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Monday, June 19 • 11:40 - 12:10
Policy-Based Resource Placement Across Hybrid-Cloud Federations of Kubernetes Clusters [E] - Torin Sandall & Irfan Rehman, Huawei R&D

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Resource placement is a policy-rich problem, particularly across multi-cluster, multi-geography and multi-cloud environments. Placement may be based on company conventions, external regulation, pricing, performance requirements, or complex combinations of those. Furthermore, placement policies evolve over time and vary across organizations. As a result, it is very difficult to anticipate the policy requirements of all users.

In this presentation, Torin Sandal (Lead Engineer of Open Policy Agent) will present, along with Irfan Ur Rehman, and demonstrate the work they've done integrating OPA into the Kubernetes Cluster Federation Control Plane. This enables high level policies to be expressed in a easy to understand policy language, and automatically enforced across federations of Kubernetes clusters.


Irfan Ur Rehman

Sr. Software Engineer, Turbonomic
Irfan is a senior engineer associated with the Advanced Engineering group at Turbonomic. In his current role he is tasked with drafting multi cluster capabilities for Turbonomic’s analytics platform. He has also been associated with SIG Multicluster, particularly Kubernetes Cluster... Read More →
avatar for Torin Sandall

Torin Sandall

VP of Open Source, Styra
Torin Sandall is a co-founder of the Open Policy Agent (OPA) project. Torin has spent 10 years as a software engineer working on large-scale distributed systems projects. Torin is a frequent speaker at events like KubeCon, DockerCon, Velocity, and more. Prior to working on OPA, Torin... Read More →

Monday June 19, 2017 11:40 - 12:10 HKT
Room 309A
  KubeCon, Developer