Wu Yunlong is a Research and Development Engineer with eight years of hands-on experience building and hardening distributed key-value storage systems, specializing in Redis forks and cloud-native storage architectures. Based in Shanghai, he has driven performance optimizations, high-availability features, and memory-leak fixes for projects used at scale—contributing bug fixes and core changes to high-profile repos like redis/redis and KeyDB. At Meituan he helped evolve a Redis-based storage fork and later designed storage-compute separated systems, distributed blob stores, and automation tooling for cloud integration. His background in C++ and networked systems dates back to game and ad-retrieval engines, giving him a practical focus on low-latency, robust systems engineering. Notably, his open-source work includes fixes to RDB/AOF behaviors, replication and dict-resize policies that improve real-world stability under heavy load.
9 years of coding experience
1 year of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Donghua University
Bachelor's degree, network engineering, Bachelor's degree, network engineering at Nanjing University of Information Science and Technology
For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.
Role in this project:
Back-end Developer
Contributions:21 reviews, 91 commits, 71 PRs in 5 years
Contributions summary:Wu primarily contributed to bug fixes and improvements within the Redis codebase. Their work involved addressing issues related to configuration settings, such as auto-aof-rewrite and slowlog parameters, as well as fixing replication-related problems. They also made changes to core functionalities, including rdb save, DEBUG LOADAOF, and cluster operations, ensuring data consistency and stability. In addition, the user addressed memory leaks and updated the dict resize policy to optimize performance.
Contributions summary:Wu primarily focused on fixing and improving the configuration and functionality of the KeyDB project. Their contributions include modifications to the configuration settings, specifically related to AOF rewrite behavior. Additionally, they fixed notes in the code and made significant changes to the rdb save function, and debug loadaof. Furthermore, the user updated dict resize policy for improved performance.
redis
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