Operations | Monitoring | ITSM | DevOps | Cloud

Debugging

Live Kubernetes Debugging with the Elastic Stack

Your Kubernetes app is down. Your users start ranting on Twitter. Your boss is standing right behind you. What do you do? We are using the Elastic Stack in this demo with a special focus on its Kubernetes integration with metadata enrichment and autodiscovery in combination with APM / tracing, metrics, logs, and health checks.

Parsing Query Strings in .NET Core

We recently needed to parse and modify some query strings while building Request Metrics. Query string parsing has never been pleasant in .NET, has it improved in .NET Core? We were familiar with HttpUtility.ParseQueryString() for the task, but that API has a major landmine. With the release of .NET Core, Microsoft took another swing at it. We figured we’d try the new way and see how they did! If you want the fully uncensored version, check out the video above.

A Practical Guide to JavaScript Debugging

Being a UI developer, I’ve learned one thing: It doesn’t matter how carefully you write your code. Suppose you’ve double-checked that you defined and called all functions the right way or followed all the best practices. Even then you’ll see that a tiny variable can sneak behind and create an error. Now, suppose you find out that for some unknown reason a form validation or submit button isn’t working.

Building Request Metrics

We’ve been working on something big. We’re building Request Metrics, a new service for web performance monitoring. TrackJS is a fantastic tool to understand web page errors, but what if your pages aren’t broken, just slow? What if the checkout page takes 10 seconds to load? What if that user API is slowing down from your recent database change? What pages have the worst user experience? Request Metrics will tell you that.

Effective Profiling in Google Chrome

This blog post will explain how to effectively profile your website so that you can deal with performance pain points. We’ll go through the two most used tools in Google Chrome for profiling: Imagine that you optimized your backend and everything is running smoothly. However, for some reason, the load time of your pages is still unreasonably high. Your users might be experiencing sluggish UI and long load times. This post will help you sort these issues out.

New debugging superpowers with Discover

Sentry makes it pretty easy to connect a customer-facing issue right to the line of code, the release, and even the commit that caused it. At least that’s what developers tell us on Twitter. But you’re rarely working with obvious errors or errors affecting just one user. That’s why we added some new features to Discover and made diagnosing root causes even easier.