It’s Halloween season, and while everyone else is worried about ghosts and goblins, you—the sysadmin holding the fort—know the real terror: that dusty print server in the corner that’s been running firmware from 2014. Or the Raspberry Pi someone set up to monitor the server room temperature "temporarily" three years ago. Or the CEO’s personal tablet that absolutely must connect to the internal network because "it’s just easier this way.

Organizations invest heavily in sophisticated monitoring platforms, deploy countless agents across their infrastructure, and build elaborate dashboards to track every metric imaginable. Yet amid this pursuit of comprehensive visibility, a dangerous blind spot often emerges: the observability system itself becomes unobservable. This meta-problem represents one of the most insidious risks in modern infrastructure management. When telemetry collection fails silently—​whether due to misconfiguration, infrastructure changes, or system failures—​operations teams continue making critical decisions based on incomplete or stale data, unaware that their digital nervous system has developed gaps in coverage.

The AI gold rush has arrived, and organizations worldwide are making unprecedented investments in cutting-edge accelerator hardware. GPU clusters worth millions of dollars are being deployed at breakneck speed, with companies betting their competitive futures on these silicon powerhouses. Yet beneath the excitement of acquiring the latest H100s or MI300s lies a sobering reality: the most expensive part of your AI investment isn’t the initial purchase—​it’s ensuring that hardware delivers value every single moment it’s operational.

We are happy to announce the latest release of NXLog Platform, version 1.9. This version transforms how you manage observability by combining metrics and logs in one platform, optimizing agent management workflows, and enabling enterprise-grade deployments for modern infrastructures. Want a quick overview? Watch a short demo showcasing the new features in this release: Read on for more details about these updates. Metrics made simple NXLog Platform provides built-in support for all types of telemetry data, including metrics.

When users start reporting slow responses or intermittent errors from your web applications, your first go-to is your web server logs. But did you know those same logs can provide more than just troubleshooting clues? When analyzed with the right tools, they give system administrators and DevOps teams real-time visibility into your web environment, enabling them to monitor web servers proactively, rather than reactively. In this post, we’re going to show you how you can uncover web server performance issues and potential attacks early on by collecting NGINX access logs with NXLog Agent, transforming them into Prometheus metrics, and visualizing them with Grafana.

What are performance metrics and why are they important? IT and security systems don’t just generate logs; they also produce extremely valuable performance data that helps ensure the health and stability of your business infrastructure. Host-level performance metrics provide visibility into key resources, such as: CPU usage — Helps identify over-utilization, process bottlenecks, or underused resources. Memory usage — Indicates whether applications are consuming excessive RAM or leaking memory over time.