NATS
watermill
NATS | watermill | |
---|---|---|
106 | 23 | |
14,766 | 6,756 | |
1.1% | 1.6% | |
9.8 | 7.1 | |
7 days ago | 5 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.
watermill
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Microservices communication
I’ve successfully worked on projects using an asynchronous event-driven way of connecting services. I really like the decoupling of business logic and the events triggering it. I highly recommend https://github.com/ThreeDotsLabs/watermill to be more flexible when it comes to choosing the actual technology driving the async patter. It might be NATS today but requirements might change and you need to change. Watermill prepares you for this.
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Public chatroom websocket project in Go
Highly recommend https://watermill.io lib for building async apps (using among others pub/sub patterns). It greatly decouples your code from the underlying technology and gives you the freedom to choose depending on the environment (e.g dev, prod). For dev or small scale purposes, it supports pub/sub purely based on go channels.
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How did you solve the problem of transactions between different databases and services?
Look at this library: https://github.com/ThreeDotsLabs/watermill
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Examples of using task scheduler with Go?
Watermill is a good pubsub abstraction. You can start with native go channels and grow into a cloud pubsub or Kafka/Pulsar if you need to.
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Small EDA/Micro service Project
These conditions have led me to discover two packages watermill.io and go-kit. Both of these seem to do what I want and I am thinking of implementing the project using watermill and go Chanels and deploying to a server or some sort.
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Event Observer Pattern in Go
github.com/ThreeDotsLabs/watermill package provides a framework for building event-driven applications. It allows easy communication between independent components by decoupling the sender and the receiver.
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I've just started learning Golang, and I'm struggling to choose a framework.
My personal favorite tools: - https://github.com/go-kit/ for building services (although it's not necessary a great tool for prototyping) - https://github.com/gorilla/mux router (although it's been recently deprecated, so I'm looking for a similar, maintained library) - https://entgo.io/ ORM - https://watermill.io/ for messaging
- How to handle events: an interactive example of consumer groups
- I’m looking for a suggestion for a queuing library
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Looking for a mature distributed task queuer/scheduler in go
Checkout https://watermill.io/
What are some alternatives?
RabbitMQ - Open source RabbitMQ: core server and tier 1 (built-in) plugins
eventhorizon - Event Sourcing for Go!
celery - Distributed Task Queue (development branch)
go-kit - A standard library for microservices.
redpanda - Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!
Benthos - Fancy stream processing made operationally mundane
ZeroMQ - ZeroMQ core engine in C++, implements ZMTP/3.1
pulse - ☁EventBus on Portable Pub/Sub Components☄
Apache ActiveMQ - Mirror of Apache ActiveMQ
wild-workouts-go-ddd-example - Go DDD example application. Complete project to show how to apply DDD, Clean Architecture, and CQRS by practical refactoring.
nsq - A realtime distributed messaging platform
go-rabbitmq - A wrapper of streadway/amqp that provides reconnection logic and sane defaults