Below is the list of blog posts with the “Grafana” tag.

Agentic AI is now embedded across the enterprise: summarizing customer records, pulling from data warehouses, drafting on top of internal documents, calling production APIs on behalf of staff. The pitch is compelling. The reality is that you have deployed a non-deterministic process with read access to PII, trade secrets, and the business intelligence your competitors would pay for. It is a black box that reasons differently on each run, and a single misrouted tool call can move sensitive data into a context where it does not belong.

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.