The biggest hurdle would be cracking the hardware/secure-boot. I don’t think it’s been done. Google is your friend.

My impression is that you are coming in completely fresh on all of this and you were expecting everyone else to look at your project and tell you what needs to happen to fix it. That is not learning, that is other people telling you what to do. Nor the realities of the internet. We aren’t your teachers and what you need is instruction. Not minor feedback, not suggestions, actual instruction. I have a few suggestions if you are actually serious:

1. Find a free python course and actually take it. Learn the basics of programming. You cannot judge the code the AI produces if you don’t even understand the basics.
2. Next, read the book The Clean Coder by Robert Cecil Martin. There you will actually learn the techniques for good professional coding.
3. After that read, Making Things Happen by Scott Berkun. I’ve done a few private personal Claude projects and I run them like a combo Project Manager/Engineering Manager/Staff Engineer.

There are entire college degrees on these topics. And I’m not saying you have to go to college. But, If you’re not even willing to read a couple books, then you don’t really want to learn.

An issue with your statement “know what you’re doing by doing it” is that without an actually educated teacher to provide trustworthy feedback, you are going to struggle the learn from your mistakes. The LLMs can only provide so much, and they will lie out their ass to you. Unless explicitly prompted to provide critical feedback, they will find any way to provide positive feedback even to your actual detriment. They will happily skirt their sandboxes, and fight your every attempt to make them actually safe.

At a quick glance, nothing in the project indicates that you are not an expert and that an AI Agent provided the code. The quality of the code is also quite poor, even by Claude standards. I’m actually kinda mind blown you got it to built this without any tests… Something we’ve recently been talking about at my job in terms of AI agents is “cognitive debt” that is incurred in the project. LLMs are fundamentally a statistical next-word generator. If they are given something of poor quality, they will tend to produce more and more poor quality work. And without intervention, it just snowballs.

I’ll never tell someone to stop trying to learn. But, your hubris is going to negatively impact your learning outcomes. And to be clear, YOU are not writing the code and the code is what runs on the server and people interact with. What you are doing is using an AI Agent. If you want to get feedback on that, then be honest about it.

EDIT: removing this comment because I don’t think you will use this feedback responsibly

I’m sure that’s totally going to help OCI’s reliability. And Ashburn won’t die for 3 straight days again, like it did this week.

If the container you’re hosting has a http web service on say port 8080, then you’d want to curl something at http://localhost:8080/. The particular URL/path you hit will depend on the app. If the app is particularly cloud-y, it might even have a specific endpoint for health checking by a container platform. If you share the name of the app I might be able to point you in the right direction.

Wat? Why are people health checking their containers by curl’ing example.com and not the service actually running in the container? Did they not understand that they’re supposed to change the curl URL to point at their actual service?

This is such a dumb concept and likely exists entirely to wow investors. A single AI server with 8 GPUs produces something like 7000 watts of heat, if not more. And likewise, will require at least that much power. Sure, solar is “free” once you’ve got the panels in space. The real killer though is dissipating all that heat. Obviously, there’s no atmosphere in space to transfer heat to. Your only option is purely IR radiation which is significantly less efficient. To put this in context, the ISS’s heat dissipation system can dissipate about 14,000 watts. Ignoring all of the other infra that goes into a data-center, that would be two servers. You add all this up, the mass of the supporting infrastructure would far out-weigh the actual servers. And the economies of satellites and rocket launches comes down to mass.

Why are AI agents on the org chart? That’s odd and sketchy. Seems like it could be some sort of fraud to pad numbers.

You’re going to a lot of effort to not actually mention what this thing is, which makes me wonder what it is and I suspect knowing that would provide additional and useful context.

