KubeCon + CloudNativeCon North America 2024

Picture this! You are running an application on a Kubernetes cluster & you notice that your nodes have been restarting and your users are noticing that your application is unreachable. As an engineer, you want to identify these failures in real-time & differentiate these from known states, at scale. But we know, static thresholds fail for dynamic metrics! This session explores real-time anomaly detection for cloud-native systems. We'll show you how to reduce MTTR and mean time to analyse by proactively identifying abnormal application behavior using statistical & machine learning algorithms on time series data from Prometheus. Learn to pinpoint issues, identify missing instrumentation, and visualize anomalies using Grafana. This session equips you to achieve faster issue resolution and maintain optimal application health. We'll demo practical techniques for metrics selection, anomaly detection and proactive issue identification to manage your cloud-native applications.