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The latest News and Information on Observabilty for complex systems and related technologies.

What's New in Network Observability for Summer 2026

As a network engineer, you likely face two persistent operational challenges every day: When you have to manually track device lifecycles on spreadsheets or spend your scheduled maintenance periods troubleshooting software upgrades, you lose the time you need to proactively ensure network performance. Over the past six months, we have continued to enhance Network Observability by Broadcom. These latest enhancements directly address the operational challenges outlined above.

The Four Pillars of AI Observability in 90 Seconds

AI applications can behave unpredictably, potentially leading to errors such as hallucinations or data leaks, even when classic monitoring indicates a successful response. To effectively monitor AI systems, four key areas should be focused on. Implementing these pillars can enhance trust in AI deployments, help manage costs, and identify safety issues before they impact users.

Observability on Windows, before eBPF is production-ready

No large enterprise runs a single stack. A shiny new Kubernetes cluster sits right next to a Windows Server box that has quietly run the billing system for a decade without missing a beat. Both keep the business running. Both deserve the same visibility. Linux runs most server workloads, and Coroot grew up there. Our open-source node-agent uses eBPF to collect metrics, logs, traces, and profiles, with no code changes. But "most" is not "all".

Using Evaluation Frameworks with Agent Observability

AI teams have invested heavily in evaluation frameworks, yet getting those frameworks beyond local experimentation remains challenging. Teams using open source libraries like DeepEval and Pydantic Evals gain flexibility and research-grounded metrics, but operationalizing those evaluations still requires brittle custom integration code that doesn’t scale.

Monitoring vs. observability: The future of IT operations in 2026

For years, monitoring was the gold standard of infrastructure management. Dashboards. Thresholds. Alerts. If everything on the dashboard was green, you didn't need to worry. If something turned red, you responded. It was a model built on predictability, and for a long time, it worked. But modern infrastructure is no longer predictable.