NATS
plane
NATS | plane | |
---|---|---|
106 | 23 | |
14,766 | 1,583 | |
1.1% | 2.0% | |
9.8 | 9.4 | |
7 days ago | 1 day ago | |
Go | Rust | |
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.
plane
- Plane: A distributed system for running WebSocket services at scale
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Pingora: HTTP Server and Proxy Library, in Rust, by Cloudflare, Released
One reason I'm excited about this is that it appears to let you write arbitrary routing logic into a layer 7 proxy. This is something we had to build for https://plane.dev and it would have been nicer to use something like this, but we couldn't find anything like it at the time.
- Plane: A distributed system for running stateful WebSocket services at scale
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"VMWare rewritten in Rust
Of course, as a user, I would prefer as much as possible to be under MIT or Apache. See for instance https://plane.dev/ for a similar project which is MIT licensed and https://jamsocket.com/ for the commercial version.
- Session back end orchestrator for ambitious browser-based apps
- Plane – open-source Jira alternative
- Plane: A container orchestrator for ambitious browser-based applications
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The growing pains of database architecture
From an earlier blog post[1], the system for synchronizing file/document state lives independently for their database. As I understand it, their database is for metadata rather than actual document content.
> It’s worth noting that we only use multiplayer for syncing changes to Figma documents. We also sync changes to a lot of other data (comments, users, teams, projects, etc.) but that is stored in Postgres, not our multiplayer system, and is synced with clients using a completely separate system that won’t be discussed in this article. Although these two systems are similar, they have separate implementations because of different tradeoffs around certain properties such as performance, offline availability, and security.
This post[2] goes into more detail on how they spin up backend processes to serve as the source of truth while documents are open (we took heavy inspiration from it when building https://plane.dev, which aims to be an open-source implementation of that architecture.)
[1] https://www.figma.com/blog/how-figmas-multiplayer-technology...
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Show HN: Accelerated Docker builds on your local machine with Depot (YC W23)
We have been happily using Depot for months now to build https://plane.dev. Prior to finding Depot, we basically gave up on building an M1 image from a GitHub action.
(btw, I always get suspicious when a Show HN post has a lot of praise in the comments, but I swear the Depot folks did not ask me to post anything and I only saw the post because I was checking HN)
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Launch HN: Depot (YC W23) – Fast Docker Images in the Cloud
Congrats on the launch!
We've been using Depot with Plane (https://plane.dev/). Prior to depot, I had to disable arm64 builds because they slowed the build down so much (30m+) on GitHub's machines. With Depot, we get arm64 and amd64 images in ~2m.
What are some alternatives?
RabbitMQ - Open source RabbitMQ: core server and tier 1 (built-in) plugins
Centrifugo - Scalable real-time messaging server in a language-agnostic way. Self-hosted alternative to Pubnub, Pusher, Ably. Set up once and forever.
celery - Distributed Task Queue (development branch)
pingora - A library for building fast, reliable and evolvable network services.
redpanda - Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!
aper - A Rust data structure library built on state machines.
ZeroMQ - ZeroMQ core engine in C++, implements ZMTP/3.1
nix2container - An archive-less dockerTools.buildImage implementation
Apache ActiveMQ - Mirror of Apache ActiveMQ
cli - 🖥️ Depot CLI, build your Docker images in the cloud
nsq - A realtime distributed messaging platform
statebox_riak - Convenience library that makes it easier to use statebox with riak, extracted from best practices in our production code at Mochi Media.