What actually fits on Oracle Cloud free tier after the June 2026 cut: Ghost, Vaultwarden, Syncthing, monitoring, and a small AI model, sized in real RAM.
There's a moment every Discord bot developer remembers, even if nobody makes a big deal of it. You run node index.js, switch over to Discord,
Building a local AI server is more than installing Ollama. This guide builds a full production AI stack with Open WebUI, LiteLLM, Qdrant, Traefik, and Langfuse — what each component does, why it's needed, and three complete Docker Compose configurations for beginners, power users, and small teams.
Self-host OpenClaw from zero to production. Server provisioning, SSH lockdown, Docker, reverse proxy, Fail2ban, performance tuning, and full backup strategy in one guide.
Build a production-grade monitoring stack with Prometheus and Grafana from scratch. Covers architecture, Docker Compose deployment, Node Exporter, alerting with Alertmanager, PromQL from basics to advanced, pre-built dashboards, and everything CoderOasis uses to monitor its own infrastructure.
CoderOasis runs Teleport internally for everything — admin panel access, secure database connections, Kubernetes, and zero-trust philosophy across our entire team. This is the complete technical guide to installing, configuring, and running your own self-hosted Teleport cluster from scratch.
Build a production-grade self-hosted AI agent from scratch using Docker Compose. Covers the full stack — Ollama, n8n, Flowise, Qdrant, SearXNG, Langfuse, and Redis.
Most JavaScript developers never call an RSA function directly. They verify an RS256 token, and two classic attacks turn that into an authentication bypass — both demonstrated here, both fixed by one line.
How to Self-Host Your Own Email Server With Mailcow in 2026 — Complete Setup Guide Meta Description: Stop letting Google and Microsoft read your email. This guide sets up a complete private email server with Mailcow on a NetCup VPS — DNS, SPF, DKIM, DMARC, TLS, webmail, and mobile clients.
Real cost and speed comparison for running Stable Diffusion locally — RTX 3090 vs M3 Max, with a full setup walkthrough.
GitHub Copilot charges $19/month and sends your entire codebase to Microsoft's servers. You can build something better — one that knows your whole project, costs $0/month after hardware, and never phones home.
A local LLM is three layers: weights on disk, a runtime that loads them, an interface that talks to it. Once you see the stack that way, the hardware question answers itself and the tuning stops being guesswork.
