Companies and their customers continue to generate and store data with rapid growth. Kubernetes with local persistent storage enables high-performance workloads and scale-out storage software services to keep pace with demand both on-premise and in the cloud.
We’ll show how we leverage the Kubernetes local persistent storage feature to run multiple distributed storage services in production clusters. Topics discussed and demoed include node and local disk preparation, local PV provisioning with multiple storage classes, workload scaling, recovery, and future improvements.
Michelle Au is a software engineer at Google and is a Kubernetes SIG Storage tech lead. She has worked on Kubernetes volume security, the Container Storage Interface, volume topology, and local persistent storage.
Dr. Ian Chakeres enjoys building cloud software teams, products, and technology at Google. Ian holds an Executive MBA from the University of North Carolina KFBS, a PhD in Electrical Engineering from the University of California Santa Barbara, a MS in Electrical Engineering from the... Read More →