I work at an Infrastructure Cloud company. I design and implement API and Database schemas, I plan out backend workflows and then implement the code to perform the incremental steps of each workflow. That’s lots of code, and a little openapi and other documentation. I dig into bugs or other incidents. That’s spent deep in Linux and Kubernetes environments. I hopefully build monitors or dashboards for better visibility into issues. That’s spent clicking around observability tooling, and then exporting things I want to keep into our gitops repo. Occasionally, I’ll update our internal WebUI for a new feature that needs to be exposed to internal users. That’s react and CSS coding. Our external facing UI and API is handled by a dedicated team.

When it comes to learning, Id say find a problem you have and try to build something to improve that problem. Building a home lab is a great way to give yourself lots of problems. Ultimately, it’s about being goal oriented in a way where your goal isn’t just “finish this class”.

This is because there isn’t a job shortage. It’s offshoring. The company I (thankfully willingly) left 2 years ago has shifted all of their software hiring to Europe. And since I left has had multiple US focused layoffs. All while the Euro listings keep popping up. And I get it, the cost of living is much lower and the skill set is equivalent. So yea, get your bank. But, this is companies exploiting Europe/Asia, rather than it being something Europe/Asia is immune to.

Yea, it’s the combo of the chiller and cooling tower is analogous to a swamp cooler. The cooling tower provides the evaporative cooling. The difference is that rather than directly cooling the environment around the cooling tower, the chiller allows indirect cooling of the DC via heat exchange. And isolated chiller providing heat exchange is why humidity inside the DC isn’t impacted by the evaporative cooling. And sure, humidity is different between hot and cold isles. That is just a function of temperature and relative humidity. But, no moisture is exchanged into the DC to cool the DC.

Edit: Turns out I’m a bit misinformed. Apparently in dry environments that can deal with the added moisture, DCs are built that indeed use simple direct evaporative cooling.

Practically all even semi-modern DCs are built for servers themselves to be air cooled. The air itself is cooled via a heat exchanger with a separate and isolated chiller and cooling tower. The isolated chiller is essentially the swamp cooler, but it’s isolated from the servers.

There are cases where servers are directly liquid cooled, but it’s mostly just the recent Nvidia GPUs and niche things like high-frequency-trading and crypto ASICs.

All this said… For the longest time I water cooled my home lab’s compute server because I thought it was necessary to reduce noise. But, with proper airflow and a good tower cooler, you can get basically just as quiet. All without the maintenance and risk of water, pumps, tubing, etc.

I’d take a look at packer and ansible. Packer can be used to prepare a new base image for your VMs. And ansible can be used to automate the provisioning of a VM once it’s booted.

Slightly educated guess. True organic cork is produced by cutting the bark off specific trees. There are limited climates it grows. I would guess the scale with which we produce bottled drinks would require significantly more trees and labor that we currently have. And thus cork prices would skyrocket.

If you’re considering video transcoding, I’d give Intel a look. Quicksync is pretty well supported across all of the media platforms. I do think Jellyfin is on a much more modern ffmpeg than Plex, and it actually supports AMD. But, I don’t have any experience with that… Only Nvidia and Intel. You really don’t need a powerful CPU either. I’ve got my Plex server on a little i5 NUC, and it can do 4k transcodes no problem.

You really don’t need an AIO with a 5600X. Just grab a reasonably sized tower cooler and call it a day. There’s less to fail, and less risk of water damage if it fails catastrophically. I’ve found thermalright to be exceptionally good for how well priced they are. Not as quiet as Noctua, but damn near the same cooling performance.

Another thing to consider is that a 5600X doesn’t have built in graphics. I think you’d need to jump up to AM5/7600X for that.

A coworker of mine built an LLM powered FUSE filesystem as a very tongue-in-check response to the concept of letting AI do everything. It let the LLM generate responses to listing files in directories and reading contents of the files.

Honestly, I don’t mind them adding ads. They’ve got a business to support. But, calling them “quests” and treating them as “rewards” for their users is just so tone-deaf and disingenuous. Likewise, if I’ve boosted even a single server, I shouldn’t see this crap anywhere, let alone on the server I’ve boosted.