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UID:pretalx-devconf-us-2025-XD9U37@pretalx.devconf.info
DTSTART;TZID=EST:20250919T100000
DTEND;TZID=EST:20250919T103500
DESCRIPTION:Retrieval-Augmented Generation (RAG) workloads are powerful—b
 ut deploying them can be complex. In this session\, I’ll walk through ho
 w we built a golden path for AI chatbot deployment using Red Hat Developer
  Hub on OpenShift\, GitOps workflows\, and Argo CD. With a single template
 \, we automate GitOps repository scaffolding\, Argo CD manifests\, and Hel
 m chart deployments—integrating AI model inference\, GPU support\, and p
 ipeline-ready structure from the start.\n\nYou’ll see how we combined De
 vOps best practices with developer experience tooling to make AI applicati
 on onboarding faster\, more consistent\, and fully auditable.\n\nIdeal for
  developers\, admins\, and DevOps engineers\, this session shows how Red H
 at Developer Hub can serve as the foundation for automating complex RAG de
 ployments within a GitOps framework. Whether you’re supporting LLM proje
 cts or scaling internal platforms\, you’ll leave with practical steps to
  go from zero to production-ready—confidently and repeatably.
DTSTAMP:20260315T083919Z
LOCATION:101 (Capacity 48)
SUMMARY:Zero to GitOps: Automating RAG Workloads with Backstage Templates -
  Rose Crisp
URL:https://pretalx.devconf.info/devconf-us-2025/talk/XD9U37/
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