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Optimized for: Gemini / ChatGPT / Claude
#Observability

Prometheus Multi-Dimensional Anomaly Detection

Customize the variables below to instantly engineer your prompt.

Required Variables

prometheus-anomaly-detection.txt
Act as an SRE Data Scientist. Construct a highly complex PromQL query for Prometheus that acts as a mathematical anomaly detection engine. The query must evaluate the [METRIC_NAME] (e.g., API latency) against its own historical baseline over a [LOOKBACK_WINDOW] (e.g., 2 weeks). Trigger an alert strictly when the current value violently spikes [STANDARD_DEVIATIONS] deviations above the moving average. Provide the exact Grafana JSON panel configuration to visualize this confidence band shading.

Example Text Output

"An advanced PromQL rule utilizing avg_over_time and stddev_over_time to dynamically track metrics, drastically reducing false-positive pager alerts."

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Frequently Asked Questions

What is the "Prometheus Multi-Dimensional Anomaly Detection" prompt used for?

An advanced PromQL rule utilizing avg_over_time and stddev_over_time to dynamically track metrics, drastically reducing false-positive pager alerts.

Which AI tools work with this prompt?

This prompt is optimized for Gemini / ChatGPT / Claude, but works great with ChatGPT, Claude, Gemini, and other large language models. Simply copy it and paste it into your preferred AI tool.

How do I customize this prompt?

Use the variable fields above to fill in your specific details. The prompt will auto-update as you type, ready to copy instantly.

Is this prompt free?

Yes! All prompts on Blenra are free to copy and use immediately. No account required.