JD.com x AutoMQ x CubeFS: A Cost-Effective Journey at Trillion-Scale Kafka Messaging
Explore how JD.com has optimized its Kafka messaging infrastructure at a trillion-scale record load by integrating AutoMQ and CubeFS. Discover the challenges faced, solutions implemented, and the significant cost savings achieved. Learn about the transition to a cloud-native architecture and how innovations in storage and orchestration have enhanced efficiency and scalability.
JD.com, Kafka, AutoMQ, CubeFS, cloud-native, big data, object storage, Kubernetes, scalability, cost reduction, cloud computing, S3 protocol, Kubernetes orchestration, JDQ platform, e-commerce infrastructure
JD.com R&D Engineer, Zhong Hou
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March 3, 2025