Uber, a global leader in transportation technology, has significantly enhanced its platform's efficiency and performance by adopting Grafana Cloud Profiles for automated, proactive profiling. Operating at a massive scale with over 5,000 microservices and 500,000+ weekly deployments, Uber faced challenges with performance bottlenecks and high infrastructure costs. Transitioning from reactive, manual profiling to continuous profiling with Pyroscope has enabled always-on, low-overhead monitoring and historical data analysis. This shift has not only democratized expert-level performance optimization across Uber's engineering teams but also resulted in substantial cost savings, such as identifying a 30% allocation overhead in a backend service that led to a 10,000-core reduction. Additionally, AI-powered profiling has streamlined incident resolution, allowing engineers to diagnose issues like memory leaks in just 30 minutes, which previously took days. With no visible overhead during its initial implementation, Uber plans to extend continuous profiling to all services by the end of 2025.