Open Source · lra-cloud-ops

Platform Engineering
for production workloads.

Infrastructure as Code, Kubernetes, GitOps and AI orchestration — open source foundations, production-grade delivery. Solo practitioner. Full-stack platform engineering.

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✓ Production-grade · ✓ AWS · Azure · GCP · ✓ Open Source · ✓ Healthcare infrastructure

AI Agents

8 specialized · 14 integrations

AWS

EKS · RDS · ECR · VPC

Kubernetes

kubeadm · Calico · ArgoCD

Terraform

7 modules · dev/prod

GitOps

ArgoCD · Helm · sync

github.com/lra-cloud-ops · 4 repos · Python · Terraform · Bash · HCL

last scan: 4.2s · 0 critical

All systems operational last scan: 4.2s · 0 critical 33/33 tests passing

A platform stack, not a portfolio

Four repositories. Four production-grade capabilities. One platform.

Client Interface

lracloudops.com

Entry point for infrastructure audit requests. The contact form triggers lra scan via webhook dispatch to GitHub Actions.

AI Orchestration

lra-ai-platform

Multi-agent platform implementing a Supervisor → TaskPlanner → GovernanceEngine → AgentManager execution model with 5 RBAC levels.

Cloud Infrastructure

aws-terraform-devops · aws-devops-agent

Seven modular Terraform configurations provisioning VPC, EKS, RDS, ECR, IAM, CloudWatch and S3 on AWS eu-west-1. Natural language AWS operations via 31-function tool-use agent.

Container Runtime

k8s-on-premise

Multi-node Kubernetes cluster bootstrapped with kubeadm. Calico CNI, NGINX Ingress, Helm add-ons, ArgoCD GitOps sync.

Open Source Platform

Four capabilities. Inspect the code.

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Core Platform

AI Agents

lra-ai-platform — 8 agents, 14 integrations, 9 workflows

Multi-agent platform for DevOps automation with Governance Engine.

Lab

Cloud AI

aws-devops-agent — AI model + 24 AWS services

AI agent using an AI tool-use loop to manage AWS in natural language.

Core Platform

Infrastructure

aws-terraform-devops — VPC, EKS, RDS, ECR with Terraform

Production-ready AWS infrastructure with 7 Terraform modules and CI/CD.

Supporting

Kubernetes

k8s-on-premise — bare metal K8s with kubeadm + ArgoCD

Multi-node Kubernetes cluster from scratch with ArgoCD GitOps sync enabled.

Engagement model

From assessment to operations — a repeatable engineering process.

Assess

lra scan — Trivy and Checkov analysis across your codebase. Report within 24 hours.

Architect

VPC topology, compute tier, data layer and security boundaries — designed around your workload.

Engineer

Terraform, Kubernetes, ArgoCD — defined in code, deployed declaratively.

Operate

Monthly security scans, drift detection and platform reviews.

Platform Engineering in practice

Real implementations across infrastructure, platform and AI layers.

AI Agents

Automate DevOps with specialized AI agents

lra-ai-platform provides 8 specialized agents — Cloud Architect, Security Engineer, SRE, and more — each executing operations via 14 integrations with AWS, Kubernetes, Terraform and Ansible.

Explore lra-ai-platform →

AWS Infrastructure

Production-ready AWS infrastructure with Terraform

aws-terraform-devops delivers a complete AWS environment: VPC with multi-AZ subnets, EKS 1.31 cluster, RDS PostgreSQL 15, ECR registry, and a Flask app deployed via Helm and managed by ArgoCD.

Explore aws-terraform-devops →

Kubernetes

On-premise Kubernetes cluster from scratch

k8s-on-premise builds a multi-node Kubernetes cluster using kubeadm on Vagrant/VirtualBox. Calico CNI, NGINX Ingress, Helm, and ArgoCD GitOps sync included.

Explore k8s-on-premise →

Security

Automated security scanning with Trivy and Checkov

The Security Engineer agent in lra-ai-platform runs Trivy for container and IaC vulnerabilities and Checkov for Terraform, Kubernetes and Dockerfile misconfigurations — generating a PASS/FAIL report automatically.

Natural Language AWS

Manage AWS in natural language with an AI agent

aws-devops-agent uses an AI model in a tool-use loop to query and manage 24 AWS services. Ask questions in plain English or Spanish and retrieve data directly from your AWS account.

Engineering Capabilities

Platform Engineering capabilities

Defined by what they enable in production.

Infrastructure as Code

Seven modular Terraform configurations deploy a complete AWS environment: VPC, EKS 1.31, RDS PostgreSQL 15, ECR, IAM, CloudWatch, S3. Multi-AZ, least-privilege IAM, automated backups.

↗ aws-terraform-devops

Container Orchestration

Kubernetes on AWS EKS and bare-metal kubeadm. Calico CNI, NGINX Ingress, ArgoCD GitOps with auto-sync and self-healing. Same declarative patterns at different infrastructure layers.

↗ k8s-on-premise

GitOps Delivery

GitHub Actions for CI. ArgoCD for continuous delivery. Every manifest change triggers lint, test, security scan and declarative cluster sync. No manual deployments.

↗ aws-terraform-devops

Security Automation

lra scan executes Trivy (CVE detection) and Checkov (IaC misconfiguration analysis) on every repository. Findings classified by severity with AI-generated remediation.

↗ lra-ai-platform

AI Agent Orchestration

Eight specialized agents with deterministic task planning and 5-level RBAC governance. Integrations include Terraform, Kubernetes, Ansible, AWS, Trivy and Checkov via tool-use APIs.

↗ lra-ai-platform

Cloud Operations

Tool-use agent with 31 boto3 functions covering EC2, EKS, RDS, IAM, S3, CloudWatch and 18 additional AWS services. Natural language queries return real-time API responses.

↗ aws-devops-agent

Cloud platforms

The platform runs on any major cloud provider. Infrastructure modules are cloud-portable — consistent architecture regardless of deployment target.

EKS RDS ECR VPC IAM CloudWatch S3 DynamoDB