Engineers spend hours manually piecing together incident timelines and capacity reports. While critical to maintaining infrastructure health, these workflows are tedious, fragmented, and highly susceptible to human oversight.
This is where Netdata, an open-source observability company, looks to make a difference.
The company has introduced its latest innovation — Netdata Insights, an AI-powered reporting engine designed to convert complex telemetry data into structured, actionable intelligence.
Turning raw observability into decisions
Modern infrastructure produces immense volumes of time-series data. Yet during outages or audits, engineers are forced to jump between dashboards, export charts, and manually reconstruct the story behind each incident.
With Netdata Insights, teams no longer need to switch tools, cross-reference systems, or manually compile reports.
Instead, the platform compresses telemetry data into structured context bundles, processes them using advanced large language models (LLMs), and delivers clear, human-readable summaries complete with relevant graphs and actionable recommendations.
Not just AI — intelligent, contextual reporting
Unlike generic LLM-powered assistants, Netdata Insights is deeply integrated into the observability stack. It understands the granularity and structure of time-series data, enabling it to produce rich, context-aware analysis.
Each report is generated through an automated, multistep process:
Relevant data is filtered and compressedAI models interpret system behaviourOutputs are rendered as readable, visual reports
This significantly reduces the time spent investigating incidents or planning capacity upgrades — and ensures consistency in how incidents are analysed and communicated.
Immediate availability in research preview
Netdata Insights is now available as a research preview. Users on Netdata’s free trial and business plans can generate up to 10 reports at no additional cost. Try the feature in-app here.
Built on a real-time edge-processing foundation
Netdata is an observability platform for infrastructure monitoring, covering systems, containers, applications, IoT devices, and networks. It provides insights without requiring configuration.
The platform uses a distributed, edge-processing architecture to analyse metrics and logs at their source, reducing reliance on centralised storage. Its open-source Agent functions as an observability engine, supporting flexible data pipelines with minimal setup.
Netdata features anomaly detection, alerting, and AI-assisted troubleshooting. It trains machine learning models at the edge to deliver automated insights into infrastructure behaviour. Through its APIs and user interfaces, engineers can perform root cause analysis and correlate data across systems.
