Files
pulse/internal
rcourtman f7bb6d5446 feat(ai): implement metric-specific anomaly thresholds
Smarter anomaly detection to reduce false positives:

**Learning Window:** 7 days → 14 days
- Captures weekly patterns (weekday vs weekend)

**Metric-Specific Thresholds:**

CPU:
- Only report if usage >70% AND >2x baseline
- Low CPU variance (5% vs 10%) is not actionable

Memory:
- Report if >80% OR (>1.5x baseline AND >60%)
- Memory is more stable, lower threshold makes sense

Disk:
- Report if >85% usage OR +15 percentage points growth
- Disk problems are critical, use absolute thresholds

Other metrics:
- Use 2x threshold as default

This dramatically reduces 'noise' anomalies while catching
actual problems that need operator attention.
2025-12-21 17:31:30 +00:00
..
2025-12-17 12:00:59 +00:00
2025-12-17 12:00:59 +00:00