MicroCloud for Homelabs Without the Usual Cloud Headache

Canonical is pushing something that really stands out for homelab folks who want more than a single box, but do not want to sign up for the full complexity that usually comes with cloud platforms. That project is MicroCloud.

The big idea here is pretty simple. MicroCloud aims to give you a lightweight cloud experience on Ubuntu that can run in a homelab, while still covering the stuff people actually care about: clustering nodes, launching containers, launching virtual machines, handling storage, dealing with networking, and moving workloads around when needed.

That makes it especially interesting if you have looked at OpenStack and thought, "This is way too much for my lab," or looked at Kubernetes and thought, "I do not need to turn everything into a platform engineering project just to run some services at home."

Why MicroCloud stands out

The video frames MicroCloud as a possible answer for a common homelab problem. A lot of us eventually outgrow the single-server setup. We want multiple nodes. We want some level of orchestration. We want to run both containers and VMs. We want storage that is not bolted on as an afterthought. We also want the option to move workloads between machines.

Normally, once you start wanting all of that, the stack gets heavy fast.

OpenStack has a reputation for being powerful, but also for being a lot to deploy, learn, and maintain. Kubernetes is everywhere, but that does not automatically make it the best fit for every homelab, especially if your goal is simply to run mixed workloads cleanly without managing a giant control plane mindset.

MicroCloud is presented here as the lighter path. Not toy-level and not stripped down to the point of being useless, but focused enough to fit the homelab space.

What the setup in the video focuses on

The walkthrough covers a full homelab-style flow rather than just showing a flashy demo. The main pieces highlighted are:

• Installing MicroCloud on nodes
• Initializing a cluster
• Adding members to that cluster
• Checking status and services
• Working with storage pools
• Looking at networking defaults
• Launching a first container
• Creating and accessing a VM
• Migrating workloads across nodes
• Using snapshots and restore

That combination matters because it shows MicroCloud as more than just a package you install. The focus is on how it behaves as a real platform once you actually start using it.

Installing on multiple nodes

The first practical step is getting MicroCloud installed on the lab nodes. The video specifically calls out a lab setup and install phase across nodes, which tells you right away this is not just about standing up one machine and calling it done.

The point of MicroCloud here is clustering. So even at the installation stage, the mindset is different from a typical single-host hypervisor or container host. You are preparing multiple systems to participate in the same environment.

If you are following this kind of build in your own lab, one thing to keep in mind is that the install is only the beginning. The real value comes when the nodes are brought together properly and the services are aligned across the cluster.

Initializing the cluster and adding members

The next major step is cluster initialization and member enrollment. This is where MicroCloud starts to feel like infrastructure instead of just software.

The video spends time on initializing the cluster and adding members, which is important because cluster formation is the foundation for everything that follows. Containers, VMs, storage behavior, and migration all depend on having the nodes participating correctly.

This is also one of those stages where it is easy to rush if you are excited to get to the fun part. That would be a mistake.

Gotcha to avoid

Do not skip verifying the cluster state after adding members.

The walkthrough explicitly includes a status and services section after initialization, and that is a strong hint that checking health is part of the process, not optional cleanup. If you jump straight into creating storage or launching workloads before confirming the cluster and its services are where they should be, you are setting yourself up for confusing problems later.

Checking status and understanding the service layer

A really useful part of the video is the status and services section, including a note around MicroCeph and MicroOVN.

That tells us two important things.

First, MicroCloud is not operating in isolation. There is a broader service story around storage and networking.

Second, the health and role of those services matter enough to be called out directly. In a homelab, it is easy to treat infrastructure services as background noise until something breaks. But if your storage layer or networking layer is not behaving as expected, that can impact everything you run on top.

The mention of MicroCeph points toward the storage side of the stack. The mention of MicroOVN points toward the networking side. The video does not need to oversell that. Just knowing those pieces are in the conversation helps explain why MicroCloud feels more cloud-like than a standalone VM host.

Storage pools, staging, and committing changes

The storage section is one of the more practical parts of the flow because it highlights something people often overlook when they are first building out clustered infrastructure: storage choices and defaults matter a lot.

The walkthrough covers a storage pool workflow that includes stage and commit, along with a default profile.

