docs/dashboards-and-charts/anomaly-advisor-tab.md
The Anomaly Advisor tab helps you identify potentially anomalous metrics and charts by focusing on a highlighted timeframe of interest. This feature uses Netdata's Anomaly Rate ML scoring to rank metrics based on unusual behavior.
Each chart in the Metrics tab also features an Anomaly Rate ribbon for anomaly visibility.
For configuration details, see the ML documentation.
The Anomaly Advisor leverages Netdata’s machine learning to evaluate anomaly rates across your nodes. It provides three key visualizations:
| Chart Name | Purpose | Why It Matters |
|---|---|---|
| Anomaly Rate | Shows the percentage of anomalous metrics over time per node. | Helps you quickly spot nodes behaving abnormally. |
| Count of Anomalous Metrics | Displays raw counts of anomalous metrics per node. | Useful when nodes have different numbers of collected metrics. |
| Anomaly Events Detected | Indicates when the anomaly rate has triggered a node-level event. | Focuses your attention on meaningful spikes, not just noise. |
:::note
Anomaly Events Detected appear slightly after anomaly rates rise, as they require a significant portion of metrics on the node to show anomalous behavior.
:::
:::tip
Use the node filter to focus on specific nodes before highlighting a timeframe.
:::
| Tip | Why It Matters |
|---|---|
| Filter to specific nodes before highlighting. | Reduces noise by limiting averaging across unrelated nodes. |
| Highlight close to the anomaly spike. | Improves ranking accuracy by focusing on the relevant timeframe. |
flowchart TD
A("Highlight Timeframe") --> B("Rank Metrics by Score")
B --> C("Show Ordered Charts")
C --> D("Pick from Anomaly Index")
D --> E("Investigate Metrics")
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%% Apply styles
class A alert
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class D,E complete
:::tip
This diagram shows the Anomaly Advisor flow: highlight, rank, and explore. Use the ranking to prioritize which charts to investigate.
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