У нас вы можете посмотреть бесплатно Run:AI, Weka.io, and Rancher / Suse on Kubernetes in Production или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
Containers have become the go-to technology for application developers. It’s one thing to experiment or run a POC on a set of servers, but taking Kubernetes to production for the critical applications in your enterprise comes with a number of challenges. Who is going to own the strategy and design the system? Where are you going to run Kubernetes: public cloud? on-premises? bare metal? hybrid cloud? How are you going to manage multiple clusters, the latest updates, and upgrades? What are some of the storage considerations? What about monitoring, logging, troubleshooting, capacity planning, ensuring HA, and backups?? All of that and more will be discussed by three experts in Kubernetes deployments: • Shailesh Manjrekar, Head of AI at WekaIO • Ronen Dar, CTO and co-founder at Run:AI • Kyle Rome, Center of Excellence Director - Americas at SUSE at Rancher Here's what was covered in the video: What it takes to manage running stateless, cloud-native applications with legacy, stateful workloads When to use self-managed K8s versus hosted K8s What a fully functional Kubernetes solution looks like, from infrastructure to ongoing virtualized data management How to orchestrate AI jobs and manage training and inference K8s clusters at scale