BigPanda normalizes alert data from integrated monitoring systems into standard key-value pairs, called tags. BigPanda leverages both enrichment alert level tags, and incident tags, which are added at different points.
Each tag has two parts: the tag name and the tag value. Tags are the fundamental data model for your alerts and incidents and provide vital incident enrichment. The values of these tags are used to correlate highly related alerts into incidents and allow BigPanda’s Open Box Machine Learning engines to find connections between alerts and changes through your system.
Tags enable your team to:
- Correlate alerts into incidents
- Filter alerts
- Create maintenance plans
- Search the incident feed
- Define filter conditions for Environments
- Search with BigPanda Query Language (BPQL)
- View incident information in the UI
- Collect analytics.
Incident tags are key-value pairs that can be added to incidents for additional incident enrichment, giving your teams insight into priority and business impacts of incidents. To learn more about how incident tags work, please see the Incident Tags documentation.
Updated 9 months ago