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Thursday, August 20 • 2:00pm - 2:40pm
Heterogeneous Resource Scheduling Using Apache Mesos for Cloud Native Frameworks - Sharma Podila, Netflix

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Netflix customers stream more than two billion hours of content each month, accounting for over a third of downstream Internet traffic. At this scale, real time insights are critical to a smooth streaming experience. Sharma Podila will present an in-depth look at the technology - including the Fenzo task scheduler for Apache Mesos and Mantis, a cloud native event stream processing platform - that Netflix uses to gain real time operational insights into system behavior. The talk will focus on the design and usability of Fenzo and will provide details on how it uses CPU, memory, and network bandwidth resources for job scheduling. The presentation will showcase bin packing, task locality, resource affinity, task constraints, and autoscaling of the slave cluster. To close Sharma will talk about future directions and opportunities to collaborate with the Mesos community.

avatar for Sharma Podila

Sharma Podila

Senior Software Engineer, Netflix
Sharma Podila is a Senior Software Engineer at Netflix, Inc. He is the author of open source Fenzo scheduling library for Mesos frameworks. His current work includes developing cloud native Mesos frameworks for Netflix project Titus, a Docker based application deployment platform, and project Mantis, a reactive stream processing platform. Sharma is looking forward to chatting about and collaborating on Mesos frameworks and schedulers.

Thursday August 20, 2015 2:00pm - 2:40pm