Use data sources to detect changes that could be anomalies through habit learning!
Progression
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First step to the module Anomaly detection, the Data source learning feature allows you to:
- Know all data sources
- Identify event flow cycles
- Identify flow anomalies
- Notify / alert the user of an anomaly
Examples:
- Source 1 publishes 10 times more events than usual: this is a burst of activity
- Source 2 no longer publishes events: the state of my application is no longer 100% reliable
- Source 2 no longer publishes events: I apply the associated instruction
For more information on data and alarms in Canopsis, visit the documentation.
Audience
- Supervision pilots
- Administrators
- Application managers
Added value
- Relevance
- Decision support
- Continuous improvement
- Valuation
