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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/)

  • Home - this documentation landing page
  • Project Instructions - instructions specific to this module
  • Your Files - how to copy the example and create your version
  • Glossary - project terms and concepts

Custom Project

Dataset

Time-series data recorded every 5 minutes with requests, errors, and total_latency_ms to track system performance.

Signals

Error rate, average latency per request, and rolling means to show trends and reduce noise.

Experiments

Applied rounding and tested rolling window calculations to improve clarity and trend detection.

Results

Higher request volume led to increased errors and latency; rolling averages made patterns easier to see.

Interpretation

System performance drops under heavy load, suggesting a need for scaling and better monitoring.

Additional Resources