I built my homelab like a real datacenter—here's what actually matters

Once, my homelab was a simple setup. I had an old PC stuffed into a corner of my basement with a few Raspberry Pis haphazardly scattered on the top of the case. However, as my setup has grown in usefulness and complexity, I had to seriously reevaluate how everything was configured so that it was consistently useful.

In many ways, my homelab is now a bit like my own tiny data center, complete with redundancies, a generous amount of cloud storage, AI capabilities, and services.

There were a ton of things I changed about my setup, but these are the five big upgrades that I'd recommend to everyone today.

Speedy, reliable networking is critical

Everything else depends on the connections between machines

Regardless of what you're doing with your homelab, you need to have a reliable home network. Even low-bandwidth services, like a Pi-hole, don't work well if your connection is spotty.

When you start adding servers and high-capacity storage, the bandwidth limitations of old Ethernet cable and cheap switches don't cut it either. File transfers, VM traffic, and AI workloads will bottleneck on a slow network long before you run into other limitations.

Luckily, this all had a pretty straightforward solution. I installed smurf tube (a type of flexible corrugated plastic tube, properly called ENT) and ran Cat6a to every important location in my home. I also left a pull line in place to make future upgrades easier. Eventually, once the Cat6a becomes a bottleneck, I'll just pull a few extra fiber lines through the smurf tube, and I'll have the network infrastructure in place to support 100 gigabit network speeds.

A few GPUs for real compute

Local horsepower for AI and simulations

Rather than using a GPU for gaming, I dedicated one in a server specifically for specific applications. It provides me local horsepower for AI workloads, media transcoding, rendering, and physical simulations. By running it locally, I can be sure that none of my data will leak onto the web, and it gives me a chance to experiment with dozens of different services that would be costly to implement otherwise.

For example, I've built a Discord bot that can leverage the GPU for real-time natural language processing that allows it to respond to voice commands, generate images and audio, and more, and then respond using speech synthesis.

Eventually, I'll add a second GPU so that it can load even more AI models simultaneously, so anyone in Discord will be able to talk to an LLM running on the second GPU while the primary GPU handles the basic voice commands.

Lots of storage with the right format

Capacity with redundancy is essential

Having a ton of storage is nice, but that storage only means something if it is appropriately configured for redundancy.

Instead of randomly throwing drives into a PC, I'd recommend combining them into a pool using ZFS. It cuts your total capacity, since some is used for parity, but it guarantees that your data will survive the loss of a single drive.

If you are hosting media libraries, backups, a photo library with Immich, or VM images that you cannot afford to lose, that kind of redundant pooled storage is the only way to go.

Redundant services so nothing goes down

Don't let one outage bring down your whole network

In a real data center, no single failure should take down the whole system (though it has been known to happen).

When I was setting up my homelab, I kept the same principle in mind. My home network has two Pi-holes and two WireGuard servers running on it. It seems excessive, but consider what happens if something were to break.

When your DNS is a single point of failure, a serious bug can take out the entire household's internet access. A second Pi-hole instance (on battery backup) goes a long way to mitigating that risk.

The WireGuard server is the primary way that I connect to my home network from the outside . I use my homelab every single day for both work and personal reasons. Losing access when I'm away would be inconvenient at best and potentially a serious problem at worst.

Luckily, the redundant backups easily run on Pi Zero 2 Ws, which are still relatively inexpensive and tiny. It takes a bit of work to configure, but I don't worry at all about outages.

Monitoring and automation to keep everything running smoothly

Automated restarts and uptime monitoring are vital

Your homelab is only as useful as it is reliable, and to address both of those concerns, I set up three things:

• Monitoring dashboards

• Automated restart scripts wherever possible

• Automatic alerts when something is offline

The combination of the three allows me to keep a close on my services and ensure that they're active. Automated restart scripts—which are trivial with systemd on Linux—ensure that a crash or power outage doesn't leave a service offline until I tend to it manually. Everything will just turn itself back on as soon as it can.

In the rare scenarios where something does crash and the automated restart cannot revive the service in a timely fashion, I get a ping that tells me which service is down.

It is a bit like autonomous digital triage—it can fix itself and only starts complaining when something is really broken.

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Take your homelab one step at a time

Setting up a homelab is an incremental process, and it is important to have a general idea of what you want to do and how it should work before you spend any significant amount of money.

If you're wondering where to start, I suggest focusing on networking and storage first. Then, once you're ready to start rolling out services, layer on whatever redundancy will be necessary to ensure nothing crashes, or if it does, that you're aware of it.

After all, a ton of GPU compute, AI capabilities, and a dozen self-hosted services mean very little if they're not reliable.