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Enterprise-grade data platform running on homelab Kubernetes. Built for learning, experimentation, and real-world results.
What is DataHub.local?
DataHub.local is a personal homelab project that runs a complete, enterprise-grade data platform on hardware. Think of it as a personal Snowflake/Databricks — running at home, on a Kubernetes cluster made of OrangePi boards, a NAS, and a laptop.
It is simultaneously a portfolio project, a learning environment, and a real working platform used daily for data workflows, media, AI inference, and home automation.
Goals
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Infrastructure as Code
Deploy and maintain a production-grade Kubernetes cluster using GitOps, Ansible, and Helm — fully reproducible from a git repository.
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Data Platform
Design and run a scalable data lakehouse: ingestion → streaming → storage → transformation → visualization.
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AI & Automation
Self-host LLMs for inference, build AI-powered workflows in n8n, and run autonomous agents for SRE/DevOps tasks.
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Security & Observability
Full-stack monitoring (metrics, logs, alerts), zero-trust networking with Tailscale, and OIDC-based SSO for all services.
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Portfolio & Learning
Every component here is a hands-on experiment — from kernel-level GPIO fan control to Iceberg table formats and LLM pipelines.
About the Author
