A collection of open source assets demonstrating end‑to‑end AI governance, secure AI agent deployment, and multi‑cloud MLOps patterns.
- Multi‑cloud AI agents: reusable deployment patterns (PowerVS, Kubernetes, hybrid).
- Retrieval Augmented Generation (RAG): infra + vector DB (Qdrant) + orchestration.
- Secure container build & delivery: scripts and base images under
docker_images_for_ai_agents. - Infrastructure as Code: Kubernetes clusters, Helm charts, IaC modules (
k8s-*,ai-agent-s4hana-powervs-deployer). - MLOps & Experiment Tracking: MLflow demos (
k8s-mlflow-*). - Model & Data Quality Monitoring: Evidently integration (
k8s-evidently-demo). - Fast API + model serving examples (
k8s-ollama-fastapi-demo). - Governance foundations: reproducibility, environment isolation, observability, policy readiness.
- ai-agent-s4hana-powervs-deployer: PowerVS + SAP integration deployment automation.
- docker_images_for_ai_agents: Curated base images for governed AI workloads.
- k8s-ai-agent-multicloud-rag-iac: RAG + agents infra as code.
- k8s-ai-agents-demo: Reference agent scenarios.
- k8s-evidently-demo: Monitoring & drift detection.
- k8s-mlflow-rancher-desktop / k8s-mlfow-demo: Local & cluster MLflow patterns.
- k8s-ollama-fastapi-demo: Lightweight model serving.
- Governance by design: traceability, versioning, auditability.
- Isolation & portability: multi-cloud ready artifacts.
- Observability: metrics, drift, lineage.
- Least privilege & supply chain hygiene.
- Modularity: composable Helm charts / IaC units.
- Pick a stack folder (e.g.
k8s-ai-agent-multicloud-rag-iac). - Review README in that folder for prerequisites.
- Build or pull the required base image from
docker_images_for_ai_agents. - Deploy via Helm / IaC.
- Extend with monitoring (Evidently) and tracking (MLflow).
- Open issues for enhancements.
- Keep modules stateless & parameterized.
- Provide architecture diagrams when adding new vertical capabilities.
Each subfolder contains its license; default is permissive OSS (see included LICENSE files).
Maintained by the AI Governance Lab organization.