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Self-Hosting AutoBot: A DevOps Deep Dive into Docker Compose, Model Sizing, and Production Ops

DEV Community·Mārtiņš Veiss·22 days ago
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#docker#devops#selfhosted#ai#redis#ollama
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You've seen the demos. You want to run AutoBot on your own hardware, your own data, under your own control. Good instinct. Here's the full operational picture — Docker Compose internals, how to match LLM models to your GPU or CPU, and the production habits that keep things stable long-term. Why Self-Host? AutoBot's tagline is "Your data. Your AI." That's not marketing copy — it's an architectural choice. When you self-host: Conversations never leave your network You choose which models run (open-weight, cloud API, or a mix) Upgrade timing is yours to control No per-seat pricing surprises The trade-off is operational responsibility. This post is about making that trade-off comfortable. Docker Compose Deep Dive AutoBot ships with a docker-compose.yml that wires together several services. Let's walk through each layer.…

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