torrent
kraken
torrent | kraken | |
---|---|---|
22 | 14 | |
5,313 | 5,852 | |
- | 0.7% | |
9.3 | 3.5 | |
7 days ago | 6 days ago | |
Go | Go | |
Mozilla Public License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
torrent
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BTFS (BitTorrent Filesystem)
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.
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Bitmagnet Allows People to Run Their Own Decentralized Torrent Indexer Locally
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.
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0x0: Share Files from Terminal
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 `.
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Docker's deleting Open Source images and here's what you need to know
Hit me up if you want to discuss using BitTorrent to back images. https://github.com/anacrolix/torrent
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Ask HN: What's a good open-source alternative to Cloudflare?
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.
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Transmission v4.0
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.
- Full-featured BitTorrent client package and utilities for Go
- Show HN: Mabel – a fancy BitTorrent client for the terminal
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How to run a Webtorrent as service?
https://tcloud-lunik.herokuapp.com/ https://btorrent.xyz/ https://github.com/pldubouilh/webtorrent-webui https://github.com/anacrolix/torrent
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Refactoring variadic functions with tools
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.
kraken
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BTFS (BitTorrent Filesystem)
https://github.com/uber/kraken?tab=readme-ov-file#comparison...
"Kraken was initially built with a BitTorrent driver, however, we ended up implementing our P2P driver based on BitTorrent protocol to allow for tighter integration with storage solutions and more control over performance optimizations.
Kraken's problem space is slightly different than what BitTorrent was designed for. Kraken's goal is to reduce global max download time and communication overhead in a stable environment, while BitTorrent was designed for an unpredictable and adversarial environment, so it needs to preserve more copies of scarce data and defend against malicious or bad behaving peers.
Despite the differences, we re-examine Kraken's protocol from time to time, and if it's feasible, we hope to make it compatible with BitTorrent again."
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Resilient image cache/mirror
Kraken seems unmaintained: https://github.com/uber/kraken/issues/313
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DockerHub replacement stratagy and options
For within your boundary of control, whether that be r/selfhosting, r/homelab, or enterprise a small registry or something like uber's kraken registry makes more sense.
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Docker is deleting Open Source organisations - what you need to know
First hit on Google is https://github.com/uber/kraken Did not know such thing exists.
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MinIO passes 1B cumulative Docker Pulls
Uber Engineering open-sourced Kraken [1], their peer-to-peer docker registry. I remember it originally using the BitTorrent protocol but in their readme they now say it is "based on BitTorrent" due to different tradeoffs they needed to make.
As far as I know there aren't any projects doing peer-to-peer distribution of container images to servers, probably because it's useful to be able to use a stock docker daemon on your server. The Kraken page references Dragonfly [2] but I haven't grokked it yet, it might be that.
It's also possible that in practice you'd want your CI nodes optimized for compute because they're doing a lot of work, your registry hosts for bandwidth, and your servers again for compute, and having one daemon to rule them all seems elegant but is actually overgeneralized, and specialization is better.
1 https://github.com/uber/kraken
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Ask HN: Have You Left Kubernetes?
If you're pulling big images you could try kube-fledged (it's the simplest option, a CRD that works like a pre-puller for your images), or if you have a big cluster you can try a p2p distributor, like kraken or dragonfly2.
Also there's that project called Nydus that allows starting up big containers way faster. IIRC, starts the container before pulling the whole image, and begins to pull data as needed from the registry.
https://github.com/senthilrch/kube-fledged
https://github.com/dragonflyoss/Dragonfly2
https://github.com/uber/kraken
https://nydus.dev/
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Kube-fledged: Cache Container Images in Kubernetes
Uber Kraken: Kraken is a P2P Docker registry capable of distributing TBs of data in seconds (URL: https://github.com/uber/kraken)
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How to handle registry outages ? Registry outage contingency plans ?
Might want to consider a private p2p solution like https://github.com/uber/kraken or similar.
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How to handle locally build container images across nodes? Container Registry the only way?
Cost, availability, upkeep. Same as any other service. There are alternatives… https://github.com/uber/kraken
- Can Kubernetes pre-pull and cache images?
What are some alternatives?
Maestro - Take control of your data, connect with anything, and expose it anywhere through protocols such as HTTP, GraphQL, and gRPC.
Dragonfly - This repository has be archived and moved to the new repository https://github.com/dragonflyoss/Dragonfly2.
raft - Golang implementation of the Raft consensus protocol
kube-fledged - A kubernetes operator for creating and managing a cache of container images directly on the cluster worker nodes, so application pods start almost instantly
glow - Glow is an easy-to-use distributed computation system written in Go, similar to Hadoop Map Reduce, Spark, Flink, Storm, etc. I am also working on another similar pure Go system, https://github.com/chrislusf/gleam , which is more flexible and more performant.
containers-roadmap - This is the public roadmap for AWS container services (ECS, ECR, Fargate, and EKS).
rain - 🌧 BitTorrent client and library in Go
deckschrubber - Deckschrubber inspects images of a Docker Registry and removes those older than a given age. :high_brightness::ship:
tendermint - ⟁ Tendermint Core (BFT Consensus) in Go
image-cache-daemon
confluence - Torrent client as a HTTP service
ipdr - 🐋 IPFS-backed Docker Registry