Root-Cause-Analysis on Netdata

Expanded Chart View: Investigate Without Leaving the Chart

Wed, 08 Apr 2026 00:00:00 +0000

Charts in Netdata have always been interactive. You can zoom, pan, select time ranges, and see per-second granularity across thousands of metrics. But when you spotted something interesting, the next steps usually meant leaving the chart: opening another tab to check a related metric, navigating to the correlation tool, or pulling up a different time range for comparison. The investigation workflow lived outside the chart, even though the chart was where the investigation started.

AIOps Platform: Edge-Native ML, Zero Configuration

Thu, 18 Dec 2025 00:00:00 +0000

Enterprise AIOps intelligence without enterprise complexity. Edge-native ML, automated insights, and transparent pricing deliver operational excellence from day one.

Anomaly Advisor: Root Cause In Seconds, Not Hours

Thu, 18 Dec 2025 00:00:00 +0000

Netdata Anomaly Advisor uses edge-native machine learning with 18-model consensus to eliminate 99% of false positives while surfacing root causes in the top 30-50 metrics from thousands collected. Get sub-2-second correlation analysis at any scale without configuration, training delays, or specialist expertise.

Netdata vs UptimeRobot | Monitoring Tools Comparison

Thu, 18 Dec 2025 00:00:00 +0000

Netdata and UptimeRobot serve different purposes: UptimeRobot monitors external availability while Netdata provides deep infrastructure diagnostics. Learn when to use each tool and how Netdata’s component-level alerts and ML-based anomaly detection provide deeper visibility.

Root Cause Analysis (RCA) With 80% MTTR Reduction

Thu, 18 Dec 2025 00:00:00 +0000

Netdata’s edge-native ML detects anomalies as they happen, automated correlation surfaces root causes in the top 30-50 results, and AI explains incidents in plain English - achieving 80% MTTR reduction at 90% lower cost.

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.