Defeat Complexity with Use-Case-Optimized Kubernetes Platforms

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Presented by

Sergey Goncharov, Senior Product Manager

About this talk

Kubernetes platform engineering is complex, especially with large, shared clusters supporting multiple workloads and teams. Defeating complexity requires multi-cluster thinking: Compose clusters declaratively with services and policies to support one or a small range of workload types (versus many); administer and lifecycle manage declaratively to continually assure cluster state; and repeat for all the workload types your organization needs to support. Simplifying platforms and customizing them to workload requirements pays off bigtime in agility, smoother operations, higher workload availability, security, and compliance. Plus: You don't need to implement a global multi-cluster architecture to do this at smaller scales. In this webinar, we’ll explore: - How to think of Kubernetes platforms as containers for workloads, services (LMA, FinOps), and policies. - Building up use-case-optimized platforms from 'bare clusters.' - Approaches to automate platform operations and LCM. - Strategies to keep platforms healthy and integrated over time. And we'll share how we're doing all of this with open-source-based tools. Join us!
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Mirantis helps organizations ship code faster utilizing public and private clouds, providing a public cloud experience on any infrastructure from the data center to the edge. With a long-standing record of delivering solutions based on open source with enterprise-grade support, Mirantis offers an as-a-service experience of Kubernetes and OpenStack to provide containerization and virtualization services. Mirantis serves many of the world’s leading enterprises, including Adobe, DocuSign, Liberty Mutual, Nationwide Insurance, Reliance Jio, S&P Global, Seagate, Société Générale, and Volkswagen. Learn more at www.mirantis.com. Mirantis is a global company headquartered in Campbell, California.