Leaving Proxmox Community Scripts: Start Here

If your Proxmox services are working, you don't have to rebuild the whole homelab to move away from Community Scripts. Keep the current services online, learn how one of them is put together, reproduce it by hand or with your own automation, and migrate gradually. That deals with the problem you actually have, which is depending on infrastructure you don't understand.

A first-time Proxmox user can easily end up with a fairly important stack built from convenience scripts. Home Assistant runs in a VM. AdGuard Home, Tailscale, Paperless-ngx, Immich, Uptime Kuma, a document database, dashboards, and other daily services run in LXCs. Everything works, updates included. Then, after a year, an uncomfortable question comes up: if this broke, could you rebuild it without pressing the same install button again? Answering that teaches you a lot more than launching software does.

Do you actually need to leave Community Scripts?

No, but you do need to stop treating them as magic. Experienced users kept making the same point: Community Scripts are useful because they save time. Swapping every working service for a more complicated architecture just to prove you can isn't automatically an improvement. Using automation is fine; depending on it blindly is where the trouble starts.

Say a script creates a Debian LXC, adds a package repository, writes a configuration file, enables a service, and installs an update helper. None of those steps is mysterious, but a one-command installer hides all of them from a beginner.

So your first migration doesn't have to migrate anything. Pick one existing service and read how it was installed. Identify the OS packages, application files, data directories, service unit, ports, permissions, mounts, and update process, and write them down somewhere you control. Once you can explain how the service works, the Community Script already matters less.

That's a much safer start than replacing ten working services at once and finding out your new "clean" architecture has ten new ways to fail.

The Mr.PlanB Proxmox hub helps here because the guest type is only one layer. Storage, networking, backup, clustering, and guest configuration all affect how easy a service is to recover.

What is the simplest next step?

Build one plain Debian LXC yourself. People recommended this again and again because it removes the abstraction without changing the architecture. If most of your services already run well in LXCs, you don't need to bring in Docker, Podman, Kubernetes, Terraform, and a new storage model all at once.

Create a small Debian container in Proxmox and give it networking and storage. Install one simple service by hand and configure it. Back it up, break it, and restore it. You'll learn more from that than from replacing every LXC with a VM.

Proxmox describes its LXC guests as system containers. They use the host kernel instead of emulating a whole machine, which is why their runtime overhead is normally much lower than a full VM's. Proxmox also ties them into its storage, firewall, backup, and HA tooling.

The tradeoff is isolation, because containers share the host kernel. Proxmox restricts them with namespaces, AppArmor, seccomp, cgroups, and other controls, but its own documentation still says full virtual machines isolate more strongly.

That's a practical reason to mix technologies. An internal DNS service can make a good LXC. A workload you want better isolated can go in a VM. A service whose vendor supports a Docker Compose deployment may fit better in a Docker VM. Purity doesn't matter much here, while knowing why each workload lives where it does matters a lot.

Should Docker run inside an LXC or a VM?

For a clean Proxmox design, a dedicated VM is the easier recommendation to defend.

Proxmox explicitly separates system containers from application containers, and its current LXC documentation recommends running application containers such as Docker images inside a QEMU VM. That gives Docker its own kernel boundary and keeps VM features such as stronger host isolation.

The mental model gets simpler too. Proxmox manages the VM, and Debian or another Linux distribution runs inside it. Docker manages the application containers, and Compose describes how each application stack fits together.

Compose works especially well for services like Immich or Paperless-ngx, because the application definition sits in a readable YAML file describing services, networks, volumes, environment variables, and dependencies. You keep that file in version control instead of trying to remember a string of install commands.

Several homelab operators preferred one Docker VM for many services. Others split workloads across a handful of VMs, such as an always-on production VM, a test VM, Home Assistant, and a media VM. If RAM is tight, either pattern is easier to reason about than one VM per small service.

Be careful not to trade one black box for another. Pulling an unfamiliar container image still means trusting someone else's build process, so leaving Community Scripts just moves your supply-chain decisions somewhere else. The same rule applies: know what you're running, where the persistent data lives, and how to recover it.

Why does Ansible keep appearing as the next step?

Ansible turns "how do I install this?" into "can I describe this installation?"

Ansible playbooks are YAML automation definitions that apply tasks to managed systems, and the official documentation calls them automation blueprints for deploying and configuring nodes. After building one LXC by hand, they're the obvious next thing to learn. Suppose your manual process is:

1. Create a Debian guest.
2. Install five packages.
3. Add a repository.
4. Create a service account.
5. Write two configuration files.
6. Mount an NFS path.
7. Enable and start the application.

