Beyond Logs - Real-Time Anomaly Detection with Machine Learning

Learn how to leverage machine learning for real-time anomaly detection by treating logs and traces as part of a scalable cloud storage repository. This approach allows for the application of machine learning models to detect issues and improve performance, going beyond simple threshold-based alerts. The course provides practical tips and insights on implementing this approach, making it ideal for developers and data professionals looking to enhance their monitoring and issue detection capabilities.