After a monitor has run for some time, you might want to adjust its detection settings and train it with different periods of data. Sometimes you might need to adjust a new monitor several times to ensure it's assessing your data quality correctly. Or perhaps a shift in data patterns has caused a live monitor to begin detecting more incidents than it should. You can easily edit a monitor to adjust its behavior accordingly.
- In the metric chart, on the Monitors menu, select name-of-the-monitor → Edit. The monitor configuration details page opens.
- You can't edit a live monitor, so at the top right corner, select Live → Turn offline.
- You can rename the monitor on the Define tab, but most of the editable settings are on the Train tab.
- Make any changes in the Training and Detection settings sections.
- If desired, toggle Incident learning on (right) or off (left).
- You can pick several training periods to help the monitor understand normal data patterns.
- If your data asset has slices you can choose which slice to train and review output for.
- Select Save and train to begin training using the periods you specified.
Training might take a while. If it's taking too long, try using a shorter training period, or if your metric has slices try training with a different slice.
- After training completes, preview the revised monitor to make sure your changes had the desired effect. On the Preview tab, pick a date for Start and End, then select Generate preview.
- If you're not satisfied with the previewed changes, make adjustments on the Train tab, select Save and train, and then generate a new preview. Repeat until the monitor is behaving as desired.
- At the top right, select Offline → Turn online to make the monitor live again.
Updated 6 days ago