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@AI-Governance-Lab

AI-Governance-Lab

A collection of hands-on projects integrating AI Governance, Kubernetes, and Infrastructure as Code with real-world automation use cases.
README.md

AI Governance Lab

Open-source building blocks for end‑to‑end AI governance, secure AI agent deployment, and multi‑cloud MLOps.

Overview

We curate reproducible patterns that accelerate responsible AI adoption:

  • Multi‑cloud & hybrid AI agents (PowerVS, Kubernetes, on‑prem)
  • Retrieval Augmented Generation (Qdrant + orchestration)
  • Secure image supply chain & hardened base containers
  • Infrastructure as Code & composable Helm charts
  • ML experiment tracking (MLflow) & lineage
  • Model/data quality & drift monitoring (Evidently)
  • Lightweight model serving (FastAPI + Ollama)
  • Governance by design: traceability, isolation, least privilege

Featured Repositories

Area Repos
Agent Infra & RAG k8s-ai-agent-multicloud-rag-iac, k8s-ai-agents-demo
SAP / PowerVS ai-agent-s4hana-powervs-deployer
Base Images docker_images_for_ai_agents
Monitoring k8s-evidently-demo
Experiment Tracking k8s-mlflow-rancher-desktop, k8s-mlflow-demo
Serving k8s-ollama-fastapi-demo
GCP / Vertex AI vertex-ai-first-test

Architecture Pillars

  1. Governance by design (auditability, provenance)
  2. Isolation & portability (multi‑cloud ready)
  3. Observability & drift detection
  4. Supply chain hygiene (minimal, scanned, SBOM)
  5. Modularity & composability (small IaC / Helm units)

Quick Start

  1. Select a pattern repo (e.g. k8s-ai-agent-multicloud-rag-iac)
  2. Read its README for prerequisites (Kubernetes, credentials, tooling)
  3. Build or pull a base image from docker_images_for_ai_agents
  4. Deploy via Helm or IaC scripts
  5. Enable MLflow + Evidently integrations
  6. Extend with additional agents or RAG data sources

Contribution Guide

  • Open an issue before large changes
  • Keep modules stateless & parameterized
  • Include minimal architecture diagram (PlantUML / Mermaid)
  • Provide SBOM or image scan notes for new container images
  • Prefer small, reviewable PRs

Governance & Compliance Readiness

  • Reproducible builds (Dockerfiles + pinned deps)
  • Supply chain transparency (add SBOM if possible)
  • Policy hooks: add admission controls / OPA examples (PRs welcome)
  • Observability: expose metrics, logs, drift signals

Roadmap (Indicative)

  • Policy enforcement examples (OPA / Kyverno)
  • Extended vector store adapters
  • Secure multi‑tenant agent runtime pattern
  • CD pipelines with attestations

Community & Support

  • Issues: feature requests / bugs
  • Discussions (enable if needed) for design proposals
  • Tag PRs with area labels (governance, infra, monitoring, serving)

Fun Facts

  • We like reproducible notebooks more than mystery charts
  • Preferred breakfast: immutable artifacts + clean SBOMs

License

Each repository declares its own license (default: permissive OSS). Review per‑repo LICENSE before use.

Maintained by the AI Governance Lab organization.

Popular repositories Loading

  1. k8s-ollama-fastapi-demo k8s-ollama-fastapi-demo Public

    FastAPI + Ollama LLM demo: containerized AI inference with Kubernetes, ready for governance tools.

    Dockerfile

  2. k8s-ai-agent-multicloud-rag-iac k8s-ai-agent-multicloud-rag-iac Public

    RAG-powered K8s AI agent for custom-document search and multicloud IaC deployments (AWS/Azure/GCP/IBM) with FastAPI, Terraform, and Helm

    HTML

  3. k8s-evidently-demo k8s-evidently-demo Public

    Kubernetes manifests to run Evidently for drift, quality, and performance monitoring. NodePort/port-forward access, optional Ingress and Prometheus/Grafana, with governance alignment to EU AI Act, …

  4. k8s-mlfow-demo k8s-mlfow-demo Public

    This repo provides a minimal production MLflow 3.3.2 stack on k3s using Helm: PostgreSQL for tracking, MinIO for artifacts, and NodePort access. It’s LLMOps-ready with guidance for prompts, evaluat…

    Python

  5. k8s-ai-agents-demo k8s-ai-agents-demo Public

    Reference Kubernetes demos for AI agents and RAG: deploy containerized agent services, optional Qdrant vector store, FastAPI endpoints, and integrations for MLflow tracking, Evidently monitoring, a…

    Python

  6. k8s-mlflow-rancher-desktop k8s-mlflow-rancher-desktop Public

    Spin up MLflow 3.x on Rancher Desktop (k3s) with PostgreSQL and MinIO—developer‑laptop stack for experiment tracking, artifacts, and model registry.

    Python

Repositories

Showing 8 of 8 repositories

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