Doing that by hand once teaches you what the service needs. By the fifth time it's just repetition, and that's when Ansible pays off. The playbook becomes an executable description of the setup that you store in Git, review changes to, and rerun when you rebuild a guest.

I thought this was the most useful idea in the discussion, because you don't have to pick between a one-click community installer and doing everything by hand forever. You can understand your stack and automate it too.

Do you need Terraform too?

Probably not on day one. Some experienced users define guest infrastructure with Terraform or OpenTofu and then use Ansible to configure what runs inside. Infrastructure code might say an Immich VM needs a certain number of CPUs, a memory allocation, networking, and an NFS connection, while Ansible handles packages and application configuration. That's a sensible model once the environment grows.

It's also an easy way to turn a small homelab into a second job, by adding automation layers faster than you learn them. If you've never used Ansible, start there. Get one playbook working against one manually created LXC or VM, put it in Git, then delete the test guest and rebuild it. Once that feels boring, infrastructure provisioning is a reasonable next target.

Kubernetes is further off still. Several people in the discussion mentioned it as a possible later step, while others with professional Kubernetes experience said it's far more complicated than Docker Compose. With maybe twenty services in a homelab, every bit of added complexity should justify itself.

Can you migrate without rebuilding everything?

Yes, and this is probably the most important practical point. A working service doesn't have to move just because you've settled on a better future architecture.

Migrate one service at a time. Start with something disposable or easy to restore, not Immich and not the DNS your household depends on. Build the replacement next to the existing service, restore or copy its configuration and data, and test networking, storage, updates, monitoring, and backups. Then switch traffic over, and keep the old instance around long enough to prove the new one works.

This is also a good moment to separate application state from the guest. If a service keeps important data on a NAS, document exactly how the share is mounted and which UID, GID, permissions, and network dependencies it needs. Storage integration is often harder to recover than the application package.

One commenter described a simple Docker VM setup that mounts NFS shares from a NAS and bind-mounts that storage into Docker volumes. Another included the NFS shares in their infrastructure definitions as part of the guest configuration. Which method you use matters less than being able to repeat it. If rebuilding a service depends on remembering a mount command you typed eighteen months ago, it still depends on your memory.

How should updates work after the scripts are gone?

Don't swap one update button for twenty manual checklists. Native LXCs can keep using the guest OS's normal package manager, and application updates can follow the vendor's supported method. For containerized applications, pin image versions in Compose and change them on purpose.

Ansible can handle repeated OS and configuration tasks across many guests, but automatic updates still need judgment, and updating everything the moment a release lands isn't good maintenance. A more controlled approach: keep versions visible, update a test workload first when you can, read the release notes for important applications, then roll out the change through the same automation that built the service.

What you gain is a single documented lifecycle covering installation and maintenance. If you can only rebuild a service with an installer script and only update it with a separate custom helper, you have two systems to understand. When your playbook or Compose file describes the running state, that gap gets much smaller.

Will moving everything to VMs waste too much RAM?

VMs use more resources than equivalent LXCs, but whether that matters depends on your server and workload.

Proxmox describes containers as a lightweight alternative to full virtual machines because they share the host kernel. A VM has its own guest kernel and virtualized hardware, so it carries more overhead. That overhead doesn't make VMs inefficient, so use their isolation where it's worth having.

One reasonable pattern from the discussion was stronger isolation for public-facing services and unprivileged LXCs for trusted internal ones. Another was a single dedicated Docker VM holding many application containers. Both avoid giving every tiny utility its own full VM.

If you're unsure, test it. Build one Debian VM and one Debian LXC running the same simple workload, and measure idle memory, storage footprint, backup size, startup behavior, and maintenance effort on your own hardware. That will tell you more than any abstract containers-versus-VMs debate.

If you're still building out the base platform, read the Proxmox installation guide before adding more automation layers.

Aim to be able to rebuild what matters

Leaving Proxmox Community Scripts is really about removing unknowns, and getting rid of the scripts is secondary.

Keep the services that work and learn how one of them runs. Build a clean replacement for that one service, put its configuration in Git, automate the repetitive parts, and verify the backups. Then do the next one.

You may end up with manually managed LXCs, a Docker VM, Ansible playbooks, and a few Community Scripts still doing jobs you have no reason to reinvent. That's a perfectly good place to stop, as long as you understand how all of it works.