Continuous Intelligence¶

This site provides documentation for this project. Use the navigation to explore module-specific materials.

How-To Guide¶

Many instructions are common to all our projects.

See ⭐ Workflow: Apply Example to get these projects running on your machine.

Project Documentation Pages (docs/)¶

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• Project Instructions - instructions specific to this module
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• Glossary - project terms and concepts

Additional Resources¶

- Suggested Datasets¶

Custom Project¶

Dataset¶

Metrics recorded over time, containing raw counts of requests handled, errors encountered, and total response time in milliseconds.

Signals¶

• error_rate: ratio of failed requests to total requests.
• avg_latency_ms: average response time per request.
• throughput: number of requests handled per observation.
• latency_spike: boolean flag that marks observations where average latency exceeded 30ms.

Experiments¶

Added a latency spike detection signal with a threshold of 30ms. The threshold is stored as a named constant for easy adjustment.

Results¶

Each observation is now labeled with a True/False spike flag, making it straightforward to filter and isolate high-latency periods without manually scanning numeric columns.

Interpretation¶

The pipeline can now distinguish normal operation from degraded performance automatically.