goofys VS s3fs

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/

How is this different than these other solutions?

https://github.com/kahing/goofys

https://github.com/s3fs-fuse/s3fs-fuse

But now I ask.. why not s3fs? Is it the GPL licensing? Or even goofys that also have Apache2 licensing and seems to hit similar goals (non fully POSIX compliant)? Why build your own?

If your 20TB is in S3, use a staging box with goofys (https://github.com/kahing/goofys) to mount the commercial S3 bucket(s) into a folder, then use s3 sync to copy to your bucket(s) in GovCloud.

So, we just need to change the dataloader function a bit to make this work then. Did you try just mounting S3 using https://github.com/kahing/goofys. In this case, we need not even change the dataloader code. Not sure of the performance though.

We're using goofys as the mounting utility. It's a "high-performance, POSIX-ish Amazon S3 file system written in Go" based on FUSE (file system in user space) technology.

will probably experiment with https://github.com/kahing/goofys and https://litestream.io/ to make services more easily moved between the devices :) Also, will continue working on https://synpse.net/ to make the operations easier.

This can work surprisingly well. There are some helpful predicates in guregu/predicates to deal with JSON and filesystem stuff (for example, you could hook up predicates.FS with something like jszwec/s3fs to easily load files from S3). If you end up needing a more mature Prolog, I also have a Go implementation of pengine_rpc/3 in the pengine package to easily call SWI.