Platform teams are taking on inference
Running inference and AI agents in production is quickly becoming a platform engineering problem. Somebody has to schedule the GPUs and keep model traffic secure and observable, and that’s usually the platform team.
On Tuesday, December 1, open source maintainers and practitioners from the cloud native community show how they run these workloads with open source projects. KubeCrash is organized by the community, and every talk is built around tools you can install yourself.
Catherine Paganini
Marketing Director, Buoyant; Co-Chair CNCF Merge Forward
Lisa-Marie Namphy
CNCF Ambassador; Director Developer Relations, Intuit
Danielle Cook
CNCF Ambassador, Co-chair CNCF Cartografos Group
Sabine Wolz
Senior Product Manager, Mercedes-Benz Tech Innovation
Eddie Wassef
Managing Director, JPMorgan Chase
Solomon Hykes
Founder of Docker and Dagger
Kasper Nissen
Lead Platform Architect, Lunar
Philipp Hugenroth
Software Engineer, Spotify
Charity Majors
CTO, Honeycomb
Ahmed Bebars
Principal Engineer, The New York Times
Whitney Lee
CNCF Ambassador
Iris Dyrmishi
Senior Observability Engineer, Miro, CNCF Ambassador
Alexa Nicole Griffith
Senior Software Engineer, Bloomberg
Jake Walden
Technical Product Owner, Capital One
Dima Shevchuk
Staff Software Engineer, Production Engineering; Grammarly
Lisa Shissler Smith
Director at Women Who Code; Former Engineering Manager at Netflix and Zapier
Nicol Daňková
Head of SOC (incl. Incident Response & CTI), Henkel
Kaslin Fields
Manager of Cloud Runtimes Developer Relations, Google; Co-Host Kubernetes Podcast
Ricardo Torres
Chief Engineer of Open Source & Cloud Native, Boeing
Christopher Voss
Senior Software Engineer, Microsoft (Xbox)
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