seaweedfs VS microk8s

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

If you want hands-on practice you should have a running Kubernetes cluster (I used MicroK8s for this tutorial) and Helm (see how to install on Installing Helm tutorial). It is important that you understand the basics of these tools to fully understand.

And install microk8s:

MicroK8s is a lightweight, batteries included Kubernetes distribution by Canonical designed for running edge workloads which also happens to be developer-friendly and a great choice for building your own homelab. The following lab covers how to install and run MicroK8s on your own edge node running Ubuntu 22.04 LTS, deploy the NGINX web service and exposing your NGINX website to the Internet with SSL/TLS enabled using AWS resources included within the Free Tier.

One quick and easy win I can recommend, is microk8s.

I had the same problem (and there's a github issue about this: https://github.com/canonical/microk8s/issues/2186). I swapped to k3s and the usage was half of what microk8s used.

microk8s currently has a showstopping issue that makes it guaranteed to have an irrecoverable failure in HA mode. see https://github.com/canonical/microk8s/issues/3227

k0s is better but also has a lot of bugs. it's the closest to vanilla kubernetes among all the distributions.

> like the simplest GPU support

linux users should be ready to install the nvidia device plugin. if they can't do that, they're never going to succeed in running a gpu accelerated application on their cluster anyway.

> like bootstrapping

in my experience, writing all the bootstrap scripts is painful. but now that there's chatgpt, so much of the drudgery as gone away.

MicroK8S to spin up a Kubernetes cluster

They now power my microk8s/x86 cluster (in addition to my 8-node Raspberry Pi4 ARM64 microk8s cluster), microceph cluster and my LXD cluster, and all are configured with WOL, so I can bring up the cluster from any machine in the homelab, on demand.