Operations | Monitoring | ITSM | DevOps | Cloud

We’ve been quietly solving a problem that most teams haven’t hit yet, but they’re about to. SSL certificate lifetimes are dropping to 47 days. If you’re managing certificates manually today, you have a very short window before that becomes a real operational problem. We know, because it happened to us first.

I was looking at a customer’s error report last week. A TypeError buried three callbacks deep in a checkout flow that made no sense. The code around it was clean, well-structured, and completely wrong about how the Stripe API actually works. Turns out it was vibe-coded. Someone prompted their way through the integration, it passed code review because it looked reasonable, and it worked fine right up until a customer’s card got declined for the first time. That’s the new normal.

AI didn’t replace developers. It replaced the part where you were forced to understand what you just shipped. Now you can prompt your way to a feature, skim the diff, and merge something that “seems reasonable.” And then production does what production always does: finds the one weird browser + one slow network + one user flow that turns your “reasonable” code into a bonfire. So who watches the vibe coder?

I recorded a video showing how to properly set up TrackJS for a new production website, specifically CertKit, our new certificate lifecycle management tool. The key to effective error monitoring isn’t just installing the tracking snippet, it’s configuring the system to surface real issues while filtering out the noise. I configure a forwarding domain (errors.certkit.io) to bypass ad blockers that might prevent error reporting.

There’s a lot of JavaScript developers these days not actually writing code. They whisper sweet prompts to our AI tools and hope for the best. Is it really any worse than copy-pasting from StackOverflow? Welcome to the era of vibe coding, where understanding your code is optional and “it works on my machine” has evolved into “the AI said it would work.”

Your Angular app just crashed in production with ‘ERROR Error: Uncaught (in promise): ’. Sound familiar? After debugging countless production fires, I’ve learned that proper error handling isn’t optional—it’s the difference between sleeping through the night and getting paged at 3 AM.

Remember when JavaScript was just for making snowflakes fall on your GeoCities page? Those were simpler times. Now we’re building entire applications in the browser, and surprise! JavaScript wasn’t exactly designed with memory management in mind. While other languages have garbage collectors that actually, you know, collect garbage, JavaScript’s garbage collector is more like that roommate who promises to clean but just shoves everything under the bed. The real kicker?

Redux remains a cornerstone of React state management, but developers continue to encounter persistent bugs and new challenges. State mutation errors remain the most common Redux bug, affecting over 70% of Redux applications, while new issues emerge with Redux Toolkit 2.0, TypeScript integration, and React 18/19 compatibility. This comprehensive guide explores the most prevalent Redux debugging challenges and provides practical solutions for modern development.