Advanced Anomaly Detection Techniques
Explore methods for automatically identifying unusual patterns in metrics and logs that indicate potential issues.
What is Anomaly Detection?
Welcome! In monitoring, we look for things that are out of the ordinary. These unexpected events are called anomalies.
Simple alerts are great, but sometimes we need smarter ways to spot issues that don't fit a fixed rule. That's where advanced anomaly detection comes in!
Limits of Basic Thresholds
You might already use basic alerts like 'CPU usage > 90%'. These are threshold-based.
While useful, they have limits:
- They don't adapt to normal changes (e.g., peak hours).
- They miss subtle deviations within 'normal' ranges.
- They can generate lots of false alarms.
All lessons in this course
- Implementing Synthetic Monitoring
- Advanced Anomaly Detection Techniques
- Automated Incident Creation from Alerts
- Reducing Alert Fatigue with Smart Alerting