Practical AI with Machine Learning for Observability in Netdata

Explore a comprehensive 43-minute conference talk on implementing practical AI with machine learning for observability in Netdata. Delve into the traditional monitoring pipeline and its limitations before discovering the Netdata approach to distributed monitoring. Learn about the challenges and benefits of AI in observability, including how machine learning models work and are shared. Examine Netdata's implementation of anomaly detection, scoring engines, and the Anomaly Advisor feature. Gain insights into the accuracy and trustworthiness of AI-driven anomaly detection, and understand how it can enhance monitoring capabilities. Conclude with a look at the future of machine learning in Netdata and its potential impact on observability practices.