Bucket longtask durations into performance ranges
Problem / Use case
You want to monitor Real User Monitoring (RUM) longtask durations and categorize them into performance buckets (e.g., fast, moderate, slow) to track client-side performance issues by severity.
Query
source logs
| filter cx_rum.longtask_context.duration > 0
| groupby case_lessthan {
cx_rum.longtask_context.duration:num,
100 -> 'Green (0-100)',
200 -> 'Orange (101-200)',
300 -> 'Red (201-300)',
_ -> 'Purple (301 - *)'
} as Range
agg count() as count
Expected output
| Range | count |
|---|---|
| Green (0-100) | 143973 |
| Red (201-300) | 14961 |
| Orange (101-200) | 36519 |
| Purple (301 - *) | 6230 |
Variations
- Adjust bucket thresholds based on your UX performance criteria.
- Swap
count()fordistinct_count(session_id)to measure impact per user session.
TL;DR
Use case_lessthan to bucket longtask durations into performance ranges for easier trend analysis and alerting. Think of it as your RUM-grade Energon scanner.
Theme
Light