Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the challenges and solutions in performance tuning of microservices in data centers through this conference talk. Dive into the complexities of optimizing multiple microservices with varying workloads and numerous configuration options. Learn how Bayesian optimization-based machine learning can be applied to tackle this combinatorially intractable problem. Discover the pitfalls and lessons learned from implementing a continuous optimization service for microservices. Gain insights into maintaining optimal performance despite ongoing upgrades to service, platform software, and hardware. Understand the potential for improving resource utilization and unlocking hidden performance gains in data centers. Follow along as the speaker, a Staff Engineer in Platform Engineering at Twitter, shares experiences and outlines a vision for a continuous optimization service in microservice-based architectures.