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Docker & Kubernetes at Home: A Modern Guide to Self-Hosted Homelabs with Plex, Pi-hole & More
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Publisher: Independently Published
Published: Sep 7 2025
Pages: 298
Weight: 1.53
Height: 0.62 Width: 8.50 Depth: 11.00
Language: English
Docker & Kubernetes at Home: A Modern Guide to Self-Hosted Homelabs with Plex, Pi-hole & More
Turn your home network into a private cloud you control. This hands-on, project-driven guide walks you from zero to a resilient, production-style homelab-first with Docker/Compose, then scaling to Kubernetes (K3s/MicroK8s)-so you can stream your media, block ads network-wide, automate your home, protect remote access, back up everything, and even run local AI on your own hardware.
No fluff. No enterprise detours. Just clean flowcharts, professional tables, and copy-ready configurations that work.
What you'll build (step-by-step labs)
- Media & Storage: Plex/Jellyfin, Immich photo hub, TrueNAS integration with NFS/iSCSI & Kubernetes PVCs
- Network & Smart Home: Home Assistant, Pi-hole/AdGuard, Nginx Proxy Manager or Traefik with clean HTTPS URLs
- Secure Remote Access: pfSense with WireGuard/OpenVPN-VPN-first exposure patterns that keep admin UIs private
- Observability: Prometheus + Grafana dashboards, Loki centralized logs, alerting you can trust
- Backups & DR: Velero + Longhorn snapshots/backups, restore simulations that prove your strategy works
- Local AI at Home: Ollama & LM Studio on Kubernetes, Stable Diffusion with GPU passthrough, NVIDIA Operator scheduling
What you'll learn (and actually use)
- Docker fundamentals done right: images, containers, volumes, networks, and Compose v2 multi-app stacks
- Kubernetes without the enterprise bloat: K3s/MicroK8s, multi-node clustering, Ingress, Services, PVCs, Helm
- Storage that doesn't lose data: NFS/iSCSI with TrueNAS, Longhorn replication, snapshot/backup flows that hold up under failure
- Networking that scales safely: reverse proxies (Traefik/NPM), TLS, DNS, VPN patterns, and service exposure decision trees
- Monitoring & logging you'll actually check: Prometheus, Grafana, and Loki-signal over noise
- AI at the edge: model persistence on PVCs, GPU-aware scheduling, and practical pipelines for LLMs & generative image workloads
- GitOps-friendly ops: ArgoCD basics, clean namespaces, repeatable manifests, and upgrade playbooks
- Fix it fast: battle-tested troubleshooting cheatsheets for Docker, Kubernetes, DNS/firewalls, PVCs, and CrashLoopBackOffs
Who this book is for
- Self-hosters ready to move from one-off containers to reliable, monitored services
- Developers & tinkerers who want a home lab that feels like a small production cluster
- Privacy-minded builders who prefer keeping media, photos, and AI workloads on-prem, not in the cloud
- Beginner → intermediate readers who learn best by doing, with clear flowcharts, tables, and copy-ready configs
If you've been piecing together tutorials and wish your homelab felt coherent, resilient, and upgrade-safe, this is your playbook. Build services you're proud to rely on-then scale them with confidence.
Own your cloud. Secure your data. Run modern apps (and AI) at home.
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