These 3 Docker containers turn my homelab into the ultimate network diagnostics tool


Early on, when I had just started getting into homelabbing and self-hosting, my initial assumption was that once I configured a service properly, and got it up and running, it would just stay that way indefinitely. As I set up more and more services, my mini homelab grew to include a couple of servers and VPS instances. It started getting out of hand a bit. I started experiencing my first service outages. Apparently, a homelab requires maintenance.

I spent a lot of time setting up things like reverse proxies, cron jobs, custom scripts, web servers, and VPS firewall configurations. Even after all that work, days or weeks later, some of those services would just randomly go down. By then, I had completely forgotten how I set stuff up in the first place, and it was just a whole mess. So I started using some Docker services to monitor my little homelab network and diagnose things.

Uptime Kuma

Monitor the uptime and get notified when stuff break

You might have come across those status trackers online which tell you when a site is down. They usually have some kind of visual indicators or dynamic graphs to track a site’s uptime and outages. Uptime Kuma does the same thing, except you can point at your self-hosted services.

An Asustor NAS with one hard drive pulled partially out of the bay.


3 Self-Hosted Services I’m Running in My Homelab and Use Every Day

Plus, which ones I’m looking to try next.

To set up Uptime Kuma, you create what’s called a “monitor” for a service and the monitor shows you stats like current and average response times, as well as uptime percentages. When setting up the monitor, you point it at the URL you use to access the service and set a “heartbeat” timer. Uptime Kuma periodically pings the URL address and logs the time-stamped results. By default, that heartbeat interval is 60 seconds, but you can set it to whatever you want.

It shows those logs as green uptime and red downtime indicators. You can also see the same logs in greater detail as interactive graphs.

If you give Uptime Kuma a try, you should also set up notification alerts. Basically, if any of the services being monitored go down, Uptime Kuma will send you an alert. You can choose from a whole list of notification providers, including Discord, Telegram, Email, Signal, and Ntfy. I already use Ntfy to push notifications to my phone, so I use Ntfy alerts for Uptime Kuma too.

The idea is that the time-stamped logs, the response time stats, and SSL expiration help you rule out the usual suspects when you inevitably hit that “Problem loading page” error.

Netshoot

All the tools you need for network diagnostics in one container

When a service goes down or misbehaves, the next step is to figure out what’s wrong.

You might have noticed that a typical Docker compose file has a “network” flag. It defines a virtual network for that container. Docker containers usually don’t use the host network directly. So if you want to figure out what’s wrong with that virtual network, you can’t do so directly from the host. That’s what Netshoot is for.

You can list virtual Docker networks with this command.

docker network ls

You can run Netshoot as a temporary Docker container that lets you interact with any of the Docker networks on your list. Substitute bridge with your target network. The --rm -it flags tell Docker to remove this container when you exit it and give you an interactive shell.

docker run --rm -it --network bridge nicolaka/netshoot

To target a particular container, run this command.

docker run --rm -it --network container: nicolaka/netshoot
Netshoot gives me a shell to interact with one of my Docker virtual networks.

It should open an interactive Netshoot shell, which gives you access to 70+ networking tools. Some of them include basic networking commands like ping, curl, nmap, traceroute, netstat, tcpdump, iperf3. For example, ping can test if a host is reachable. With netstat, you can find if a port is already occupied. This has happened to me more than once. Since I’m running multiple web servers and Docker containers on my VPS instances, port conflicts are a recurring headache.

OpenSpeedTest

Speed tests for your homelab

Usually when you run an internet speed test on a website like Ookla, it tests your internet connection with an Ookla server. However, if you want to test the connection between a client (like your phone or laptop) and your home server, you’ll want to run a speed test that targets that network. That’s exactly what OpenSpeedTest does. It lets you test connection speeds of different nodes on your homelab network.

Running a speed test using OpenSpeedTest.

You can spin up a Docker container for OpenSpeedTest. By default, it maps to port 3001 for HTTPS, which should work fine for most people. However, Uptime Kuma also defaults to that port, so watch out for that if you have Uptime Kuma running already.

The web UI looks the same as any regular internet speed test. It checks the upload and download speeds in megabits, as well as the latency and jitter (how stable or consistent the connection is).

raspberry pi 5-1

Brand

Raspberry Pi

Storage

8GB

CPU

Cortex A7

Memory

8GB



These Docker containers make diagnostics a little bit more manageable

As opposed to installing diagnostics tools on bare metal, it’s better to spin up these containers in a homelab environment because they can be completely wiped off the server once you’re done. I’d recommend keeping Uptime Kuma though, if your server can spare the resources.



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Recent Reviews


As I’m writing this, NVIDIA is the largest company in the world, with a market cap exceeding $4 trillion. Team Green is now the leader among the Magnificent Seven of the tech world, having surpassed them all in just a few short years.

The company has managed to reach these incredible heights with smart planning and by making the right moves for decades, the latest being the decision to sell shovels during the AI gold rush. Considering the current hardware landscape, there’s simply no reason for NVIDIA to rush a new gaming GPU generation for at least a few years. Here’s why.

Scarcity has become the new normal

Not even Nvidia is powerful enough to overcome market constraints

Global memory shortages have been a reality since late 2025, and they aren’t just affecting RAM and storage manufacturers. Rather, this impacts every company making any product that contains memory or storage—including graphics cards.

