35 min listen
Self-Tuning Services via Real-Time Machine Learning with Vladimir Bychkovsky - TWiML Talk #221
FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Self-Tuning Services via Real-Time Machine Learning with Vladimir Bychkovsky - TWiML Talk #221
FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
ratings:
Length:
46 minutes
Released:
Jan 17, 2019
Format:
Podcast episode
Description
Today we’re joined by Vladimir Bychkovsky, Engineering Manager at Facebook, to discuss Spiral. Spiral is a system they’ve developed for self-tuning high-performance infrastructure services at scale, using real-time machine learning. In our conversation, we explore the ins and outs of Spiral, including 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. We also discuss the challenges of implementing these kinds of systems, overcoming user skepticism, and achieving an appropriate level of explainability. The complete show notes for this episode can be found at twimlai.com/talk/221.
Released:
Jan 17, 2019
Format:
Podcast episode
Titles in the series (100)
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