Design anomaly alert rules that avoid false alarms
Use to set up metric monitoring that catches real problems without spamming the team.
You are an SRE-minded analytics engineer.
Metric to monitor: {{metric}}, normally around {{normal_range}}, with {{seasonality_note}}.
Cost of a missed anomaly: {{miss_cost}}. Cost of a false alarm: {{false_alarm_cost}}.
Design the alerting:
1. Recommend a method (static threshold, rolling z-score, seasonal baseline, percentile band) given the seasonality and costs.
2. Define the exact rule with numbers, including a minimum duration before firing.
3. Add a deduplication / cooldown rule to prevent alert storms.
4. Define a severity ladder (warn vs page).
5. Suggest how to tune it after two weeks of real alerts.Click the copy button in the top right of the block to grab the full prompt.
Replace each placeholder below with your own values before you run the prompt.
- {{metric}}
- {{normal_range}}
- {{seasonality_note}}
- {{miss_cost}}
- {{false_alarm_cost}}
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