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Sponsored Session: Kubermatic - Fighting the Final Boss: Complex Multi-site Multi

Authors:   Sascha Haase


Abstract

Sharing of Personal Information with Sponsors In order to facilitate networking and business relationships at the event, you may choose to visit a third partyʼs virtual booth or to access sponsored content. You are never required to visit third party booths or to access sponsored content. When visiting a booth (e.g. by clicking on a third partyʼs logo in the Solutions Showcase or exhibitor directory, and any actions within the booth thereafter including viewing resources), when accessing sponsored sessions in the Sponsor Theater, or by participating in sponsored activities, the third party will receive some of your registration data. This data includes your first name, last name, title, company, address, email, standard demographics questions (i.e. job function, industry), and details about the sponsored content or resources you interacted with. If you choose to interact with a virtual booth or access sponsored content, you are explicitly consenting to receipt and use of such data by the third-party recipients, which will be subject to their own privacy policies.This is an on-demand session and will be available for the duration of the event.With the rise of Kubernetes’ popularity across various use-cases, including edge computing, IoT, 5G, or AI/ML, single-cluster Kubernetes deployments are increasingly becoming an exception rather than the norm. As the number of clusters increases, the management of these clusters and the applications running in them quickly becomes the operators’ final boss.In this tutorial, we will show you how you can master this challenge with open source platforms developed by Kubermatic: Kubermatic Kubernetes Platform for multi-cluster infrastructure management and KubeCarrier for multi-cluster application deployment and management.Come and learn how you can use these tools to master the final boss and automate the full lifecycle of complex multi-cluster solutions consisting of applications spread across multiple Kubernetes clusters.

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