Open Source
The complete platform stack.
Seven repositories. Every layer of a modern Platform Engineering stack — inspect the code, run the tools, build on the foundation.
AI Orchestration
lra-ai-platform
8 specialized agents with 5-level RBAC governance — security scanning, infrastructure review, documentation, CI/CD and deployment orchestration.
8 agents · 14 integrations · 33 tests
Cloud Infrastructure
aws-terraform-devops
7 Terraform modules provisioning a complete AWS environment — Multi-AZ VPC, EKS 1.31, RDS PostgreSQL 15, ECR, IAM, CloudWatch, S3.
7 Terraform modules · 18 tests
Container Runtime
k8s-on-premise
Kubernetes from scratch with kubeadm — 1 master, 2 workers on Vagrant/VirtualBox. Calico CNI, NGINX Ingress, Helm add-ons, ArgoCD GitOps.
3 nodes · 25 commits
Cloud Automation
aws-devops-agent
CLI agent with a real tool-use loop — 31 boto3 functions covering 24 AWS services in natural language. Proof of concept for AI-native cloud operations.
31 tools · 24 AWS services
Lab repositories represent active technical exploration. They demonstrate patterns and approaches under development — not finished products.
CI/CD
gitops-stack
Jenkins pipeline with IAM role assumption and SSM-based access — no static credentials, no SSH bastion.
GitHub ↗Fleet Automation
linux-fleet-manager
Bash 4.0+ automation framework for Linux fleet management. ShellCheck-clean, CI across Ubuntu, macOS and Windows Git Bash.
GitHub ↗GitOps Platform
k8s-devops-platform
GitOps-only Kubernetes platform — ArgoCD watches the repo, kubectl apply is never used directly. Kustomize base/overlays pattern.
GitHub ↗