exhibitor VS NATS

TL;DR: A React front-end component workshop, a simple version of Storybook.

So around 5 months ago, I needed a tool to preview front-end (React) components whilst I create them for a personal project of mine. There were two options: Storybook or Ladle.

Storybook is the tool everybody knows. I've used it before quite a lot. It's very big, full-fat, supports loads of use-cases, etc.

Ladle comes out of Uber. It's very small, lean, and doesn't support that much. After trying it out for a while, it just gives me a feeling like it's a 20% project to learn some new tech.

So I realised that I wanted something kind of in the middle. Something that's a bit more customizable than Ladle, but something much simpler and less intrusive than Storybook.

This led me to create Exhibitor (https://github.com/samhuk/exhibitor) (https://demo.exhibitor.dev).

I worked on it on-and-off for a couple months, and it ended up being something that I'm quite proud of. It's not perfect, and supports only a fraction of what Storybook does, however for a tool made by 1 engineer vs the 20+ for Storybook, I'm quite happy about it!

Exhibitor, a snappy & delightful React component workshop, is GA. My aim is for Exhibitor to be an extremely fast, easy to use, and delightful tool for creating front-end component libraries.

It's been around 2 months since my last mention and quite a tonne has changed.

Wiki: https://github.com/samhuk/exhibitor/wiki

Looks interesting. Coincidentally, I've just completed the bulk of work on a distributed Websocket network system to synchronize certain bits of state between multiple clients for my own kind of Storybook tool [0]. How interesting!

This kind of tool is exactly what I would have needed, instead of the approach I've taken which is a bit kludgy, grass-roots, novice-like, etc.

Good work :)

[0] https://github.com/samhuk/exhibitor/pull/22

I was a bit deflated when my submission about https://github.com/samhuk/exhibitor fell through the HN floor-boards.

Think Storybook but simpler, faster, better Typescript support, and uses esbuild by default.

...Is the aim. I'm the sole lead dev working on it at the moment up against the ~10-20 strong team who built most of Storybook, so it's a long road ahead, but it's growing into something I'm quite proud of and happy about.

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.

--

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.