I'm a Cloud & Platform Engineer with 15+ years of experience designing, modernizing, and operating enterprise cloud platforms.
My background spans Azure, Google Cloud, Kubernetes, Infrastructure as Code, DevOps, Platform Engineering, Cloud Cost Optimization (FinOps), and AI infrastructure. Lately I'm digging into LLM architectures, MCP, and agentic AI tooling β see mcp-tutorial below.
https://github.com/rftecpro-ai/mcp-tutorial
- βΈοΈ Kubernetes platform patterns (GKE & AKS) β Kustomize, Helm, and GitOps delivery models
- π GitOps and CI/CD pipeline design (GitHub Actions, ArgoCD)
- π° FinOps & cloud cost optimization
- π Cloud security & governance
- π§ MCP, agentic AI, and AI gateway architectures
- Designed enterprise cloud platforms on Azure and Google Cloud
- Led cloud modernization and migration initiatives
- Built Kubernetes platforms for production workloads
- Implemented Infrastructure as Code using Terraform and Ansible
- Delivered enterprise CI/CD pipelines
- Designed cloud governance and security solutions
- Passionate about helping organizations reduce cloud costs while increasing reliability
Three variations on shipping a containerized app to Kubernetes via GitHub Actions CI and ArgoCD, each demonstrating a different manifest-management approach:
| Repo | Pattern |
|---|---|
| python-webapp-template | Kustomize base + overlays, single repo |
| python-webapp-helm-template | Helm chart, single repo |
| python-webapp-ci-template + python-webapp-ci-template-gitops | Split app/GitOps repos, Kustomize base + overlays |
Each includes a documented release process (branch β version bump β PR β merge) and a separate, deliberate prod-promotion flow.
Skills demonstrated: Kubernetes, Kustomize, Helm, ArgoCD, GitHub Actions, Docker multi-arch builds, GitOps
πΌ LinkedIn https://www.linkedin.com/in/fabio-ribeiro-b337538/

