Yao 岳峣 is a CEO and former Principal Software Engineer with 15 years of experience designing and optimizing large-scale distributed systems, caching layers, and infrastructure analytics from San Francisco. He founded IOP Systems to commercialize SystemsLab, an automated performance-assessment platform that turns repeated tests and telemetry into actionable insights for operators and decision-makers. At Twitter he led a small research-and-development team practicing software-hardware co-design, tracing and profiling in production, and authored Pelikan, a high-performance modular caching framework used for large deployments. His open-source work on Twitter’s twemcache and pelikan projects demonstrates deep expertise in memory management, slab LRU eviction, and efficient memcached command processing. Trained in physics and math at Tsinghua and a PhD student in computer science at Cornell, he blends rigorous analytical thinking with pragmatic engineering and uncommon hands-on involvement in both code and product.
15 years of coding experience
13 years of employment as a software developer
PhD student Computer Science, PhD student Computer Science at Cornell University
BS Fundamental Sciences (Physics & Mathematics), BS Fundamental Sciences (Physics & Mathematics) at Tsinghua University
Contributions:25 commits, 2 PRs, 5 pushes in 5 years 3 months
Contributions summary:Yao's primary contribution revolves around implementing and refining features related to slab allocation and management within the Twemcache codebase. They introduced and tested a slab Least Recently Used (LRU) eviction algorithm, optimizing memory utilization. Further work involved code cleanups, unit testing, and integration of merged changes from other branches, highlighting a focus on performance, reliability, and code quality. These changes are critical for effective caching behavior.
Contributions:5 releases, 240 reviews, 462 commits in 8 years 7 months
Contributions summary:Yao's commits indicate a focus on implementing core backend features and data storage within the Twitter's Pelikan unified cache backend. The user introduced new code and logic related to processing memcached commands (GET, GETS, and DELETE), particularly focusing on the implementation of a sorted array data structure (sarray) as the base for the cache. Furthermore, the user integrated functionalities such as metric collection for analyzing cache performance.
cache-backendcachingbackendcachetwitter
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Yao 岳峣 - Chief Executive Officer at Pelikan Foundation