Mercedes-Benz is developing an AI-driven observability system using open source technologies to help solve infrastructure pain points. The system collects millions of metrics, logs, and traces per minute from databases, middleware, and other systems. It uses anomaly detection and predictive modeling with techniques like XGBoost and LSTMs to analyze patterns in the data and forecast infrastructure needs. This helps determine if systems are performing normally, identify anomalies, optimize resource usage, and handle real-time performance issues. The goal is to build an AI-driven prediction ecosystem that can help operations teams manage infrastructure challenges more effectively.