Docker Multi-Stage Builds — Practical Guide for Homelab
Master Docker multi-stage builds to shrink production images from 1.2GB to under 50MB. Covers Go, Python, and Node.js patterns with real Dockerfiles and build cache strategies.
Master Docker multi-stage builds to shrink production images from 1.2GB to under 50MB. Covers Go, Python, and Node.js patterns with real Dockerfiles and build cache strategies.
Tune your Linux server kernel for maximum throughput and low latency. Covers TCP BBR, network buffer tuning, I/O schedulers, memory management, and CPU governor configuration with real config files and benchmarks.
A small monitoring foundation you can verify before adding host exporters, Loki, Alloy and notification routing. Includes Compose, datasource provisioning and a troubleshooting checklist.
Run Docker containers inside Proxmox LXC with full performance. Covers nesting, overlay2 on ZFS, privileged vs unprivileged tradeoffs, cgroup resource limits, and security hardening for production homelab workloads.
Deploy CrowdSec with Docker Compose and Traefik to protect your homelab services with collaborative threat intelligence. Covers the LAPI agent, bouncers, collections, custom scenarios, and remediation pipeline with real configs.
A staged Vaultwarden setup with explicit HTTPS, signup and recovery boundaries.
A staged native Linux resolver workflow with explicit privacy limits, client tests, and rollback.
Configure Docker logging drivers, set up log rotation limits, and deploy a centralized log pipeline with Loki and Grafana Alloy. Practical configurations to prevent disk-full disasters and enable real-time container observability in your homelab.
Deploy Ollama and Open WebUI on your homelab hardware for private, self-hosted AI inference. Covers Docker Compose setup, GPU acceleration, model management, remote access, and production hardening tips.
Learn when to use Docker named volumes vs bind mounts for homelab containers. Covers volume drivers, NFS-backed storage, backup automation, and practical data persistence patterns for production-like Docker deployments.