liftbridge
torrent
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liftbridge | torrent | |
---|---|---|
10 | 22 | |
2,532 | 5,307 | |
0.4% | - | |
6.4 | 9.3 | |
25 days ago | 6 days ago | |
Go | Go | |
Apache License 2.0 | Mozilla Public 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.
liftbridge
- Kafka alternatives
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Understanding NATS.io concepts vs. Kafka - similarities and differences
Liftbridge (https://liftbridge.io/) is more or less the NATS Kafka versioning.
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Gufo Liftbridge - the Python asyncio Liftbridge client
[Gufo Liftbridge](https://pypi.org/project/gufo-liftbridge/) is the Python asyncio Liftbridge client.
- What I Wish Someone Would Have Told Me About Using Rabbitmq
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On Efficiently Partitioning a Topic in Apache Kafka
https://liftbridge.io/
Apache Pulsar might be worth a look, but it's actually more complex under the hood than Kafka, but has a lot of features built-in that either aren't in FOSS Kafka yet, like tiered storage, or won't be until Confluent doesn't dominate the PMC (like an integrated schema registry), or just can't be done very nicely, if at all, like decent multi-tenancy.
That said, it's a fast moving target, the code quality last I looked was patchy in places, ditto the documentation for both it and Bookkeeper, and the admin overhead is higher (managing bookies and brokers and Zookeepers vs. just brokers and ZK with Kafka, or when KRaft is production ready, just brokers).
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Processing billions of events in real time at Twitter
This is basically an ad for GCP right?
That said, it looks like Kafka is by far and away the way to handle persistent logs/events at scale. AFAIK a company here in Japan called LINE has all their messaging flowing through a large kafka cluster themselves.
Wonder if anyone is running large NATS Jetstream[0]/Liftbridge[1] or Pulsar[2] (yahoo runs those) clusters. I guess Pulsar might be #2 in terms of adoption at large scale?
[0]: https://docs.nats.io/jetstream/jetstream
[1]: https://liftbridge.io/
[2]: https://pulsar.apache.org/
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Most primitive lighweight alternative to Kafka?
Do you need the messages to be durable, if so you can have a look at Liftbridge: - https://liftbridge.io/ - https://github.com/liftbridge-io/liftbridge
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ZooKeeper-free Kafka is out. First Demo
And if you want closer kafka semantics built on top of nats, check out liftbridge:
https://liftbridge.io/
- NATS, NATS Streaming & NATS JetStream + How to build a JetStream Cluster & Go Client
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.
What are some alternatives?
jetstream - JetStream Utilities
Maestro - Take control of your data, connect with anything, and expose it anywhere through protocols such as HTTP, GraphQL, and gRPC.
Apache Kafka - Mirror of Apache Kafka
raft - Golang implementation of the Raft consensus protocol
NATS - High-Performance server for NATS.io, the cloud and edge native messaging system.
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.
KrakenD - Ultra performant API Gateway with middlewares. A project hosted at The Linux Foundation
rain - 🌧 BitTorrent client and library in Go
tendermint - ⟁ Tendermint Core (BFT Consensus) in Go
redpanda - Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!
confluence - Torrent client as a HTTP service