Evolution: From Distributed Cache to Feature Store with Yao Yue
Feature Store has become an interesting topic and a newly minted cornerstone of modern machine learning infrastructure. Distributed caching, though still relatively young at about two decades old, feels like a mature establishment. This talk will show you the unmistakable ties between the two by revisiting the waves of development that led us from one to the other, all the while expanding this little “niche” called in-memory data store. What properties of the systems have remained consistently important, and what requirements have changed? What shall we expect moving forward with bigger models, more features, and more data? This little journey down history lane and beyond will give you a clue.
- - About Yao Yue
Yao Yue is the creator and a maintainer of Pelikan, a unified cache framework for building servers, proxies, and clients used in distributed caches. This project was the culmination of her knowledge about caching, which she obtained when working on and later leading the Cache team at Twitter for the better part of 2010s. Besides Pelikan, Yao has coauthored several academic papers on caching published in OSDI, NSDI, and FAST, as well as many talks. In recent years, she has ventured into the world of (distributed) systems performance and optimization. She co-founded IOP Systems, a company aimed to improve software efficiency and reduce cost, with her teammates from Twitter.
- - About MoCon
MoCon is a yearly conference for thought leaders across the tech industry to share their insights and best practices. In August of 2023, MoCon dove into where serverless meets AI/ML. There was extensive coverage on databases, event messaging, generative AI, machine learning, and feature stores.
- - Resources
MoCon website: https://www.gomomento.com/mocon/overview
Momento website: https://www.gomomento.com/
- - Connect
Follow Yao Yue on LinkedIn: / yaoyue-thinkingfish
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