Scaling Kubeflow for Multi-tenancy at Spotify

Explore Spotify's journey in scaling Kubeflow for multi-tenancy in this conference talk. Learn how the company addressed challenges of increased adoption and complex machine learning experiments while ensuring cluster reliability and equitable resource access. Discover Spotify's streamlined tooling for maintaining, deploying, and monitoring their Kubeflow distribution. Gain insights into their multi-cluster approach, team-based multi-tenancy strategies, and implementation of infrastructure-as-code. Understand how they tackled new challenges using ArgoCD, improved observability, and expanded on-cluster compute capabilities. Delve into their focus on SLO tracking, telemetry, and metrics, as well as their efforts to enhance product identity and promote self-service. Get a glimpse of Spotify's future plans for their Kubeflow platform and their commitment to open-source contributions in the field of machine learning infrastructure.