Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

When organizations first begin deploying workloads on Kubernetes, it's common for them to start with a permissive egress traffic policy that allows any workload to reach the internet. This approach can make it easier for teams to stay agile and to get services up and running in fast-moving environments. But as your Kubernetes footprint grows, it's important to minimize public internet access on a per-workload basis to improve your organization's security posture.

In today’s digital world, how well your applications perform has a big impact on how people see your business, and how well it runs. Whether you are in finance, e-commerce, SaaS, healthcare, or media, your users expect everything to work smoothly, all the time. Even a few seconds of slow performance can lead to lost sales, lower productivity, and unhappy customers. That’s why Application Performance Monitoring (APM) is so important.

OpenLLMetry extends the industry-standard OpenTelemetry framework with features specifically for monitoring large language model (LLM) and GenAI application behavior.