Day 49: Implementing Anomaly Detection Algorithms for Distributed Log Processing

Module 2: Scalable Log Processing | Week 7: Distributed Log Analytics254-Day Hands-On System Design Series

Today's Agenda: What We're Building

🎯 Core System Components

• Multi-algorithm anomaly detection engine (Z-score, Isolation Forest, Temporal Analysis)

• Real-time log stream processing with ensemble decision making

• Interactive dashboard with Google Cloud Skills Boost styling

• Production-grade performance monitoring and alerting

🚀 Technical Achievements

• Process 1000+ logs/second with sub-100ms detection latency

• Achieve 99.7% detection accuracy with <5% false positive rate

• Implement adaptive thresholding and contextual anomaly detection

• Build enterprise-scale patterns used by Netflix, Uber, and Google

---

The Silent Threat: When Normal Becomes Dangerous

GitHub Link:

https://github.com/sysdr/course-p/tree/main/day49/day49-anomaly-detection