Even with limited detail, the key takeaway is clear. Storage configuration is not treated like an incidental setting. It is part of the cluster design, and it is important enough to have a staged workflow before committing changes.

That is actually a good sign for a platform like this. It suggests some separation between planning the configuration and finalizing it.

For homelab users, that is helpful because storage mistakes can be painful. A rushed default can turn into a long-term annoyance if every workload inherits it.

The default profile mention is also worth paying attention to. Defaults tend to spread everywhere. If your default profile is not aligned with how you want to deploy workloads, you will keep tripping over that later.

Networking defaults and lxdfan0

Networking is another area where the video keeps things grounded in the real setup. There is a dedicated section for networking defaults, and lxdfan0 is specifically mentioned.

Even without deeper transcript detail, the message is straightforward: networking is not invisible, and defaults are part of the operational experience.

That is especially true in a homelab. A lot of problems that look like app issues or VM issues end up being network assumptions. If there is a default network behavior in your environment, you need to understand it before you start piling services on top.

So when the video pauses to call out networking defaults, that is a reminder not to treat the network layer like a black box.

Launching the first container

Once the cluster, storage, and networking pieces are in place, the video moves into launching a first container, named c1, and inspecting it.

This is a good checkpoint because it proves the platform is not just technically installed, but actually usable.

Launching a first container is usually where a homelab build starts to feel real. You are no longer reading status output or configuring backend pieces. You are actually running something on the platform and validating the result.

The inspection step matters too. Spinning up a workload is one thing. Looking at what got created, where it landed, and how it is configured is where you start building trust in the system.

Creating and accessing a VM

The video does not stop at containers. It also covers creating and accessing a virtual machine, including cloud-init and console access.

That is a big part of why MicroCloud is interesting for homelabs. A lot of home environments are mixed environments. Some workloads fit nicely in containers. Others still need full VM isolation, traditional OS behavior, or just a more familiar deployment path.

Being able to handle both in the same platform is a strong use case.

The mention of cloud-init is also notable because it suggests the VM workflow is not just "click create and hope for the best." It points toward a more reproducible and automation-friendly deployment style, which is exactly what many of us want once our lab starts growing beyond one-off experiments.

Console access rounds that out nicely because it gives you a way to directly interact with the VM when needed.

Moving workloads across nodes

For me, this is one of the most compelling parts of the whole setup.

The video covers migrating workloads across nodes, plus snapshots and restore. That shifts the conversation from basic virtualization into actual platform capability.

A lot of people can run a container. A lot of people can launch a VM. The real quality-of-life improvement shows up when you can move those workloads around the cluster and recover them when needed.

In a homelab, that means flexibility. Maybe you want to rebalance resources. Maybe you need to take a node down. Maybe you are testing failure scenarios. Maybe you just want to prove your environment is not tied to one machine.

Snapshots and restore also make the platform more practical for real experimentation. If you are trying new configs or making bigger changes, having recovery options is a huge deal.

The bigger appeal for homelab users

What makes this MicroCloud walkthrough interesting is not one single feature. It is the package.

You have a cluster-oriented Ubuntu-based setup that is shown handling:

• Multi-node infrastructure
• Containers
• Virtual machines
• Storage integration
• Networking defaults
• Workload migration
• Snapshot and restore workflows

That is a lot of useful capability for a homelab, especially if your alternatives feel either too heavyweight or too fragmented.

The video clearly positions MicroCloud as a serious option for people who want cloud-like behavior without taking on the full burden of platforms that can be overkill at home.

Final thoughts

MicroCloud looks promising because it aims at a very real gap. There are plenty of homelab users who want more than a single Docker host or a lone hypervisor, but who do not want to live inside the operational complexity of bigger cloud stacks.

Based on what is covered here, MicroCloud brings together the pieces that matter most: cluster setup, workload deployment, storage and networking awareness, and the ability to move and recover workloads.

That does not magically make architecture decisions disappear, and it definitely does not mean you should ignore status checks, storage defaults, or networking assumptions. But it does make the platform worth serious attention if you are building out a more capable Ubuntu-based lab.

If you want a cloud-style homelab setup without immediately diving into the deep end, this is the kind of project to keep on your radar.

Catch you in the next one.