lipgloss VS NATS

I recommend looking at the charm libraries. Lip gloss https://github.com/charmbracelet/lipgloss can provide the styling and bubble tea can handle the screen updates and framework https://github.com/charmbracelet/bubbletea there is a premade progress bar component in bubbles library. https://github.com/charmbracelet/bubbles

I saw https://github.com/charmbracelet/lipgloss and was wondering if there is anything equivalent in the JVM ecosystem. I couldn't find anything so I started crawling its deps tree and reimplementing to fall asleep at night.

nhooyr/websocket, shollz/pake, charmbracelet/bubbles, charmbracelet/bubbletea, charmbracelet/lipgloss, muesli/reflow, klauspost/pgzip and many, many more.

Off the top of my head i am thinking of charmbracelet/lipgloss but I don't know if its the best suited to my use case.

Or, quit worrying about how to fix every utility ever, and just make a nice-looking ZFS TUI with "Are you sure?" boxes and progress bars, using Lip Gloss. That kind of thinking has led to about 50 offshoots of the top utility. (Nothing wrong with that. Long may they all run!)

Predefined colors for lipgloss

Yes i've seen the centered text. Take a look at lipglossif you don't mind adding dependencies, they make the styling much more easier in my opinion.

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.