Host: Cedric Clyburn
Guest: Evan Shortiss
Producer: Rohan Venkatram
👉 What you’ll see in this demo:
– How AI engineers can deploy, serve, and manage AI models using Red Hat OpenShift AI
– Streamlining the developer journey from idea to AI-enabled application with Red Hat Developer Hub
– Using a centralized software catalog to improve visibility and governance across teams
– Accelerating self-service development with gold path templates
– Building a consistent developer experience with documentation, plugins, and extensibility powered by Backstage.io
– Interactive Q&A with Cedric & Evan
🎯 Episode Overview:
Cedric Clyburn returns with another Demo Deep Dive, this time joined by Evan Shortiss, Developer Advocate at Red Hat. With a background spanning enterprise consulting, Kubernetes, Apache Kafka, and cloud-native architectures, Evan brings practical insight into helping teams succeed with modern development platforms.
In this episode, you’ll discover how Red Hat OpenShift AI enables AI engineers to efficiently deploy and manage models at scale, while Red Hat Developer Hub simplifies the path from concept to production. Built on Backstage.io, Red Hat Developer Hub provides an enterprise-grade, self-managed developer portal that runs on Red Hat OpenShift and other major Kubernetes platforms including AKS, EKS, and GKE.
Learn how organizations can standardize developer workflows, enable self-service, and reduce friction by combining AI platform capabilities with a powerful internal developer portal. From software catalogs and golden paths to extensibility through plugins, this episode shows how to empower developers while maintaining control and consistency.
🔗 Learn more and interact:
📌 Explore Red Hat OpenShift AI
https://www.redhat.com/en/products/ai/openshift-ai
📌 Explore Red Hat Developer Hub
https://www.redhat.com/en/technologies/cloud-computing/developer-hub
📌 Explore Red Hat OpenShift: https://www.redhat.com/en/technologies/cloud-computing/openshift
📌 Follow Cedric: https://www.cedricclyburn.com/
📅 Livestream: Tuesday, January 10th @ 11am ET
▶️ Watch live or on-demand on @RedHat and @OpenShift
#RedHat #OpenShift #OpenShiftAI #DeveloperHub #Backstage #AIEngineering #PlatformEngineering #CloudNative #Kubernetes #hybridcloud
00:00 Welcome to Demo Deep Dive (Open Source + Practical Demos)
01:40 What We’re Solving: Governing AI Models in the SDLC
01:52 Red Hat Developer Hub 101 (Backstage + OpenShift AI Integration)
04:41 Why This Matters: Control, Cost, and POC-to-Production
06:41 OpenShift AI Model Catalog & Model Registry Walkthrough
09:39 Bridging to DevHub: Syncing Approved Models for Discovery
10:37 DevHub as the One-Stop Portal for Dev Tools + AI Models
13:33 Catalog Deep Dive: Components, Resources, Owners, and Docs
16:08 Model Servers & Dependency Graphs (Who Uses What, and Why It’s Slow)
18:25 Nerdy detour: Christmas lights, Kelvin temps & photography gear
19:13 Back to the demo: Exploring the model API via OpenAPI in DevHub
19:49 DevHub power-ups: Starring entities & adding custom screens
20:21 Using templates to build a chatbot app (and picking a model server)
22:07 Self-serve platform engineering: RBAC, avoiding ticket purgatory & safe deploy gates
24:17 Template stage 2: Repo + registry settings before you create
25:24 Behind the scenes automation: Git push, OpenShift/Argo CD, pipelines & first build
26:20 App in the catalog: topology view, pod logs, and opening the chatbot URL
28:07 Why this matters: supply chain security & freeing devs from infra work
30:32 From FTP to GitOps: how dev workflows evolved
31:51 Try it yourself: OpenShift Sandbox + DevHub/OpenShift AI quickstarts
33:10 Wrap-up: QR resources, more interactive demos, and final thanks
