Distributed Cluster Schedulers are becoming increasingly popular. They present a good abstraction for running workloads at a “warehouse-scale” on the public and private clouds by decoupling workload from compute, network and storage resources.
In this talk, we will talk about the operational challenges of running a Cluster Scheduler to serve highly available services across multiple geographies and in a heterogeneous runtime environment. We will go into details of the needs from a cluster scheduler with respect to managing multiple runtime/virtualization platforms, provide observability, running maintenance on hardware and software, etc.
Lastly, we will talk about an open source distributed cluster scheduler called Nomad, briefly describe it’s architecture and
present how Nomad solves the operational challenges and provides a highly scalable environment for running applications.
Tags: cloud, devops, infrastructure
Location: Salon A
April 11th, 2016
11:30 AM - 12:30 PM