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Learn how Li Auto transformed their big data infrastructure from traditional Hadoop clusters to a modern cloud-native architecture built on Kubernetes in this 26-minute conference talk. Discover the strategic decisions, technical challenges, and implementation approaches that guided this major platform evolution as Han Qian, Head of Big Data Infrastructure at Li Auto, shares real-world insights from migrating enterprise-scale big data workloads to cloud-native technologies. Explore the benefits and trade-offs of moving from Hadoop's distributed computing model to Kubernetes-orchestrated containerized applications, including improved resource utilization, enhanced scalability, and operational efficiency gains. Gain practical understanding of the architectural patterns, deployment strategies, and best practices that enabled Li Auto to successfully modernize their big data platform while maintaining business continuity and performance requirements.
