Systems | Development | Analytics | API | Testing

Debugging and Tracing in Erlang

In part one of this series, the debugging tools we used — Elixir's IO.inspect/2, IEx.pry, and dbg/2 — required us to insert changes into code directly. Outside the development environment, you probably won't (and shouldn't) have access to your code. Erlang has a few tools to debug code at runtime: :debugger, :dbg.tracer, and :observer. First, let's look at the:debugger, a graphical debugging tool. Let's get going!

Debugging Applications in Production with Service Mesh

As an application developer, have you ever had to troubleshoot an issue that only happens in production? Bugs can occur when your application gets released into the wild, and they can be extremely difficult to debug when you cannot reproduce without production data. In this blog, I am going to show you how to safely send your production data to development applications deployed using a service mesh to help you better debug and build production proof releases.

Debugging in Elixir and Erlang: An Introduction

Welcome to part one of this two-part series on debugging in Elixir and Erlang. In this post, we'll use several different tools and techniques to debug Elixir code. First, we'll get to know the demo project I created to showcase certain tools: dist_messenger. It's an Elixir project of a distributed messaging system that can be used directly on IEx. It allows users in different nodes to send and receive messages to each other.

Debugging in Ruby with AppSignal

An application monitoring tool (APM) is not just useful for seeing how your application performs through graphs and visuals. We can go deeper and use an APM to understand how your application behaves in a certain environment. As developers, we should aim to be less reactive to errors and more predictive, avoiding crashes for end-users. One way to accomplish this is by using monitoring tools to debug our application when an error occurs.

Essential Java Skills for Every Developer's Career

First introduced to the world back in 1996, Java today is still very much in demand. Over 35% of programmers worldwide worked in this language in 2021. Moreover, it is firmly among the three most popular programming languages in the TIOBE index. What does it mean for you as a beginner Java developer? It means you’ll have to gain a competitive advantage to advance in your career successfully. Let’s take a look at the essential tech and soft skills you need to perfect.

Principles of Debugging

It is pretty common to envision software developers spending most of their time writing fancy code, building new, shiny features for applications, and smoothly deploying them to production. However, the reality is usually messier. Things break all the time — your code fails, the system runs out of memory, exceptions go unhandled, dependencies conflict, servers overload, slow requests take forever, and whatnot.

11 Java Debugging Tips for Developers with Eclipse

Debugging your code is one of every developer's worst nightmares. Debugging Java code is a difficult task. It is the process of detecting and fixing bugs or errors in code, projects, or applications. For any Java developer, debugging is a must-have ability. The ability to debug a Java program allows you to uncover any subtle bugs that aren't obvious during code review or appear when a specific situation occurs. This article offers some tips for debugging Java code.

How to fix JavaScript Errors

Even if we have a good project plan and a logical concept, we will spend the majority of our time correcting errors. Furthermore, our application can run without obvious errors with JavaScript, we must use various ways to ensure that everything is operating properly. The majority of JavaScript errors in our web applications will be eliminated if we understand both the syntax and how JavaScript works. Furthermore, numerous web services can help us in catching all of them.

Debugging Your APIs with Postman and Moesif

Debugging APIs can be a challenge for any developer dealing with RESTful APIs. Trying to create an exact API request, especially for highly complex requests with large API request bodies and multiple headers, is essential but also tough to do. By using a tool like Postman to create a request for debugging purposes and as an API client, you can easily replay an API request with the exact configuration of the original request.