Large-Scale Storage Systems: Best Practices and Architecture
The article reviews best‑practice designs for massive O2O e‑commerce storage, summarizing a Jan 30 technical salon where Meituan’s Cheng Zhenqiang detailed KV storage optimization, Alibaba Cloud’s Zhang Zirong explained high‑performance server architecture tuning, and Meituan Cloud’s Li Kai presented a unified distributed storage system with cross‑data‑center availability, erasure coding, and metadata management.
This article discusses large-scale storage systems for O2O e-commerce platforms handling billions of users and various data types including text, images, videos, and voice. It addresses how to ensure system reliability, availability, scalability, and high performance.
The content covers a technical salon event held on January 30th, featuring three expert presentations on storage systems. The first presentation by Cheng Zhenqiang from Meituan focused on large-scale KV storage best practices, covering performance optimization, tools, testing, operations, and monitoring for handling billions of requests.
The second presentation by Zhang Zirong from Alibaba Cloud discussed high-performance server architecture design and optimization. He outlined a development process from device understanding through design, troubleshooting, and tuning, emphasizing CPU, memory, disk, and network card resource utilization.
The third presentation by Li Kai from Meituan Cloud Computing introduced Meituan's next-generation unified distributed storage system architecture, covering high-performance storage nodes, concurrent network frameworks, cross-data center deployment, high availability models, metadata management, erasure coding, and fragmentation handling.
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Meituan Technology Team
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