This page and this page, both by Laurent Bercot, creator of s6. Source: about 1 year ago

Of the two I have experience with, runit is simpler and thus easier to get the hang of than s6-rc/s6. Though the s6 (not s6-rc) docs at the author's site contain a lot of info (including apologetics and rationales) that applies almost equally well to runit. Source: about 1 year ago

Using the s6-service add command I added a service called "libvertd" when I ment to put "libvirtd". Now when I run s6-db-reload it spits out a error message saying "undefined service name libvertd". But I cant remove it using s6-service remove libvertd because that just spits out a generic help message and doesn't change anything. I also couldn't find documentation on Https://skarnet.org/software/s6/ or... Source: over 1 year ago

For the trivia, this is pushed by Laurent Bercot (skarnet), creator of s6, execline and many others. He's also working on implementing s6 as Alpine init and rc systems. https://skarnet.org/software/s6/ https://skarnet.com/projects/service-manager.html. - Source: Hacker News / almost 2 years ago

FWIW, the spirit of daemontools lives on in the s6 project. https://skarnet.org/software/s6/. - Source: Hacker News / about 2 years ago

Cloud Storage: blog storage for static assets and media files. - Source: dev.to / 6 months ago

Preevy includes built-in support for saving profiles on AWS S3 and Google Cloud Storage. You can also store the profile on the local filesystem and copy it manually before running Preevy - we won't show this method here. - Source: dev.to / 7 months ago

Google Cloud Storage{:target="_blank"} is a globally distributed object storage service offered by Google Cloud Platform. They provide trustworthy and scalable databases for storing large amounts of blob data. They also provide a way to optimize cost and performance with different storage classes and pricing options. - Source: dev.to / 11 months ago

Google Cloud Storage - https://cloud.google.com/storage/. - Source: dev.to / about 1 year ago

Also, in terms of packing a pre-trained model you will probably want to puts weights, biases etc into S3 or similar object storage (https://cloud.google.com/storage etc) and load it on application start. Source: about 1 year ago