centrifuge VS liftbridge

BTW, Centrifugo is based on https://github.com/centrifugal/centrifuge Go library which may provide much more control and flexibility for Gophers than a standalone server and can be embedded to any Go app leveraging all Centrifugo client SDKs.

There are libraries which provide more advanced APIs for creating real-time applications, for example https://github.com/centrifugal/centrifuge

Yes, but there are two excelent libs for golang websockets - https://github.com/gobwas/ws - https://github.com/centrifugal/centrifuge

What https://github.com/centrifugal/centrifuge does:

Have you considered https://github.com/centrifugal/centrifuge? It also uses Gorilla WebSocket for WebSocket transport at the moment – but it's hidden inside and may be replaced if needed since Transport interface is pluggable. It's more heavyweight though than both Melody and Gorilla WebSocket but provides much more functionality out-of-the-box.

Not a Socket.IO compatible but maybe you will find it useful/interesting: https://github.com/centrifugal/centrifuge

Thanks! BTW, Centrifugo's core is based on https://github.com/centrifugal/centrifuge Go library - which theoretically can be more flexible and extensible solution for Go developers than Centrifugo server since server dictates some auth/permission/channel/api rules.

Hello, +1 to WebSockets. If you need to choose WS library – go with https://github.com/gorilla/websocket or https://github.com/gobwas/ws. You can also look at Centrifugo server (https://centrifugal.dev/, supports WebSocket, SockJS bidi transports, also EventSource, HTTP-streaming, GRPC unidirectional transports and many builtin features) or https://github.com/centrifugal/centrifuge Go library.

Liftbridge (https://liftbridge.io/) is more or less the NATS Kafka versioning.

[Gufo Liftbridge](https://pypi.org/project/gufo-liftbridge/) is the Python asyncio Liftbridge client.

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).

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/

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

And if you want closer kafka semantics built on top of nats, check out liftbridge:

https://liftbridge.io/