Operations | Monitoring | ITSM | DevOps | Cloud

Raygun

Responsible engineering prevents costly failures in a scaling world

Here at Raygun, we are committed to providing awesome digital experiences. Technology can transform the digital world, just like the physical one, for the people’s benefit. We believe responsible engineering drives this transformation, which we summarize as follows: In this article, we demonstrate how these core principles—which we all share at Raygun—have informed the design of our tools.

Top 6 JavaScript errors and how developers can fix them

JavaScript errors are every developer’s nightmare. They’re not just irritating—they can stop your project dead in its tracks. And let’s face it, whether you’re a seasoned pro or just getting started, you’re bound to encounter these mistakes. But why keep tripping over the same issues? At Raygun, we’ve seen it all when it comes to JavaScript errors, and we know which ones are the real time-wasters.

Efficiency in Development with the co-founders of Uno Platform

Bridging the Productivity Gap in an Era of Modern Development. On the next episode of Founder & Friends, John-Daniel (JD) Trask will sit down with two incredible cross-platform experts, Francois Tanguay and Sasha Krsmanovic from Uno Platform. Francois Tanguay, CEO & co-founder of Uno Platform comes to the table with a deep technical background and sharp business acumen; Francois has built multiple companies from the ground up.
Sponsored Post

Effortless error monitoring for Adobe Commerce: Introducing the free Magenizr Raygun module

At Magenizr, we're always looking for tools to make life easier for developers and merchants. Not too long ago, we found ourselves in a bind. We were scouring the Adobe Commerce Marketplace and Github repositories for an error monitoring app tailored for e-commerce shops but came up empty-handed. New Relic was overkill for shops that just needed to pinpoint where errors were cropping up.

2.5X faster and 88% cheaper error resolution with GPT-4o mini and Raygun

In May, GPT-4o was released, refining the GPT-4 architecture with native multi-modal input support, faster speeds, and a cheaper price per token. This week, with the release of GPT-4o mini, it’s even more cost-effective and quicker. This model is considered better than GPT-3.5 Turbo, being faster and smarter—a win all around. Let’s put it to the test in a real-world application to see just how good it is for software developers.
Sponsored Post

Enhancing Aspire with AI: integrating Ollama for local error resolution

In this article, we'll explore how we developed an Aspire component that spins up an Ollama container and downloads a Large Language Model, ready for use. If you're new to any of these technologies, you can continue reading, otherwise feel free to skip to the technical walkthrough. As a quick bit of background, we recently released an Aspire component that brings a free, lightweight Raygun app into your local development environment to help debug exceptions. We then subsequently enhanced this with AI Error Resolution capabilities which runs entirely on your local machine.

Raygun4Net update: Portable PDBs and offline storage

We’re excited to roll out support for Portable PDBs and offline error storage in Raygun4Net 11.0.0. In this article, we’ll break down these features and how they can enhance your error identification and debugging process. Ever seen an error in Raygun but missing the file and line number in the stack trace? This happens when debug symbols aren’t available at runtime. With Portable PDB support, this issue is resolved.