Managing KPIs in AIDA

With AIDA you can fine-tune KPIs prediction and analyze the KPIs trend over time.

From AIDA left-hand sidebar, select KPIs to open the KPIs page.

This page shows you the KPIs managed by AIDA.



From this page, depending on your permissions, you can run the following tasks:
  • Tune KPIs prediction parameters, the sensibility for anomaly detection.
    Note: Every 24 hours AIDA runs an automatic retrain of all KPIs. The prediction area is not visible while retraining is in progress.
  • Access the KPIs Data Analysis page where you can:
    • Obtain an interval estimation of the KPIs trend.
    • Analyze the KPIs trend over time.
    • Identify and analyze anomalies in the KPIs trend.
  • Delete the KPI.

The table displays the following information:
KPI Name
The name of the KPI.
Engine
The engine where KPI runs.
Monitored Object
The name of the object measured by the KPI.
Last 24h alert instances
The number of alert instances opened in the last 24 hours, allowing to identify any problematic KPIs.
Select one or more KPIs to run the following actions:
Tuning
You can tune a KPI prediction parameter, the anomaly detection sensitivity in the KPIs prediction tuning popover. This action allows you to increase or decrease sensibility, with higher sensibility identifying more anomalies.
You can also modify all KPIs using the Global tuning button, which overrides individual KPI settings. These changes will be applied after the next retraining.
Open
To open the KPI Data Analysis page where you can:
  • Obtain an interval estimation of the KPI trend.
  • Analyze the KPI trend over time.
  • Identify anomalies in the KPI trend.

For details, see: Analyzing KPIs data.