Operations | Monitoring | ITSM | DevOps | Cloud

More than 10 years ago, StatusGator pioneered the concept of a status page aggregator. How was the StatusGator name created? In a group chat, of course! The incubator of crazy ideas and nerdy discussions, our friendly group chat was a place where I originally discussed the product idea, validated its use cases, and solicited feedback on name concepts. I recently unearthed screenshots from the original group chat among my friends.

Recently we hit an exciting milestone at StatusGator: 6,000+ services now tracked! To mark the occasion, we’ve made it even easier to find the apps you care about and report outages: A brand-new, lightning-fast search box is now live on the StatusGator website. It’s built right into the top navigation, accessible from any page — and works beautifully on mobile, too.

Do you know the current reliability risk of your systems? Do you know right now how your services will react to common failures like a dependency going down? Sadly, most organizations don’t have answers to these questions, relying on QA tests and the skill of their engineers to deploy code they assume won’t break. But this is a process problem, which means you can’t hire your way out of it.

Let’s say you want to make sure your website works as expected. You do not want to check if it just loads. You also want to check if important buttons or features are there and working. Oh, and you don’t want to just do it once. You want to keep an eye on this pretty much all the time. And, of course, you don’t want to keep checking manually if anything broke – you want to be notified, alerted when (not if) things break. You can do this by creating a Browser Monitor.

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”.

Modern systems generate enormous amounts of telemetry. The hurdle is collecting clean, connected traces without rewriting code or babysitting a fleet of language agents. That’s why Coralogix backed eBPF from the start. eBPF (extended Berkeley Packet Filter) executes sandboxed programs inside the Linux kernel, without modifying kernel source code. This method allows probes to see every request, at runtime with no instrumentation, and with near zero per‑request overhead.

At this year’s AWS Summit in New York, agentic AI took center stage with Amazon’s launch of Bedrock AgentCore — a powerful step toward turning AI prototypes into scalable, production-ready applications. From low-code workflows to turnkey infrastructure, a new generation of tools is enabling teams of all skill levels to build, deploy, and monitor AI agents faster than ever.

Heroku and Azure offer distinct benefits for startups and mid-size companies. This guide compares the differences between pricing, scalability, security, and developer experience to help you choose the right cloud platform based on your team’s needs and growth goals.

Developer productivity is top of mind for all engineering organizations. As AI accelerates software development, leaders face a fundamental question: Are we truly building faster, or just building more? And more importantly, are we building the right things, and building them well? In this new era, speed alone isn’t enough. High-impact teams must ensure their work aligns with customer value and is delivered with exceptional quality.

SAP Customer Experience (CX) has undergone a remarkable transformation over recent years, evolving from fragmented monitoring to a scalable, automated observability powerhouse. In a recent fireside chat, Martin Norato Auer, SAP CX’s VP of Observability, shed light on the strategies, practices, and measurable impacts behind SAP’s SLA, uptime, and responsiveness achievements.