Join Kubernetes experts for live panels
Learn Kubernetes with Google
Google brings together Kubernetes experts from across the industry to discuss the latest trends in the project, and how to think about and solve complex problems using Kubernetes.
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2 years ago
Kubernetes changed the way we develop traditional web applications, but the complexities of HPC workloads has left scientific computing on the sidelines of this transformation. In this panel, we will review how Kubernetes opened the door to use cases like training AI/ML models, and which new components are making scientific computing easier.
Aldo Culquicondor
Senior Software Engineer, Google
Maciek Różacki
Senior Product Manager, Google
Ricardo Rocha
Computing Engineer, CERN
Maciej Szulik
Software engineer, RedHat
Danielle Lancashire
Staff software engineer, VMWare
Bob Killen
OSS Program Manager, Google Open Source
2 years ago
The upcoming Kubernetes 1.24 removes Dockershim, which does not mean that the project is dropping support for Docker, Docker images, and all other container tooling. It means that Kubernetes is only supporting Container Runtime Interface (CRI), the standard that has existed for almost 6 years. Dockershim was built as a temporary solution, and focusing on CRI will enable a series of opportunities for the Kubernetes project: improved security, reduced maintainer burden, and the ability to focus on new features.
Join this panel bringing together experts from Google, Docker, VMware and RedHat to hear about the past and future of container runtimes on the Kubernetes project.
Join this panel bringing together experts from Google, Docker, VMware and RedHat to hear about the past and future of container runtimes on the Kubernetes project.
Dawn Chen
Software Engineer, Google Cloud
Sergey Kanzhelev
Staff Software Engineer, Google
Justin Cormack
Chief Technology Officer, Docker
Davanum Srinivas
Senior Staff Engineer, VMware
Mrunal Patel
Senior Principal Software Engineer, RedHat
Bob Killen
OSS Program Manager, Google Open Source
3 years ago
Kubernetes has brought a unified method of managing applications and their infrastructure. Engineering your application to be a global service requires that you start thinking beyond a single cluster; yet, there are many challenges when deploying multiple clusters at a global scale. Multi-cluster has many advantages, it lets you minimize the latency and optimize it for the people consuming your application. In this panel, we will review the history behind multi-cluster, why you should use it, how companies are deploying multi-cluster, and what are some efforts in upstream Kubernetes that are enabling it today.
Laura Lorenz
Software engineer, (Google) / Member of the SIG Multicluster in the Kubernetes project
Tim Hockin
Software engineer, (Google) / Co-Chair of the SIG Networking in the Kubernetes project
Jeremy Olmsted-Thompson
Sr Staff software Engineer (Google) / Co-Chair of the SIG Multicluster in the Kubernetes project
Ricardo Rocha
Computing Engineer (CERN) / TOC Member (CNCF)
Paul Morie
Software Engineer (Apple) / Chair of SIG Multicluster - Kubernetes
