🚀 Continuous Intelligence Portfolio¶

👤 Abdellah Boudlal¶

📅 2026-04

📌 Overview¶

This page summarizes my work on Continuous Intelligence (CI) projects. Throughout this course, I built a complete pipeline to monitor systems, detect anomalies, analyze trends, and identify drift.

🧠 1. Professional Project¶

🔗 Repository: 👉 https://github.com/Aboudlal/cintel-06-continuous-intelligence

⚙️ Tools & Technologies¶

• Python
• Polars
• Logging system
• GitHub

📝 Description¶

This project implements a full continuous intelligence pipeline that monitors system performance using metrics like requests, errors, and latency.

🚨 2. Anomaly Detection¶

🔗 Repository: 👉 https://github.com/Aboudlal/cintel-02-static-anomalies

🧪 Techniques¶

Anomalies are detected using predefined thresholds. For example, if error_rate or latency exceeds a limit → anomaly is triggered.

📂 Artifacts¶

👉 https://github.com/Aboudlal/cintel-02-static-anomalies/tree/main/artifacts

These files contain logs and anomaly reports.

💡 Insights¶

This helped identify when the system performance becomes unstable.

📊 3. Signal Design¶

🔗 Repository: 👉 https://github.com/Aboudlal/cintel-03-signal-design

🔍 Signals Created¶

• error_rate = errors / requests
• avg_latency_ms = total_latency_ms / requests

📂 Artifacts¶

👉 https://github.com/Aboudlal/cintel-03-signal-design/tree/main/artifacts

💡 Insights¶

Derived signals provide clearer insights than raw data.

📈 4. Rolling Monitoring¶

🔗 Repository: 👉 https://github.com/Aboudlal/cintel-04-rolling-monitoring

🔄 Techniques¶

Used rolling windows to compute: - Rolling mean - Rolling standard deviation

📂 Artifacts¶

👉 https://github.com/Aboudlal/cintel-04-rolling-monitoring/tree/main/artifacts

💡 Insights¶

Helped detect trends and reduce noise in the data.

🔁 5. Drift Detection¶

🔗 Repository: 👉 https://github.com/Aboudlal/cintel-05-drift-detection

📉 Techniques¶

Compared current data to a baseline. Drift is detected when values stay above/below baseline for multiple windows.

📂 Artifacts¶

👉 https://github.com/Aboudlal/cintel-05-drift-detection/tree/main/artifacts

💡 Insights¶

Identified long-term system changes and performance degradation.

🤖 6. Continuous Intelligence Pipeline¶

🔗 Repository: 👉 https://github.com/Aboudlal/cintel-06-continuous-intelligence

🔗 Techniques Combined¶

• Signal design
• Anomaly detection
• Rolling monitoring
• Drift detection

📂 Artifacts¶

👉 https://github.com/Aboudlal/cintel-06-continuous-intelligence/tree/main/artifacts

📊 Assessment¶

The pipeline gives a clear view of system health and helps detect issues early for better decision-making.

✅ Final Thoughts¶

This project helped me understand how to monitor systems in real-time and make data-driven decisions using continuous intelligence.