NATS VS wild-workouts-go-ddd-example

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.

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

During our interview, we referred to NATS quite a few times! If you want to learn more about it, Sebastian suggests this tutorial series.

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/

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.

Why wasn't NATS[1] used ?

Written in Go, single-binary deployment... there's a lot to love about NATS !

[1]https://nats.io/

require nats.io

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/

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.

Take a look at: https://github.com/ThreeDotsLabs/wild-workouts-go-ddd-exampl...

(I’m one of the authors.)

This project shows how to apply more complex patterns popular in business applications while staying true to the Go ideas, and not copying them blindly from Java.

In the Go community, you’ll often hear people say „just keep things simple” beats all patterns and is all you need. This may be true if you write a CLI tool or a small library, but if you have a team maintaining a big application, some patterns are super helpful.

Here is a reference implementation by the same authors of the blog post you referenced: https://github.com/ThreeDotsLabs/wild-workouts-go-ddd-example/tree/master/internal/trainer.

In this case I recommend Three Dots Labs blog and Ardan Labs courses and blog posts.

As a rather new developer, I'm ashamed to admit that I struggle with this. I've seen the Dave Cheney writeup about it and I agree with your reasoning, but sometimes I end up in situations like this, where they wrote a server utility, put it into the common package and imported it into the services that need it. The issue I have is the organization of it all because the folder structure seems to make a clear separation of the core services from the utility package. If you have any ideas or tips to help avoid it, that'd be awesome!

Clean architecture is not tied to some specific paradigm. It's a way of thinking about programs that is common to almost every mature developer. Many developers use it without even knowing the name - they just came to it by themselves through many tries and errors. There is a good free book about using it in Go, called Go with the Domain if you interested.

Wild Workouts should match your needs: https://github.com/ThreeDotsLabs/wild-workouts-go-ddd-example

For Event-Driven / DDD / Microservice projects, take a look at this Github org https://github.com/ThreeDotsLabs and their blog detailing the techniques used https://threedots.tech .

Nice job at taking a stab at DDD in Go! You may want to check out https://github.com/ThreeDotsLabs/wild-workouts-go-ddd-example for some inspiration and learning around DDD and Go.