As unpleasant as they are, errors are crucial to software development. When developing an application, we usually don't have full control over the parties interacting with a program and its hosts (including operating system versions, processors, and network speed). It's important you have an error reporting system to diagnose errors and make errors human-readable. In this post, we'll first look at the two common types of errors.
Software developers have a lot on their plate, from writing good code to end-to-end testing. Most of the time, the whole software development process isn’t all smooth sailing. Errors often arise that hinder and slow down the whole production. According to many studies, software project failure rates range between 50% to 80%. While some mistakes can be easily fixed and recovered, others can bring the business to a screeching halt.
Many API developers and companies struggle to find ways to easily set up systems to monetize their APIs. Some are simple but not customizable, some are complex and require massive engineering effort to actually get it all running. To make things easier, Moesif created a feature called Billing Meters which gives massive customizability but with a minimal amount of code and engineering effort.
In our last post, we wrote a basic parser for phone numbers using Elixir. It was a bit simplistic since it didn't really respect the format phone numbers are expected to have, but it was a great start. We'll now improve the parser to ensure we only accept phone numbers that fit the spec and make our return type an instance of structured data. Let's dive straight in!
The Node.js team recently announced the release of version 19. This has the following features: In this article, we will explore the major highlights of this release. We recommend downloading the latest Node.js 19 release to follow along. To verify your version of node: Let's get started!
It costs your business more to acquire a new customer than it does to retain an existing one. Analysis varies when it comes to just how much more, but it’s somewhere in the ballpark of 5X to 25X. As such, defining, measuring and analyzing customer churn – then predicting and proactively reducing it – can save your business money. A lot of money. Here’s how. The cost of acquiring a customer is up to 25 times more expensive than retaining one.
