Tame MTTR with Real-Time Anomaly Detection in Kubernetes Applications

Explore real-time anomaly detection techniques for cloud-native systems in this 36-minute conference talk from KubeCon + CloudNativeCon. Learn how to reduce Mean Time To Resolution (MTTR) and analysis time by implementing statistical and machine learning algorithms on Prometheus time series data to identify abnormal application behavior in Kubernetes clusters. Discover practical approaches for selecting metrics, detecting anomalies, and visualizing issues through Grafana to maintain optimal application health. Master proactive issue identification techniques that go beyond static thresholds, enabling faster problem resolution when dealing with dynamic metrics at scale. Through demonstrations, understand how to effectively monitor node restarts, application availability, and differentiate between normal and abnormal states in your cloud-native applications.