Running services in Docker and Docker Compose: self-hosted stacks, deployment patterns and container hardening.
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.
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.
Here's the complete patch-status and lockdown guide, including the systemd hardening, origin validation, env-variable command injection fix, ClawHub skill safety, and how to tell if you've already been hit.
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.
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.
Vaultwarden replaces Bitwarden's paid tiers for free. Here's the real feature comparison and our self-hosted setup guide.
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.
Replace Google Drive, Google Photos, 1Password, Plex, and your document scanner with a self-hosted stack that runs on your hardware. Complete Docker Compose setup with Traefik, Nextcloud, Vaultwarden, Immich, Jellyfin, and Paperless-ngx.
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.
Kubernetes runs your Docker containers across a cluster of machines, handles scheduling, health checking, rolling deployments, auto-scaling, and self-healing. When your application outgrows a single server, Kubernetes is how it runs on ten.
Docker packages your application and everything it needs to run into a container that behaves identically on your laptop, your teammate's machine, and the production server. "It works on my machine" stops being a problem. Here is how it actually works and what production usage looks like.
