Anomaly-Analysis on Netdata

Save Hours on Troubleshooting with Automated Investigations

Mon, 04 Aug 2025 00:00:00 +0000

How many times has your team stared at a dashboard, pointed to a spike, and asked a question that charts alone can’t answer? “What was the real impact of that deployment?” “Why are our Kubernetes pods in the us-east-1 cluster suddenly crashing?” “Are we wasting money on overprovisioned servers?”

Answering these questions is the real work of operations and SRE. It often kicks off a time-consuming scramble, sending engineers down rabbit holes for hours, days, or even weeks. You dig through logs, correlate metrics across services, and piece together clues from Slack conversations and Jira tickets.

Netdata Now Troubleshoots Your Alerts for You

Sun, 03 Aug 2025 00:00:00 +0000

The 2 AM pager alert. For anyone in Ops, SRE, or IT administration, those words trigger a familiar sense of dread. An alert has fired. Is it a real fire, or another false alarm waking you from a dead sleep? The pressure is on. Every minute of downtime costs money and reputation, but troubleshooting a complex system when you’re sleep-deprived is a Herculean task.

This cycle is a massive drain on engineering resources. The daily grind of sifting through alerts, trying to distinguish signal from noise, and manually correlating metrics to find a root cause consumes countless hours. This constant firefighting leads to alert fatigue, where even critical notifications start to get ignored. The core questions are always the same: Is this a real problem? What is the potential impact? Why did this trigger? What do I do next? Answering them is a slow, manual, and often stressful process.

Netdata Implements MCP Protocol

Wed, 18 Jun 2025 00:00:00 +0000

Update (February 2026): Netdata now also provides MCP via Netdata Cloud at app.netdata.cloud/api/v1/mcp for infrastructure-wide access (Business/Homelab plan). See MCP documentation for details.

We are excited to announce that Netdata has officially implemented the Model Context Protocol (MCP), joining the forefront of AI-powered infrastructure monitoring.

By enabling direct connections between AI assistants and your data sources and tools, the Model Context Protocol is a new open standard that builds a crucial link between artificial intelligence and practical systems. Instead of the AI providing generic suggestions that don’t understand your environment, MCP enables it to communicate and then interact with your infrastructure data in real time. Being among the first monitoring platforms to adopt this groundbreaking protocol, Netdata is at the forefront of intelligent observability. With the help of this integration, traditional monitoring becomes a dialogue that your entire technical team is able to participate in. We encourage you to dive deeper into the technical foundations of MCP, explore Anthropic’s comprehensive explanation, and discover how this protocol is reshaping the future of AI-data interaction.

Introducing Netdata Insights

Tue, 27 May 2025 00:00:00 +0000

We’ve been thinking a lot about synthesis lately.

Netdata already samples every metric every second at the edge. Engineers told us the remaining pain point was synthesis, the ability to pull hours or days or months of high‑resolution time‑series into a concise explanation they could hand to a teammate (or use themselves to debug faster).

You know the pattern. An incident happens, and suddenly you’re context-switching between dozens of dashboards, trying to reconstruct a timeline. Or you need to write a capacity planning report, and you’re copy-pasting screenshots into slides, manually correlating trends across different retention windows. The raw data is there, but the synthesis step (the part where you turn metrics into narrative) doesn’t scale.