How do I handle seasonal/variable business patterns without false positives?
Use Statistics to establish baseline, set adaptive thresholds. E-commerce example: January average 847 orders/hour, Q4 (Oct-Dec) average 2,134 orders/hour, Black Friday peak 3,840 orders/hour. Solution: Create 3 separate Non-Events resources with different thresholds + scheduling:
- "Orders - Normal Season" (Jan-Sep): Min 600/hour, Max 1,200/hour, active Mon-Fri 8 AM-10 PM
- "Orders - Q4 Peak" (Oct 1 - Dec 24): Min 1,500/hour, Max 4,500/hour, active 7 days/week
- "Orders - Black Friday" (Nov 29-30): Min 3,000/hour, Max 6,000/hour, 24/7 monitoring
Interval Scheduling enables date-based activation: Q4 resource activates Oct 1, deactivates Dec 25. Statistics from previous year inform thresholds: "Black Friday 2023 peak was 3,840/hour, set Min 3,000 (78% of peak allows variance), Max 6,000 (156% buffer for growth)".
Exclude dates: Define custom holiday list (Thanksgiving, Christmas, New Year's) where monitoring suspended or thresholds lowered. Manufacturing: Mon-Fri production Min 200 units/hour, Sat-Sun Min 0 (no production, exclude from Non-Events evaluation).
Next Step
Need more help? Check the Troubleshooting Overview for all FAQs, or refer to the Configuration Guide to fine-tune your Non-Events monitoring setup.