, more reliable, scalable, and efficient API requires the use of an appropriate framework and tools. The communication protocol used to build an API usually has a significant impact on its effectiveness and speed. Jump in with us and learn how to build a gRPC Node.js API.

There are many problems that JavaScript’s single-threaded nature causes developers. Chief among them is combining long-running tasks with the UI components simultaneously. This sort of issue can cause a huge problem in a web app when a CPU-intensive task blocks the rendering of UI components, making the webpage freeze.