-
Notifications
You must be signed in to change notification settings - Fork 25
Description
Problem Statement
In the Full Dashboard, time-series line charts currently don’t show the underlying value when hovering over a point on the graph. This makes it hard to identify the exact value at a specific time (especially when troubleshooting spikes, regressions, or comparing before/after changes).
Proposed Solution
Add hover tooltips (or an equivalent interaction) to line charts in the Full Dashboard so that moving the mouse over the graph shows:
- The timestamp for the nearest data point
- The metric value at that point (and ideally the series name, if multiple series exist)
If hover tooltips aren’t feasible in the current charting approach, an alternative would be a crosshair + pinned value readout (e.g., a small panel under/next to the chart that updates as you move the mouse).
Use Case
Example: While investigating a CPU spike shown in a dashboard chart around 09:00, I want to hover over the peak and immediately see that the value was (for example) 87% at 09:02 rather than estimating based on axis labels. This would make it easier to correlate the value with other events (deployments, job runs, failovers, etc.) and to communicate exact findings to others.
Alternatives Considered
- Estimating values by reading the Y-axis and time labels (imprecise)
- Exporting/queried raw data to find the exact value/time (works, but is slower and breaks the dashboard workflow)
- Increasing label density on axes (can clutter charts and still won’t give exact values for every point)
Additional Context
-
Is this related to a specific SQL Server version?
Not specifically; this is a dashboard UX improvement. -
Would this require schema changes?
No; it should be purely a visualization/UI enhancement (data already exists). -
How frequently would you use this feature?
Very frequently—any time I use the dashboard to investigate trends, spikes, or compare periods.
Scope
Please indicate which component(s) this affects:
- Full Dashboard
- Lite
- SQL collection scripts
- Installer
- Documentation