Capacity-Planning on Netdata

Automate Infrastructure Analysis With AI Reports

Tue, 23 Sep 2025 00:00:00 +0000

The least exciting part of an operations or SRE role is often the manual, repetitive task of generating reports. It’s the Monday morning scramble to summarize weekly infrastructure health for the team, or the end-of-quarter push to build a capacity planning document. This is boilerplate work that pulls you away from critical engineering tasks.

We believe that if a process is repeatable, it should be automated.

That’s why we’re introducing Scheduled AI Investigations and Insights. This new capability builds directly on our existing AI tools, allowing you to set your most important analyses on a recurring schedule. It’s like setting up a cron job for your infrastructure reporting, letting your Co-SRE do the heavy lifting for you.

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.