Go has built-in features to make it easier for programmers to implement logging. Third parties have also built additional tools to make logging easier. What's the difference between them? Which should you choose? In this article Ayooluwa Isaiah describes both of these and discusses when you'd prefer one over the other.
When you deploy a new Rails app, you typically face a double-bind. If you use an easy platform like Heroku, you could create problems for yourself as your application scales. If you use a more fully-featured platform, you risk wasting time on ops that could be spent on your product. What if you could have both: an easy deployment option that is easy to scale? In this article, Amos Omondi argues that AWS Elastic Beanstalk gives us both, then he shows us everything we need to know to get a Rails 6 app up and running on EB.
If software's been eating the world for the past twenty years, it's safe to say machine learning has been eating it for the past five. But what exactly is machine learning? Why should a web developer care? This article by Julie Kent answers these questions.
Are you on DEV? Did you know that it's open-source, and that it uses Honeybadger? We just launched a new feature to help communities like DEV fix more errors together!
How often do you think about the bits -- the ones and zeroes -- that make up your app's data? If you're doing web development in Ruby there's rarely any need to. But what if you want to interact with the operating system or a piece of hardware? What if you'd like to understand network protocols or databases? In that case, a solid understanding of bitwise operators is foundational. In this article José M. Gilgado will introduce you to bitwise operations in Ruby, give practical examples of how they can be useful, and finish big with with some fun math tricks.
The ability to search through individual error events (we call them Notices) has been one of our most requested features. Today we are shipping an updated section to our Errors page that allows you to do exactly that.
As programmers we often have to mentally run code. To imagine how a program will behave given certain inputs. This is hard enough for experienced developers. But for juniors? It can seem impossible. In this article, Melissa Williams argues that pry is an invaluable tool for junior rubyists because it allows them to see exactly what is going on as their code is run.
Have you ever been neck-deep building a new feature? You're working at capacity. You need to test something out so you paste an API key into your source file with every intention of removing it later. But you forget. You push to GitHub. It's an easy mistake, and potentially a very expensive one. In this article, Julien Cretel explores the nuances of this kind of data leak, offers suggestions for recovery when leaks happen and gives us options for preventing them in the first place.
We've all worked with tightly-coupled code. If a butterfly flaps its wings in China, the unit tests break. Maintaining a system like this is...unpleasant. In this article, Jonathan Miles dives into the origins of tight-coupling. He demonstrates how you can use dependency injection (DI) to decouple code. Then he introduces a novel decoupling technique based on delegation that can be useful when DI is not an option.
As a Ruby developer you probably use tools like Sidekiq that rely on concurrency. But would you know how to *build* your own sidekiq, or add concurrency to an existing app? This article will open Ruby's concurrency toolbox and show you how each tool works. It shows you how to solve the same problem in multiple ways, so you can compare tools. And it looks at new tools that might possibly ship with future versions of ruby.