nsq VS NATS

https://nsq.io/ is also very reliable, stable, lightweight, and easy to use.

Interesting. What are you thoughts on NSQ?

https://github.com/nsqio/nsq

Was looking at it earlier today, but haven't ever tried it out.

(G)NATS can do millions of messages per second and is the right tool for the job (either that or NSQ). Redis isn't even the fastest Redis protocol implementation, KeyDB significantly outperforms it.

Bit.ly's NSQ is also an excellent message queue option.

Queue consumers are interesting because there are many solutions for them, from using Redis and persisting the data in a data store - but for fast and scalable the approach I would take is something like SQS (as I advocate AWS even free tier) or NSQ for managing your own distributed producers and consumers.

distrubition server engine ( for example websocket server multi ws gateway and worker pool,nsq.io realtime message queue and so on)

NATS, with its lightweight and high-performance design, offers features well-suited for sandbox testing. We can leverage NATS queue groups, which function similarly to Kafka consumer groups.

In today’s dynamic cloud environments, managing Kubernetes resources across multiple clusters can be a complex task. Traditional methods often lack the agility and event-driven architecture needed to respond quickly to changes and automate resource provisioning. This article explores how Sveltos, in conjunction with NATS and JetStream, simplifies multi-cluster Kubernetes management through event-driven automation, streamlining operations and improving responsiveness.

hey thanks!

definitely interesting!

I do wonder if this really solves the author problem because by the looks of it , you just have to run meta command and it would run over each of the sub directory. While at the same time , I think I like it because this is what I think people refer to as "modular monolith"

Combining this with nats https://nats.io/ (hey if you don't want it to be over the network , you could use nats with the memory model of your application itself to reduce any overhead) and essentially just get yourself a really modular monolith in which you can then seperate things selectively (ahem , microservices) afterwards rather easily.

and now decided to write more complex things using https://nats.io and https://data-star.dev -

JetStream was originally designed/built separately, but is now built into NATS. So that repo is obsolete. NATS with JetStream is here: https://github.com/nats-io/nats-server.

NATS is an open-source, lightweight, high-performance messaging system known for its simplicity and ease of use. It is designed for cloud-native and IoT applications.

That sounds awesome. I have actually been working on something similar myself. I have been building a distributed NATS[0] cluster to funnel data down from the internet and index it locally. I also have a local Ollama box wired up to try to do some NLP on it.

I started with Benthos to pull in, but since the recent license changes[1] I am rethinking that :(

If you would like to collaborate feel free to shoot me an email!

[0] https://nats.io/

[1] https://news.ycombinator.com/item?id=40537911