Seattle, WA
December 10–13, 2018
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Tuesday, December 11 • 2:35pm - 3:10pm
Peloton - A Unified Scheduler for Web-scale Workloads on Mesos & Kubernetes - Min Cai & Nitin Bahadur, Uber

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Efficient use of cluster resources is important for web-scale companies like Uber. Those companies require large-scale clusters for stateless, stateful and batch jobs. Today, web-scale companies have built custom schedulers on top of Mesos due to lack of viable open-source solutions. Kubernetes has gained lots of momentum in recent years but lacks the scale and efficiency needed by web-scale companies.

This talk introduces Peloton - A unified scheduler for mixed workloads that is horizontally scalable to 10K+ nodes and millions of containers. It has an extensible architecture and supports both Mesos and Kubernetes. Peloton manages compute resources more efficiently and guarantees hierarchical max-min fairness for different teams. It provides a seamless path for companies on Mesos to adopt Kubernetes. Peloton is also cloud agnostic and can be run on-prem or in any public Cloud.

avatar for Nitin Bahadur

Nitin Bahadur

Head Compute Cluster Infrastructure, Uber
Nitin Bahadur heads the Compute Cluster team at Uber where he is responsible for managing & scaling Uber’s compute infrastructure across various geographies. Uber’s goal is to have all kinds of workloads run on a common high-performing compute platform and Nitin’s team is working... Read More →
avatar for Min Cai

Min Cai

Sr. Staff Engineer, Uber
Min Cai is a Sr. Staff Engineer in Compute Platform team at Uber working on all-active datacenters, cluster management and micro-service deployment systems. He received his Ph.D. degree in Computer Science from Univ. of Southern California. Before joining Uber, he was a Sr. Staff... Read More →

Tuesday December 11, 2018 2:35pm - 3:10pm
Ballroom 6A