metaflow VS rclone

I would recommend the following: - https://www.mage.ai/ - https://dagster.io/ - https://www.prefect.io/ - https://metaflow.org/ - https://zenml.io/home

1) I've been looking into [Metaflow](https://metaflow.org/), which connects nicely to AWS, does a lot of heavy lifting for you, including scheduling.

even for people who don't have an ML background there's now a lot of very fully-featured model deployment environments that allow self-hosting (kubeflow has a good self-hosting option, as do mlflow and metaflow), handle most of the complicated stuff involved in just deploying an individual model, and work pretty well off the shelf.

They had to figure out video compression that worked at the volume that they wanted to deliver. They had to build and maintain their own CDN to be able to have a always available and consistent viewing experience. Don’t even get me started on the resiliency tools like hystrix that they were kind enough to open source. I mean, they have their own fucking data science framework and they’re looking into using neural networks to downscale video.. Sound familiar? That’s cause that’s practically the same thing as Nvidia’s DLSS (which upscales instead of downscales).

Check out Metaflow by Netflix

Github Actions, Metaflow and AWS SageMaker are awesome technologies by themselves however they are seldom used together in the same sentence, even less so in the same Machine Learning project.

It's undeniable that leadership is instrumental in any company and project success, however I was intrigued with one of their ML tool choices that helped them reach their goal. I was so curious about this choice that I just had to learn more about it, so in this article will be talking about a sound strategy of effectively scaling your AI/ML undertaking and a tool that makes this possible - Metaflow.

rclone: a command-line program to manage files on cloud storage.

Synchronise buckets with Sclone or Rclone

Says that Apple doesn't provide a multi platform API. It doesn't provide any official supported way to access iCloud from Windows, Linux.

There's a ticket covering everything you might ever want to know:

https://github.com/rclone/rclone/issues/1778

seconding rsync and syncthing.

the server could expose an smb or nfs share, the client could mount it, and then sync to that mount.

rsync over ssh also works, if you do not want to run smb/nfs.

this is also a cool tool https://rclone.org/

rclone [1] to dropbox. works since years without problems

[1] https://rclone.org/

rclone provides a special pCloud config option, which makes the setup straight forward. rclone can encrypt the data it uploads with its own encryption but not with the pCloud encryption. Therefore it can only upload data to the unencrypted pCloud folders, not to the Crypto Folder.

The arkclone project impliments rclone in ArkOS to achieve cloud saves. Not yet built in to ArkOS yet, and not a lot of recent traction on the pull request to get it added, but it can be installed manually.