Abstract: The increasing computational demands of AI are forcing a paradigm shift in how we design and operate data centers. This talk introduces the critical tools needed to navigate the complexities of planet-scale computing. We'll explore how traces, metrics, and profiles provide a comprehensive view of distributed system performance. This talk will cover how these instrumentation tools empower us to identify bottlenecks, optimize resource allocation, and ultimately achieve significant gains in data center efficiency, ensuring that our infrastructure thrives in the face of the AI revolution.

Short Bio: Isabella Hu is a Software Engineer at Google and earned a Master’s degree from Carnegie Mellon University. Her work focuses on optimizing computing performance and AI-driven decision making within this domain.

Brian Qiu is a Software Engineer at Google with 3 years of experience in system performance and distributed systems. His work focuses on scaling infrastructure to handle fleetwide tracing data.