workerd VS torrent

Standards bodies only standardize things after they've been proven to work. You can't standardize a new idea before offering it to the market. It's hard enough to get just one vendor to experiment with an idea (it literally took me years to convince everyone inside Cloudflare that we should build Durable Objects). Getting N competing vendors to agree on it -- before anything has been proven in the market -- is simply not possible.

But the Durable Objects API is not complicated and there's nothing stopping competing platforms from building a compatible product if they want. Much of the implementation is open source, even. In fact, if you build an app on DO but decide you don't want to host it on Cloudflare, you can self-host it on workerd:

https://github.com/cloudflare/workerd

In any case, I welcome this initiative with my open hands and look forward all the cool apps that people will now build with this!

[1] https://pyodide.org/

[2] https://github.com/cloudflare/workerd/blob/main/docs/pyodide...

[3] https://github.com/cloudflare/workerd/pull/1875

For ref:

- https://blog.cloudflare.com/workerd-open-source-workers-runt...

- https://github.com/cloudflare/workerd

workerd

I think this is for people who want to run their own cloudflare workers (sort of) and since nobody wants to run full node for that, they want a small runtime that just executes js/wasm in an isolated way. But I wonder why they don't tell me how I can be sure that this is safe or how it's safe. Surely I can't just trust them and it explicitly mentions that it still has file IO so clearly there is still work I need to do customize the isolation further. But then they don't show any info on that core usecase. But then that's probably because they don't really want you to use this to run it on your own, they are selling you on running things on their edge platform called "Wasmer Edge". So that's probably why this is so light on information.. the motivation isn't to get you to use this yourself, just to use this their hosted edge platform. But then I wonder why I wouldn't just use https://github.com/cloudflare/workerd which is also open source. Surely that is fast enough? If not then it should show some benchmarks?

i love how the main reference for workerd can be just one capnp file.

https://github.com/cloudflare/workerd/blob/main/src/workerd/...

this changed my world how i think about computing on the web.

if there was just a good enough js library as for lua and you could directly send capnp messages to workerd instead of always going through files. I guess one day i have to relearn c++ and understand how the internals actually work.

A significant chunk of it is open source: https://github.com/cloudflare/workerd/

Some of the configuration files for applications wind up being an entire language unto themselves, e.g., https://github.com/cloudflare/workerd/blob/1b5057f2bfcfedf146f6f79ff04e99903d55412b/src/workerd/io/compatibility-date.capnp

Edge runtimes are very good alternatives to containers that shouldn't be dismissed for "not being containers". They're often faster, more scalable, and cheaper than containers. Them being so lightweight also enable a "nanoservice architecture" – being able to run every service on a single computer instead of running different services on different computers and having to deal with network latency and unreliability.

https://github.com/anacrolix/torrent has a fuse driver since 2013. I'm in the early stages of removing it. There are WebDAV, 3rd party FUSE, and HTTP wrappers of the client all doing similar things: serving magnet links, infohashes, and torrent files like an immutable filesystem. BitTorrent v2 support is currently in master.

I'm the author of https://github.com/anacrolix/torrent (started in 2013) and https://github.com/anacrolix/dht (started in 2015). I have a DHT indexer implementation I developed in 2021. It's currently closed source but available for use as part of https://www.coveapp.info/. I have found that after several hours the search is excellent and stays up to date with ease.

https://github.com/anacrolix/torrent/blob/master/cmd/torrent... does exactly that. Install with `go get github.com/anacrolix/torrent/cmd/torrent@latest`, and then run `torrent serve `.

Hit me up if you want to discuss using BitTorrent to back images. https://github.com/anacrolix/torrent

It has some small latency but only when resources are spread across many different infos. If you can constrain your resources to a single DHT traversal, it's pretty quick. I run several services that stream from BitTorrent on demand, using https://github.com/anacrolix/torrent which are surprisingly quick to start. However it does choke up when you try to start many different resources at once, which multiplies horizontally the number of DHT traversals, and per-torrent related overhead to get started.

It is solvable, but any solution that spreads resources out across many different targets in the DHT is slow. Basically anything that was inspired by BitTorrent, but isn't BitTorrent itself does this, because they get overly excited by deduplication of data.

For whatever reason the ARM version Transmission does not work well on my M2 laptop - it downloads quickly at first and then drops off to zero. I tried playing around with different settings, running their nightly builds, etc, and nothing fixed it for me. In the end I searched for other clients and found them all filled with ads and bloatware, and decided to use this excellent open source command line client instead:

https://github.com/anacrolix/torrent

It has a few frontends built on top of it (linked in the project readme), but I just run `torrent download ` and it downloads at full speed / with no issues.

https://tcloud-lunik.herokuapp.com/ https://btorrent.xyz/ https://github.com/pldubouilh/webtorrent-webui https://github.com/anacrolix/torrent

The use case is in the refactoring in https://github.com/anacrolix/torrent/compare/smartban...lazylog. A lot of the parameters moved around as part of a performance optimization in https://github.com/anacrolix/log/compare/lazylog.