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Self-Tuning Services via Real-Time Machine Learning with Vladimir Bychkovsky - TWiML Talk #221
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
English - January 17, 2019 19:34 - 46 minutes - ★★★★★ - 323 ratingsTechnology News Tech News machinelearning artificialintelligence datascience samcharrington tech technology thetwimlaipocast thisweekinmachinelearning twiml twimlaipodcast Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Previous Episode: Building a Recommender System from Scratch at 20th Century Fox with JJ Espinoza - TWiML Talk #220
Next Episode: AI Innovation at CES - TWiML Talk #222
Today we’re joined by Vladimir Bychkovsky, Engineering Manager at Facebook, to discuss Spiral, a system they’ve developed for self-tuning high-performance infrastructure services at scale, using real-time machine learning. In our conversation, we explore how the system works, how it was developed, and how infrastructure teams at Facebook can use it to replace hand-tuned parameters set using heuristics with services that automatically optimize themselves in minutes rather than in weeks.