Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
Osman Sarood

Osman Sarood
Infrastructure Team Lead, Mist Systems

Website

Osman Sarood leads the infrastructure team at Mist Systems, where he helps Mist scale the Mist Cloud in a cost-effective and reliable manner. Osman has published more than 20 research papers in highly rated journals, conferences, and workshops and has presented his research at several academic conferences. He has over 400 citations along with an i10-index and h-index of 12. Previously, he was a software engineer at Yelp, where he prototyped, architected, and implemented several key production systems and architected and authored Yelp’s autoscaled spot infrastructure, fleet_miser. Osman holds a PhD in high-performance computing from the University of Illinois Urbana-Champaign, where he focused on load balancing and fault tolerance.

Sessions

4:35pm–5:15pm Wednesday, 09/12/2018
How to cost-effectively and reliably build infrastructure for machine learning
Location: 1A 21/22 Level: Beginner
Secondary topics:  Data Platforms
Osman Sarood (Mist Systems)
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Mist consumes several terabytes of telemetry data daily from its globally deployed wireless access points, a significant portion of which is consumed by ML algorithms. Last year, Mist saw 10x infrastructure growth. Osman Sarood explains how Mist runs 75% of its production infrastructure, reliably, on AWS EC2 spot instances, which has brought its annual AWS cost from $3 million to $1 million. Read more.