Shanghai, China
June 24–26, 2019
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Tuesday, June 25 • 11:00 - 11:35
Right-Sizing and Auto-Scaling of MySQL Containers in Kubernetes - Yuan Chen & Min Li, JD.com

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JD.com runs large scale MySQL databases with Vitess on its Kubernetes platform in support of its internet scale e-commerce services. Right sizing and scaling of container resources is critical but difficult due to high uncertainty and variations in workloads.

This talk will present how JD develops optimized sizing and scaling techniques for improving performance and resource efficiency of MySQL clusters in Kubernetes. It will describe a system that combines statistical analysis, forecast and optimization algorithms to dynamically adjust containers' resource request&limit values and reschedule containers through Kubernetes and Vitess APIs to minimize resource usage while meeting QoS requirement. This system enables JD to manage its MySQL cluster resources much more flexibly and efficiently, and helps JD dramatically reduce operation and hardware costs of running MySQL in Kubernetes.

avatar for Yuan Chen

Yuan Chen

Principal Architect, JD.com
Yuan Chen is a Principal Architect at JD Silicon Valley R&D Center. He has 15+ years of research and industrial experience in the areas of large scale distributed systems, cloud computing and cluster management. His current work focuses on efficient resource management for cloud native... Read More →

Min Li

Staff Software Engineer, JD.com
Min Li is a staff software engineer at JD.com. Her main area is to apply big data analytics, machine learning and AI algorithms to optimize and automate resource management and operations in large scale distributed systems, especially in Kubernetes clusters. Before joining JD, she... Read More →

Tuesday June 25, 2019 11:00 - 11:35 CST