This is the companion repository for a full-day workshop at the Continuous Lifecycle Conference in Mannheim on November 18, 2025.
Companies increasingly recognize the strategic importance of Artificial Intelligence, yet deploying AI solutions at scale presents significant challenges. This hands-on workshop provides a practical, step-by-step guide to designing and building a cloud-native AI platform.
You'll learn how to create a unified platform that simplifies the entire AI lifecycle using Kubernetes.
What you'll build:
- Agent runtime and orchestration layer
- API gateways for unified agent and model access
- Observability and monitoring stack
This repo guides you through the process of instantiating your own AI platform.
10:00 Uhr: Einführung
- Vorstellung und Zielsetzung
- Architektur-Deep-Dive: Bausteine einer KI-Plattform
- (Kaffeepause um 11:30)
13:00 Uhr: Mittagspause
14:00 Uhr: Technologie-Stack unter der Lupe
- Deployment und Betrieb von Agentic Workloads
- (Kaffeepause um 15:30)
- Offene Diskussion, Q&A und Wrap-up
ca. 17:00 Uhr: Ende
- Step 0: Platform setup
- Step 1: Instantiating a runtime layer to enable agent orchestration
- Step 2: Provisioning of Agent Gateways
- Step 3: Provisioning of AI Gateways
Step 4: Setting up a Quality Plane (WIP)- Step 5: Setting up a Service Plane
- Step 6: (Bonus) GitOps
Link to the => Miro <=
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Fork this repository
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Create a Github Codespace
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Claim a vCluster by entering your name (or just an emoji) in this spreadsheet: https://ethercalc.net/mzku2p0zjwkk
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In your Github Codespace, decrypt the kubeconfig (Kubernetes credentials file) for your vCluster.
# Usage: ./decrypt-kubeconfig.sh <encrypted-file> <password> [output-file]
./decrypt-kubeconfig.sh kubeconfigs/participant-1-kubeconfig.yaml.enc <password-announced-during-workshop> kubeconfig.yaml
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Connect to your vCluster
export KUBECONFIG=kubeconfig.yaml kubectl get pods -
Start hacking!