Why Kubernetes Is Inappropriate for Platforms and How to Make It Better
CNCF [Cloud Native Computing Foundation] via YouTube
Master AI and Machine Learning: From Neural Networks to Applications
The Investment Banker Certification
Overview
AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
Explore the limitations of Kubernetes as a framework for building platforms and discover innovative solutions to enhance its capabilities. Delve into a 35-minute conference talk presented by Stefan Schimanski from Upbound, Mangirdas Judeikis from Cast AI, and Sebastian Scheele from Kubermatic at a CNCF event. Learn about extending Kubernetes' architecture to better accommodate service and API providers, as well as self-service consumers like developers and application owners. Examine three key dimensions for improving Kubernetes' platform engineering potential: workspace hierarchy for enhanced multi-tenancy, cross-workspace API exports and bindings tailored for specific personas, and cluster mounting for unified user interface and identity management. Gain insights into adapting Kubernetes beyond container orchestration to meet the evolving needs of platform engineering.
Syllabus
Why Kubernetes Is Inappropriate for Platforms, and How to Make It Better
Taught by
CNCF [Cloud Native Computing Foundation]