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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, you will explore the operational challenges of running a Cluster Scheduler to serve highly available services across multiple geographies and in a heterogeneous runtime environment. You will discover the needs from a cluster scheduler with respect to managing multiple runtime/virtualization platforms, provide observability, running maintenance on hardware and software, etc.
Lastly, you will learn about an open source distributed cluster scheduler called Nomad, and Diptanu will briefly describe its architecture and present how Nomad solves the operational challenges and provides a highly scalable environment for running applications on tens of thousands of nodes spread across multiple datacenters and compute platforms.
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Keynote: Taming the Modern Public and Private Clouds with Nomad
Diptanu is a Senior Engineer at HashiCorp, and works on large-scale distributed systems, cluster schedulers, service discovery and highly available and high throughput systems on the public cloud. He is a core committer to the Nomad cluster scheduler which has a parallel and distributed scheduler and support heterogeneous virtualized workloads.