MovieNight
s3fs-fuse
| MovieNight | s3fs-fuse | |
|---|---|---|
| 4 | 57 | |
| 660 | 8,095 | |
| - | 1.1% | |
| 5.7 | 8.8 | |
| about 2 months ago | 13 days ago | |
| Go | C++ | |
| MIT License | GNU General Public License v3.0 only |
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MovieNight
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Looking for self hosted screen sharing/streaming solution
I remember looking at MovieNight in the past, but I never deployed it so I can't speak to whether it will work for you or not.
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Moving my home media library from iTunes to Jellyfin and Infuse
Jellyfin supports "Watch parties" which I've used for movie nights in the past. It works well enough.
But if you want this going real-time and continuously it sounds like you want more of an RTMP stream setup. I recommend MovieNight[0] but you can handle it natively in Nginx I think. Then it's just a matter of setting up OBS[1] or something similar to stream to it and you can do whatever you want.
[0] https://github.com/zorchenhimer/MovieNight
- P2P Video Streaming
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Talking to others viewing the same stream
You could always host your own, and forward the M3U through an RTMP server https://github.com/zorchenhimer/MovieNight
s3fs-fuse
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Is Posix Outdated?
The author needs to ask themselves: in this cloud technology stack, is there POSIX involved somewhere lower down, where I can't access it? The answer is, of course, "yes". The sort of cloud storage systems described all run on top of POSIX APIs. They provide convenience (cost efficiency is more debatable) compared to the POSIX alternative, but that's because they exist at an entirely different conceptual layer (hence the presence of POSIX anyway, just buried).
Your point about surfacing a POSIX that's actually there but hidden and thus visible to low-level Amazon employees building the S3 service which makes it invisible to S3 end customers is true but isn't the the point of the article. The author is saying there are motivations for a POSIX-like api visible also the end user.
So your explanation of stack looks like 2 layers: POSIX api <-- AWS S3 built on top of that
Author's essay is actually talking about 3 layers: POSIX <-- AWS S3 <-- POSIX
That's why the blog post has the following links to POSIX-on-top-of-S3-objects :
https://github.com/s3fs-fuse/s3fs-fuse
https://github.com/kahing/goofys
https://www.cuno.io/
- Gcsfuse: A user-space file system for interacting with Google Cloud Storage
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R2 slow PUT file transfer
sudo apt install build-essential libfuse-dev fuse git clone https://github.com/s3fs-fuse/s3fs-fuse.git cd s3fs-fuse sudo apt install libfuse2 sudo apt install libcurl4-openssl-dev sudo apt install libxml2-dev ./autogen.sh ./configure make
- Cloud Backed SQLite
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Podman and S3 Storage Driver (Audiobookshelf)
Don’t know actually. Here is project page.
- Uploading hundreds to thousands of files to S3
- Linux Client for R2
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s3fs-fuse - allows to mount your s3/minio bucket link to your local directory
s3fs-fuse
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AWS Announces Open Source Mountpoint for Amazon S3
How is this different than these other solutions?
https://github.com/kahing/goofys
https://github.com/s3fs-fuse/s3fs-fuse
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Introducing Mountpoint for Amazon S3 - A file client that translates local file system API calls to S3 object API calls like GET and LIST.
I don’t get it. Why not just improve https://github.com/s3fs-fuse/s3fs-fuse
What are some alternatives?
owncast - Take control over your live stream video by running it yourself. Streaming + chat out of the box.
goofys - a high-performance, POSIX-ish Amazon S3 file system written in Go
ErsatzTV - Stream custom live channels using your own media
rclone - "rsync for cloud storage" - Google Drive, S3, Dropbox, Backblaze B2, One Drive, Swift, Hubic, Wasabi, Google Cloud Storage, Azure Blob, Azure Files, Yandex Files
jellyfin-webos - WebOS Client for Jellyfin
mountpoint-s3 - A simple, high-throughput file client for mounting an Amazon S3 bucket as a local file system.
Swiftfin - Native Jellyfin Client for iOS and tvOS
jellyfin-tizen - Jellyfin Samsung TV Client
unmanic - Unmanic - Library Optimiser
mediacms - MediaCMS is a modern, fully featured open source video and media CMS, written in Python/Django and React, featuring a REST API.