Since NVIDIA sells GPU and memory bundles to its partners, which they then solder onto PCBs and add cooling to create full-blown graphics cards, this means that NVIDIA doesn’t just have to battle other tech giants to secure a chunk of TSMC’s limited production capacity to produce its GPU chips. It also has to procure massive amounts of GPU memory, which has never been harder or more expensive to obtain.

While a company as large as NVIDIA certainly has long-term contracts that guarantee stable memory prices, those contracts aren’t going to last forever. The company has likely had to sign new ones, considering the GPU price surge that began at the beginning of 2026, with gaming graphics cards still being overpriced.

With GPU memory costing more than ever, NVIDIA has little reason to rush a new gaming GPU generation, because its gaming earnings are just a drop in the bucket compared to its total earnings.

NVIDIA is an AI company now

Gaming GPUs are taking a back seat

A graph showing NVIDIA revenue breakdown in the last few years. Credit: appeconomyinsights.com

NVIDIA’s gaming division had been its golden goose for decades, but come 2022, the company’s data center and AI division’s revenue started to balloon dramatically. By the beginning of fiscal year 2023, data center and AI revenue had surpassed that of the gaming division.

In fiscal year 2026 (which began on July 1, 2025, and ends on June 30, 2026), NVIDIA’s gaming revenue has contributed less than 8% of the company’s total earnings so far. On the other hand, the data center division has made almost 90% of NVIDIA’s total revenue in fiscal year 2026. What I’m trying to say is that NVIDIA is no longer a gaming company—it’s all about AI now.

Considering that we’re in the middle of the biggest memory shortage in history, and that its AI GPUs rake in almost ten times the revenue of gaming GPUs, there’s little reason for NVIDIA to funnel exorbitantly priced memory toward gaming GPUs. It’s much more profitable to put every memory chip they can get their hands on into AI GPU racks and continue receiving mountains of cash by selling them to AI behemoths.

The RTX 50 Super GPUs might never get released

A sign of times to come

NVIDIA’s RTX 50 Super series was supposed to increase memory capacity of its most popular gaming GPUs. The 16GB RTX 5080 was to be superseded by a 24GB RTX 5080 Super; the same fate would await the 16GB RTX 5070 Ti, while the 18GB RTX 5070 Super was to replace its 12GB non-Super sibling. But according to recent reports, NVIDIA has put it on ice.

The RTX 50 Super launch had been slated for this year’s CES in January, but after missing the show, it now looks like NVIDIA has delayed the lineup indefinitely. According to a recent report, NVIDIA doesn’t plan to launch a single new gaming GPU in 2026. Worse still, the RTX 60 series, which had been expected to debut sometime in 2027, has also been delayed.

A report by The Information (via Tom’s Hardware) states that NVIDIA had finalized the design and specs of its RTX 50 Super refresh, but the RAM-pocalypse threw a wrench into the works, forcing the company to “deprioritize RTX 50 Super production.” In other words, it’s exactly what I said a few paragraphs ago: selling enterprise GPU racks to AI companies is far more lucrative than selling comparatively cheaper GPUs to gamers, especially now that memory prices have been skyrocketing.

Before putting the RTX 50 series on ice, NVIDIA had already slashed its gaming GPU supply by about a fifth and started prioritizing models with less VRAM, like the 8GB versions of the RTX 5060 and RTX 5060 Ti, so this news isn’t that surprising.

So when can we expect RTX 60 GPUs?

Late 2028-ish?

A GPU with a pile of money around it. Credit: Lucas Gouveia / How-To Geek

The good news is that the RTX 60 series is definitely in the pipeline, and we will see it sooner or later. The bad news is that its release date is up in the air, and it’s best not to even think about pricing. The word on the street around CES 2026 was that NVIDIA would release the RTX 60 series in mid-2027, give or take a few months. But as of this writing, it’s increasingly likely we won’t see RTX 60 GPUs until 2028.

If you’ve been following the discussion around memory shortages, this won’t be surprising. In late 2025, the prognosis was that we wouldn’t see the end of the RAM-pocalypse until 2027, maybe 2028. But a recent statement by SK Hynix chairman (the company is one of the world’s three largest memory manufacturers) warns that the global memory shortage may last well into 2030.

If that turns out to be true, and if the global AI data center boom doesn’t slow down in the next few years, I wouldn’t be surprised if NVIDIA delays the RTX 60 GPUs as long as possible. There’s a good chance we won’t see them until the second half of 2028, and I wouldn’t be surprised if they miss that window as well if memory supply doesn’t recover by then. Data center GPUs are simply too profitable for NVIDIA to reserve a meaningful portion of memory for gaming graphics cards as long as shortages persist.


At least current-gen gaming GPUs are still a great option for any PC gamer

If there is a silver lining here, it is that current-gen gaming GPUs (NVIDIA RTX 50 and AMD Radeon RX 90) are still more than powerful enough for any current AAA title. Considering that Sony is reportedly delaying the PlayStation 6 and that global PC shipments are projected to see a sharp, double-digit decline in 2026, game developers have little incentive to push requirements beyond what current hardware can handle.

DLSS 5, on the other hand, may be the future of gaming, but no one likes it, and it will take a few years (and likely the arrival of the RTX 60 lineup) for it to mature and become usable on anything that’s not a heckin’ RTX 5090.

If you’re open to buying used GPUs, even last-gen gaming graphics cards offer tons of performance and are able to rein in any AAA game you throw at them. While we likely won’t get a new gaming GPU from NVIDIA for at least a few years, at least the ones we’ve got are great today and will continue to chew through any game for the foreseeable future.



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