This video demonstrates how to use Amazon CloudWatch's log pattern analysis and anomaly detection features to identify unusual patterns in application logs. It showcases how machine learning can automatically surface anomalies, detect changes over time, and discover unknown error conditions in large volumes of log data. The presenter walks through using CloudWatch Log Insights to investigate issues, leveraging pattern analysis to quickly parse thousands of log events, and setting up anomaly detection to proactively monitor for unexpected behaviors. Key capabilities highlighted include comparing log patterns across time periods, inspecting anomalies, and integrating with CloudWatch alarms for critical applications. These powerful tools enable faster troubleshooting and improved operational visibility across AWS environments.