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Davis® for Notebooks runs a range of analyzers directly in Notebooks, providing on-spot results and enabling you to fine-tune your Anomaly Detection configurations.
With Davis Anomaly Detection combined with the power of DQL, you can custom-build powerful configurations to detect anomalies in metrics, logs, business data, or a combination of them. To preview and fine-tune your Anomaly Detection configuration before deploying it to action, use a Davis for Notebooks analysis option:
For each of these options, you can configure a missing data alert. Missing data and threshold conditions are combined by the OR logic.
To run an anomaly detection analysis in Notebooks
For a DQL query, use the interval: 1m
parameter to ensure proper data resolution for the analysis.
Davis analyses the data and shows potential alerts. Note that these are just indicative simulations—no real alerts are triggered based on this analysis.
Davis forecast analysis predicts future values of any time series of numeric values based on the accumulated data. To trigger a forecast analysis
Davis calculates the forecast and shows it, extending your visualization.