Operations | Monitoring | ITSM | DevOps | Cloud

A 2017 study by Google, researchers found: That was over 8 years ago. And let’s be honest, it’s not likely users have found any additional patience in that time. Web Vitals are a set of performance metrics defined by Google that measure user experience. They focus on things like LCP (how long the main content takes to load), INP (how quickly the page responds to input), and CLS (how visually stable the app is, meaning whether content shifts unexpectedly).

This is a guest post by Simon Grimm, founder of Galaxies.dev, a platform dedicated to helping developers master React Native through hands-on courses, expert guidance, and personal support. React Native performance matters more in 2025 than ever before. With the New Architecture now stable and apps competing against lightning-fast native experiences, users expect sub-second load times and buttery-smooth 60fps interactions.

TL;DR - Starting today, you can instrument most server-side JavaScript SDK based MCP servers with one line of instrumentation code within your MCP SDK implementation. Click to Copy Click to Copy With this in place, you’ll be able to see details like protocol usage, client usage, traffic, tool usage, and performance across your MCP implementation.

Unity has a reputation for handing out surprises: the play-mode freeze just after a hot-reload, the sudden sea of pink materials, or the stack trace that politely reminds you your transform was null all along. Rather than letting those moments derail the rest of your sprint, this post rounds up four of the most common runtime offenders, and shows you exactly how to trigger, spot, and fix each one.

After making Session Replay GA for Mobile, the adoption rose quickly and more feedback reached us. In less great news, our Apple SDK users reported that the performance overhead of Session Replay on older iOS devices made their apps unusable. So we went on the journey to find the culprit and found a solution that yielded 4-5x better performance in our benchmarks.

Debugging a production issue with Cursor? Your workflow probably looks like this: Alt-Tab to Sentry, copy error details, switch back to your IDE, paste into Cursor. By the time you’ve context-switched three times, you’ve lost your flow and you’re looking at generic suggestions that don’t show any understanding of your actual production environment or codebase.

Not everything in production is on fire. Sometimes it’s just... a little warm. A page that loads a second too slow. An API that returns way more than anyone asked for. A query that feels totally fine until someone sends something unexpected and suddenly you’ve got an incident.

You’ve shipped an AI feature. Prompts are tuned, models wired up, everything looks solid in local testing. But in production, things fall apart—responses are inconsistent, quality drops, weird edge cases appear out of nowhere. You set up evals to improve quality and consistency. You use Langfuse, Braintrust, Promptfoo—whatever fits. You start running your evals, tracking regressions, fixing issues, and confidence goes up as a result. Things improve.

Caching is great! When it works… When it fails, it puts a big load on your backend, resulting in either a self-inflicted DoS, increased server bills, or both. This article is inspired by a real-world incident that happened to npm back in 2016. In the next part, Ben recounts his personal experience responding to the incident while working at npm.

Debugging during development is easy. You've got a debugger, stack traces, and logs right in front of you. But once your Godot game is in the hands of players, things get trickier. Most won’t report bugs, and if they do, you’re lucky if they include anything more than “it crashed”.