NATS
nsq
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NATS | nsq | |
---|---|---|
106 | 14 | |
14,720 | 24,530 | |
2.4% | 0.5% | |
9.8 | 6.3 | |
5 days ago | 7 days ago | |
Go | Go | |
Apache License 2.0 | MIT License |
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.
NATS
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Implementing OTel Trace Context Propagation Through Message Brokers with Go
Several message brokers, such as NATS and database queues, are not supported by OpenTelemetry (OTel) SDKs. This article will guide you on how to use context propagation explicitly with these message queues.
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NATS: First Impressions
https://nats.io/ (Tracker removed)
> Connective Technology for Adaptive Edge & Distributed Systems
> An Introduction to NATS - The first screencast
I guess I don't need to know what it is
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Interview with Sebastian Holstein, Founder of Qaze
During our interview, we referred to NATS quite a few times! If you want to learn more about it, Sebastian suggests this tutorial series.
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Sequential and parallel execution of long-running shell commands
Pueue dumps the state of the queue to the disk as JSON every time the state changes, so when you have a lot of queued jobs this results in considerable disk io. I actually changed it to compress the state file via zstd which helped quite a bit but then eventually just moved on to running NATS [1] locally.
[1] https://nats.io/
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Revolutionizing Real-Time Alerts with AI, NATs and Streamlit
Imagine you have an AI-powered personal alerting chat assistant that interacts using up-to-date data. Whether it's a big move in the stock market that affects your investments, any significant change on your shared SharePoint documents, or discounts on Amazon you were waiting for, the application is designed to keep you informed and alert you about any significant changes based on the criteria you set in advance using your natural language. In this post, we will learn how to build a full-stack event-driven weather alert chat application in Python using pretty cool tools: Streamlit, NATS, and OpenAI. The app can collect real-time weather information, understand your criteria for alerts using AI, and deliver these alerts to the user interface.
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New scalable, fault-tolerant, and efficient open-source MQTT broker
Why wasn't NATS[1] used ?
Written in Go, single-binary deployment... there's a lot to love about NATS !
[1]https://nats.io/
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Scripting with NATS.io support
require nats.io
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Introducing “Database Performance at Scale”: A Free, Open Source Book
About cost, see [1]. Also, S3 prices have been increasing and there's been a bunch of alternative offers for object store from other companies. I think people in here (HN) comment often about increasing costs of AWS offerings.
Distributed systems and consensus are inherently hard problem, but there are a lot of implementations that you can study (like Etcd that you mention, or NATS [2], which I've been playing with and looks super cool so far :-p) if you want to understand the internals, on top of many books and papers released.
Again, I never said it was "easy" to build distributed systems, I just don't think there's any esoteric knowledge to what S3 provides.
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1: https://en.wikipedia.org/wiki/Economies_of_scale
2: https://nats.io/
- NATS: Connective Technology for Adaptive Edge and Distributed Systems
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Is it an antipattern to use the response channel as identifier
I am in a project were nats.io is used. Someone thought, it would be a great idea to link data in an event with data in a response using the response channel name.
nsq
- NSQ: Open-source realtime distributed messaging, billions of messages / day
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MQTT vs. Kafka: An IoT Advocate's Perspective
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.
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Any thoughts on using Redis to extend Go's channels across application / machine boundaries?
(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.
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FileWave: Why we moved from ZeroMQ to NATS
Bit.ly's NSQ is also an excellent message queue option.
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Infinite loop pattern to poll for a queue in a REST server app
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.
- NSQ – A realtime distributed messaging platform
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What are pros and cons of Go?
distrubition server engine ( for example websocket server multi ws gateway and worker pool,nsq.io realtime message queue and so on)
- Nsq - A realtime distributed messaging platform
- Is there any conventionally accepted repo that is representative of well designed go code ?
- NSQ: A realtime distributed messaging platform
What are some alternatives?
RabbitMQ - Open source RabbitMQ: core server and tier 1 (built-in) plugins
NATS - Golang client for NATS, the cloud native messaging system.
celery - Distributed Task Queue (development branch)
redpanda - Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!
Apache Kafka - Mirror of Apache Kafka
ZeroMQ - ZeroMQ core engine in C++, implements ZMTP/3.1
Apache ActiveMQ - Mirror of Apache ActiveMQ
etcd - Distributed reliable key-value store for the most critical data of a distributed system
consul - Consul is a distributed, highly available, and data center aware solution to connect and configure applications across dynamic, distributed infrastructure.