seaweedfs VS juicefs

Whoops: WebDAV:

https://news.ycombinator.com/item?id=39417503

SeaweedFS supports WebDAV. https://github.com/seaweedfs/seaweedfs/wiki/WebDAV

I'm not able to find if both/restic supports mounting backups as WebDAV, but in theory there's nothing stopping you.

It's 100% user space (expose a rest service) and supported by a bunch of file-browsers with a bit of a network aware component to it as well.

If you want/need to take out the metadata, there's some nice solutions for that https://github.com/seaweedfs/seaweedfs

I posted this on https://github.com/seaweedfs/seaweedfs/discussions/5290

I like the idea of using SeaweedFS as an intermediate layer with object write notifications going to SQS, RabbitMQ, or a local file, which could also allow me to observe the changes to different files through a metric collection layer like Prometheus and Grafana.

> Theoretically they could swap with minio but last time we used it it was not a drop-in replacement yet.

Depends on whether AGPL v3 works for you or not (or whether you decide to pay them), I guess: https://min.io/pricing

I've actually been looking for more open alternatives, but haven't found much.

Zenko CloudServer seemed to be somewhat promising, but doesn't seem to be managed very actively: https://github.com/scality/cloudserver/issues/4986 (their Docker images on DockerHub were last updated 10 months ago, which is what the homepage links to; blog doesn't seem active since 2019, forums don't have much going on, despite some action on GitHub still)

There was also Garage, but that one is also AGPL v3: https://garagehq.deuxfleurs.fr/

The closest I got was discovering that SeaweedFS has an S3 compatible mode: https://github.com/seaweedfs/seaweedfs

SeaweedFS S3 Gateway for Joplin notes

Support for Kerberos keytab files

JuiceFS under the Apache License 2.0, is a high-performance POSIX file system optimized for cloud-native environments. It stores data in Object Storage (e.g., Amazon S3) and metadata in databases like Redis, MySQL, or TiKV. JuiceFS integrates massive cloud storage with big data, machine learning, and AI applications efficiently, akin to local storage. It features full POSIX and Hadoop compatibility, S3 interface, Kubernetes support, and shared file storage for numerous clients. Some cool features are - strong consistency, scalable performance, data encryption, global file locks, and compression with LZ4 or Zstandard.

To improve the handling process of capacity overrun, the JuiceFS client supports deletion operations in the case of Ceph cluster fullness (see related code changes in JuiceFS Community Edition). Therefore, for newer client versions, there is no need to use set-full-ratio for temporary adjustments.

If you have any questions or would like to learn more, feel free to join discussions about JuiceFS on GitHub and the JuiceFS community on Slack.

The architecture image shows GCS and others, so I suspect it does.

https://github.com/juicedata/juicefs#architecture

See also: JuiceFS: https://juicefs.com/

Adds a DBMS or key-value store for metadata, making the filesystem much faster (POSIX, small overwrites don't have to replace a full object in the GCS/S3 backend).

Almost certainly a better solution if you want to turn your object storage into a mountable filesystem, with the (big) caveat that you can't access the files directly in the bucket (they are not stored transparently).

JuiceFS can do the same thing as s3fs-fuse, but better. Because it supports robust data consistency and caching policies to improve performance.