Bugsink 1.3 is here! The biggest change? An optional way to store event data outside the database, making large-scale setups more efficient.

Bugsink stores events verbatim, preserving all details for later debugging and analysis. Until now, these events were always…

Bugsink 1.2 is here, bringing better reliability and performance at scale. This release focuses on making Bugsink more efficient, especially when dealing…

Apparently, two hours is too short for a “hard bug.” I recently shared a story about an AI-induced crash in my code, which…

We're switching to the Polyform Shield License, making Bugsink free for non-competing uses, and we're introducing a hosted option.

AI-assisted code introduces new types of bugs. Here's how LLM-assisted coding gave me 2024's hardest-to-find bug.

Handled errors explained: What they are, why they matter, and how to use them to debug and improve your app.

dsnrun is a small utility that lets you run any Python script with sentry_sdk enabled, without needing to modify the script itself.

In Python, exceptions can be chained to provide context about what went wrong and why. This is achieved through the "raise ... from" construct…

Django provides built-in error tracking that sends email reports for unhandled exceptions. While this is a good starting point, it lacks the features needed to effectively manage and debug errors in a live application. For a more robust solution…

There are times when you want to log "something interesting" that isn't quite an error, but still something that's interesting enough to get the same rich debugging context. This article shows how.

I'm thrilled to announce the release of Bugsink 1.0! This version reflects everything we’ve learned during the beta phases and earlier releases.

In this article, I’ll argue that APM tools are a trap. They encourage a reactive approach to performance, mask deeper design issues, and come with real costs that often outweigh the benefits. Instead of empowering…

Bugsink is built to help you track and fix errors in your applications as they are deployed in production. But why not just use it in local development too? I do, and it's awesome. Here's why…

Learn how to quickly build disposable Python web servers to solve specific problems, without the overhead of complex configurations. Perfect for debugging and quick testing.

Explore how Python stacktraces with chained exceptions can become confusing puzzles and solve a few puzzles of your own.

I stumbled upon a practice that I call “on-site content farming”, where otherwise non-spammy companies are creating spammy “howto” articles on their actual website.

A rant about the obsession with scalability, and how it can lead to over-engineering and complexity.

Directly seeing the values for local variables in your stacktrace is invaluable for debugging — in fact it's one of the main reasons Bugsink is so useful. However: what actually gets captured depends on…

I'm excited to announce that Bugsink is now in public beta! We've been in private beta for most of September, and the feedback has been overwhelmingly positive.

In the early 2010s, I was a big fan of Sentry. It was a great tool for tracking errors in web applications. At the time, I was making software for law firms, so sending error reports to a third-party service was out of the question, I needed…

Since Bugsink is only available self-hosted (we don't host it for you), we are obsessed with making installation as easy as possible. In an earlier article, we talked about how we do this by removing as many moving parts as possible. In this…

Bugsink, our error tracking tool, is offered exclusively as a self-hosted piece of software. In a world dominated by SaaS solutions, this raises a critical two-part question: can we still persuade people to install their own software at…

In the world of modern software deployment, Docker has become a de facto standard. Its ability to create isolated, consistent environments has made it indispensable for developers and operations teams alike. However, running multiple…

Most software is bloated, meaning: it's taking both a lot more space to store (both in memory and on disk) and more time to run than required…