Canvas LMS VS manta

I did not realize that Canvas is open source. That's an LMS most people like. You have hosting space and server-side savvy, you could set that up: https://github.com/instructure/canvas-lms

Canvas go brrrrrrrr

Also look at Canvas.

github.com/instructure/canvas-lms (745k lines): A popular LMS (learning management system).

No it's not. From a practical standpoint, I'm not even sure how that could work. You would have to require all browsers to be open source AGPL in order to load a web page served by it. By way of analogy it seems the equivalent of requiring the mouse and keyboard firmware to be licensed the same as the operating system.

A real life example is Instructure, which makes Canvas (which is agpl) but has other proprietary services that interact heavily with it. It's never been a problem

1: https://github.com/instructure/canvas-lms

Look into Canvas LMS, I would recommend using 8GB RAM and at least 4 vCores. I have used it in the past (`2 years ago) and only had issues with cloning class/course templates.

If you're planning on doing this as business though, bear in mind this is a pretty crowded market. There's already at least one Rails-based LMSes out there (https://github.com/instructure/canvas-lms), and dozens in PHP-land.

There is also Canvas.

These posts always remind me of the [Manta Object Storage](https://www.tritondatacenter.com/triton/object-storage) project by Joyent. This project was basically a combination of object storage with the added ability to run arbitrary programs against your data in situ. The primary, and key, difference being that you kept the data in place and distributed the program to the data storage nodes (the opposite of most data processing as I understand it), I think of this as a superpowered version of using [pssh](https://linux.die.net/man/1/pssh) to grep logs across a datacenter. Yet another idea before its time. Luckily, Joyent [open sourced](https://github.com/TritonDataCenter/manta) the work, but the fact that it still hasn't caught on as "The Way" is telling.

Some of the projects I remember from the Joyent team were: dumping recordings of local mariokart games to manta and running analytics on the raw video to generate office kart racer stats, the bog standard dump all the logs and map/reduce/grep/count them, and I think there was one about running mdb postmortems on terabytes of core dumps.

Are you sure this offers the same S3 compatible API? It sure does look like it rolled its own API[1], which I guess is fine so long as you're entirely in the Triton ecosystem, but makes reusing existing software harder than necessary without that compatibility layer. And that's not even getting into this absolutely mess: https://github.com/TritonDataCenter/manta#repositories it reminds me of the "Microservices" video come to life

1: https://github.com/TritonDataCenter/manta/blob/master/docs/u...

This is great information, and we've had similar experiences.

I'm also looking forward to further testing LinuxCN (https://github.com/joyent/linux-live/tree/linuxcn) on Triton in the near future!

Are you running Manta (https://github.com/joyent/manta) for anything? If so, is that meeting you needs for object storage?

Joyent's Manta took this concept to the extreme.

Previous discussion here: https://news.ycombinator.com/item?id=5939340

Image manipulation example: https://www.joyent.com/blog/joyent-manta-storage-service-ima...

Manta repo an GitHub: https://github.com/joyent/manta