How I Built One Backend to Run My Company
Want to start freelancing? Let me help: https://go.datalumina.com/bsqKmbx Want to learn real AI Engineering? Go here: https://go.datalumina.com/7MkIu0k 🔗 Read the full automation backend guide https://learn.datalumina.com/docs/automation-backend Writing AI prompts all day? 🎙Try Glaido, the #1 voice dictation app for developers: https://get.glaido.com/dave ⏱️ Timestamps 00:00 Automation without SaaS tools 02:51 Triggered and scheduled workflows 04:01 Escaping the plumbing tax 06:51 Bottom-up and top-down AI 09:18 Event-driven backend architecture 10:28 My company automation stack 12:49 Workflow categories 14:46 Product purchase workflow 17:50 Structured workflow execution 19:36 Daily revenue sync 21:00 Free proposal template 22:03 Future videos and components 📌 Description I built one backend to run Datalumina's company automations instead of spreading them across Zapier, Make, n8n, and one-off scripts. In this video, I walk through the complete architecture. Webhooks and scheduled jobs feed an event ledger, Redis queues the work, Celery executes workflows, Postgres stores shared state, and Grafana and Sentry show me what happened. I also trace a product purchase and a daily revenue sync through the system. The runtime itself uses very little AI. AI coding agents made this type of custom internal software practical for a small company to build and maintain. 👋🏻 About Me Hi! I'm Dave, AI Engineer and founder of Datalumina®. On this channel, I share practical tutorials that teach developers how to build production-ready AI systems that actually work in the real world. Beyond these tutorials, I also help people start successful freelancing careers. Check out the links above to learn more!
