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UID:pretalx-devconf-us-2025-QSXJKM@pretalx.devconf.info
DTSTART;TZID=EST:20250920T090000
DTEND;TZID=EST:20250920T093500
DESCRIPTION:This talk explores how platform engineering teams can build a s
 elf-service AI/ML infrastructure on Kubernetes—enabling dynamic provisio
 ning\, policy enforcement\, and full observability—while allowing data s
 cientists to stay focused on model development.\n\nWhile ClusterAPI simpli
 fies cluster provisioning\, managing AI/ML workloads demands a full-lifecy
 cle approach. We demonstrate how to extend ClusterAPI with tools like Back
 stage\, OpenFeature\, k0s\, Prometheus\, Sveltos\, and k0rdent to build a 
 scalable\, secure\, and automated AI/ML platform.\n\nKey takeaways include
 :\n\n- AI/ML cluster provisioning with ClusterAPI and k0s\n- Policy-driven
  multi-cluster automation\n- Controlled model rollouts with feature flags\
 n- Self-service ML environments via an Internal Developer Platform\n- Obse
 rvability and performance monitoring at scale\n\nJoin me to discover how a
  Kubernetes-native approach can empower your AI/ML platform engineering jo
 urney.
DTSTAMP:20260315T082204Z
LOCATION:101 (Capacity 48)
SUMMARY:Cluster Provisioning in a New Avatar: An AI/ML-Driven Approach to P
 latform Lifecycle Management - Prithvi Raj\, Justin Winter
URL:https://pretalx.devconf.info/devconf-us-2025/talk/QSXJKM/
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