Sure, but I wanted to ask fellow Linux users

Sounds like a question to ask the project directly, via their contact on the site: garagehq@deuxfleurs.fr

One sentence answer: “Object storage manages data as discrete units called objects with unique identifiers and metadata, while file storage organizes data in a hierarchical structure of files and folders.”

fwiw, I see object storage used as a way to manage data regardless of the file system. It is designed to scale, as opposed to the file system, in large cloud environments.

Here is a recap from Google Cloud:

Object storage, also known as object-based storage, is a computer data storage architecture designed to handle large amounts of unstructured data. Unlike other architectures, it designates data as distinct units, bundled with metadata and a unique identifier that can be used to locate and access each data unit.

These units—or objects—can be stored on-premises, but are typically stored in the cloud, making them easily accessible from anywhere. Due to object storage’s scale-out capabilities, there are few limits to its scalability, and it’s less costly to store large data volumes than other options, such as block storage.

Much of today’s data is unstructured: email, media and audio files, web pages, sensor data, and other types of digital content that do not fit easily into traditional databases. As a result, finding efficient and affordable ways to store and manage it has become problematic. Increasingly, object storage has become the preferred method for storing static content, data arches, and backups.

Minio has worked well for many years. Haven’t had any problems with it until now, but ready to migrate away.

If you want it as an article, here are the detailed show notes: https://discuss.james.network/public/d/48-episode-8-shownotes-self-hosted-tooling-dead-tech-papercrafting

Not possible for me to know if it works if people don’t listen. No pressure though and thanks for the feedback. My intention is to make it worth the listen, haha.

Good to know. I’ve actually been using the tools I discuss on the show, as opposed to only naming off whatever is the newest thing without having actually used it. Good to know if that isn’t clear.

Linux Prepper is related to doing everything myself with fully open tooling as much as possible. I’ve never seen another show do the same, so I thought it would be fun to try. Self-hosting everything, and using foss tooling for everything all the time, might not be practical, but it is a fun challenge. That is the intention.

Well, it is a podcast that is self-hosted and also focusing on self-hosting, Linux, DIY, and fully open source tools. My goal is to DIY everything possible using free and open tools. This episode is about going to a recent Linux conference, visiting a makerspace, and discussing distributed file shares of Tahoe-LAFS between a number of self-hosters.

Right on

Because multiple people asked about setting this up, so it is a group effort. Certainly doesn’t have to happen.

Well, I hadn’t hadn’t thought about that. Will definitely think about it.

I was looking at pip/python instructions. https://tahoe-lafs.readthedocs.io/en/latest/Installation/install-tahoe.html Seems there are docker compose instructions https://tahoe-lafs.readthedocs.io/en/latest/running.html#development-with-docker

My understanding is there is no public. Only you have access to your data.

I’m literally learning about it just like yourself.

Tahoe-LAFS is actually much older than Storj https://tahoe-lafs.org/trac/tahoe-lafs/wiki/OldNews

Please continue submitting questions! I will look into clarifying answers. Do see the documentation. FAQ is probably a good place to start: https://tahoe-lafs.org/trac/tahoe-lafs/wiki/FAQ

What would you use instead? It and podman are nicely interchangeable.

I find your experiments inspired. Thank you! I’m learning about this myself on an rtx and excited to discuss on my little podcast.james.network one of these days. Been using paperless minus the AI functionality so far. About to start testing different AI services on an arm64 device with 16gb ram that claims some level of AI support; will see how that goes. Let me know if there are any other specific services/models you’d recommend or are curious about.

Which specific models did you try and how would you rank each is usability?