Overview
Explore the potential of Kubernetes as a data platform in this informative panel discussion featuring experts from the Data on Kubernetes Community (DoKC). Delve into the drivers behind the growing movement of running data workloads on Kubernetes, examining its scalability, flexibility, resilience, openness, and cost-effectiveness. Discover how organizations benefit from increased productivity, revenue growth, market share, and margin when adopting Kubernetes for data management. Learn about recent advances in the Data on Kubernetes (DoK) ecosystem, including improvements in storage, operators, auto-scaling, and networking. Gain insights into how Kubernetes features align with trends in data management, such as the separation of storage and compute. Examine the ways Kubernetes enhances data management practices and understand which capabilities, like object storage, are best left to applications. This discussion provides valuable insights for professionals interested in leveraging Kubernetes for data-intensive and AI/ML applications in a cloud-native environment.
Syllabus
Kubernetes as a Data Platform - Robert Hodges, Edith Puclla, Clayton Coleman
Taught by
CNCF [Cloud Native Computing Foundation]