Operations | Monitoring | ITSM | DevOps | Cloud

How to debug a Next.js production bug with Logs and Sentry

Stack traces tell you what broke. They rarely tell you why. In this video, Serge walks through a real Next.js production bug that only affected Firefox and Safari. The error showed up clearly in Sentry, but the stack trace alone wasn’t enough to explain what was going wrong. The missing piece turned out to be logs. You’ll see how adding logs to a Next.js API route exposed unexpected request data, how those logs connected back to traces, and how that context made the root cause obvious and easy to fix.

Unity SDK 4.0.0: Console support, logs, user feedback and more

We just released the Sentry SDK for Unity 4.0.0 , our biggest update yet. This major release brings comprehensive gaming console support, structured logging, user feedback capabilities, and significant improvements to help you build better games across all platforms. Here's what's new.

Trace-connected structured logging with LogTape and Sentry

As our applications grow from simple side projects into complex distributed systems with many users, the “old way” of console.log debugging isn’t going to hold up. To build truly observable systems, we have to transition from simple text logs to structured, queryable, trace-connected events.

Another year, another $750,000 to Open Source maintainers

Bored yet? 2025 was the fifth year in a row (2024, 2023, 2022, 2021) that Sentry gave a pretty hefty chunk of change to the maintainers of the Open Source software that we rely on and love. This is our first report since we launched the Open Source Pledge, which brings together companies that share our respect for the independent maintainers in the community. Pledge members have collectively paid $4.5M to Open Source maintainers and foundations since launch. No more excuses!

Building a Code Review system that uses prod data to predict bugs

This post takes a closer look at how Sentry’s AI Code Review actually works. As part of Seer, Sentry’s AI debugger, it uses Sentry context to accurately predict bugs. It runs automatically or on-demand, pointing out issues and suggesting fixes before you ship. We know AI tools can be noisy, so this system focuses on finding real bugs in your actual changes—not spamming you with false positives and unhelpful style tips.