The Sched app allows you to build your schedule but is not a substitute for your event registration. You must be registered for KubeCon + CloudNativeCon Europe 2023 to participate in the sessions. If you have not registered but would like to join us, please go to the event registration page to purchase a registration.
Please note: This schedule is automatically displayed in Central European Summer Time (UTC +2). To see the schedule in your preferred timezone, please select from the drop-down menu to the right, above "Filter by Date." The schedule is subject to change and session seating is available on a first-come, first-served basis.
As we all know, Kubernetes cluster life cycle management is challenging. Imagine the herculean job of managing 1000s or more clusters on your clouds. Adopting Cluster API solves this problem to an extent by out-sourcing the burden to "management cluster(s)", which are expected to manage their children-workload clusters. However, it raises many new questions, like a) who manages these 100s of "management clusters" on gigantic clouds? b) scale issues on the management clusters c) how to enable multitenancy on the management clusters d) how to prevent management cluster admin from seeing workload cluster secrets e) HA, RBAC, Backup of the management clusters f) K8s version skew between management and workload clusters and so on. Can we get away with this overhead of "Management clusters" but still leverage all the richness of Cluster API? Yes, that is possible by transforming workload clusters into "Self Managing" clusters. Come to our talk and learn more about our journey on how we have productized the concept of "Self-Managing" clusters in our Multi-tenant cloud platform and our success story.
Arun has been working with Kubernetes since 2016 initially building Data Science and ML platforms at a time when Docker would not always play well with Kubernetes and GPU support was new. Recently Arun has been at VMware working on a KaaS engine for their Multi-Tenant provider named... Read More →
Sahithi Ayloo is the technical lead for Kubernetes-as-a-Service platform for a multi-tenant cloud provider platform at VMware. She holds a strong track record of engineering customer-centric, distributed system-based solutions stacked on top of complex software-defined datacenters... Read More →
