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atxpaul/README.md

πŸ€– AI-Driven Platform Engineer | DevOps Lead | Cloud Architect

I build platforms that scale teams, not just infrastructure.

Platform Engineer & DevOps Lead with deep experience designing AI-enabled, observable and automated platforms across Azure, AWS and hybrid environments. I focus on empowering engineering teams through self-service platforms, infrastructure automation, and AI-augmented workflows.

My work lives at the intersection of cloud, DevOps, observability and applied AI β€” where reliability, cost, and developer experience matter as much as innovation.


πŸš€ What I Focus On

🧱 Platform Engineering

  • Designing internal developer platforms (IDP) and shared infrastructure layers
  • Building golden paths, reusable modules and opinionated templates
  • Enabling teams via self-service pipelines and infrastructure

πŸ€– AI + Cloud Systems

  • Integrating LLMs and Azure AI services into cloud platforms and automation tools
  • AI-assisted operations, diagnostics and developer workflows
  • Exploring agent-based systems and AI-driven observability

βš™οΈ DevOps & Automation

  • CI/CD platforms with GitHub Actions & Azure DevOps, focused on reusability and governance
  • End-to-end automation: infra lifecycle, deployments, operations
  • Strong Infrastructure as Code culture (Terraform, Bicep, CDK)

πŸ“ˆ Observability & Reliability

  • Designing full-stack observability with OpenTelemetry as a foundation
  • Metrics, logs and traces with Grafana, Prometheus, Loki, Tempo
  • Cloud-native monitoring: Azure Monitor, CloudWatch, X-Ray

πŸ› οΈ Tech Stack (real-world, not theoretical)

  • Cloud: Azure (primary), AWS, hybrid & on-prem
  • Platform & IaC: Terraform, Bicep, AWS CDK
  • Containers & Orchestration: Docker, Kubernetes (AKS, EKS, k3s)
  • CI/CD: GitHub Actions, Azure DevOps, Jenkins
  • Languages: Python, TypeScript, Node.js, Bash, PowerShell
  • AI & Data: Azure AI, LLM integrations, serverless AI workloads
  • Observability: OpenTelemetry, Grafana, Prometheus, Loki, Tempo
  • Databases: PostgreSQL, SQL Server, MongoDB, CosmosDB

🧠 How I Think

  • Platform over projects
  • Automation over manual work
  • AI as an accelerator, not a toy
  • Developer Experience is a feature
  • Cost, reliability and sustainability matter

🌍 Beyond Day-to-Day Work

  • πŸŽ₯ Content creator β€” DevOps, platform engineering & automation on YouTube
  • πŸ§‘β€πŸ« Speaker & mentor β€” explaining complex systems in simple terms
  • πŸ§ͺ Homelab & experimentation β€” Kubernetes, observability stacks, AI agents
  • ♻️ FinOps-aware β€” building platforms that scale without wasting money

πŸ“Ή YouTube: https://www.youtube.com/@PanDevOps
πŸ’Ό LinkedIn: https://www.linkedin.com/in/pablo-pan-veira/

Pinned Loading

  1. AzureCheatSheet AzureCheatSheet Public

    Basics for Azure

    HCL 1

  2. microservices-poc microservices-poc Public

    Proof of Concept for deploying Node.js&Bun microservices on a Kubernetes cluster using Minikube.

    JavaScript

  3. health_checker health_checker Public

    Python 2

  4. python-app-pipeline-example-advanced python-app-pipeline-example-advanced Public

    Python 2

  5. react-app-pipeline-example react-app-pipeline-example Public

    JavaScript 3

  6. python-observability-poc python-observability-poc Public

    Python 7 2