Explore techniques for optimizing MySQL container resources in Kubernetes environments through this conference talk. Learn how JD.com developed a system combining statistical analysis, forecasting, and optimization algorithms to dynamically adjust container resource allocations and reschedule containers via Kubernetes and Vitess APIs. Discover methods for workload characterization, right-sizing CPU resources, and implementing auto-scaling strategies. Examine multi-resource balance approaches for host selection and correlation-aware techniques. Gain insights into experimental evaluation setups and key results that demonstrate significant improvements in resource efficiency and cost reduction for large-scale MySQL deployments supporting e-commerce services.