rupy
hyper
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rupy
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Considerations for a long-running Raspberry Pi
I have been running a Raspberry 2 cluster for 10 years: http://host.rupy.se
A few weeks back the first SD card to fail got so corrupted it failed to reboot!
My key learning is use oversized cards, because then the bitcycle will wear slower!
I'm going from 32GB to 256/512/1024!
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What Kind of Asynchronous Is Right for You?
How this article does not mention SSE, comet or chunking escapes me.
What does their definition of event-driven really look like in practice.
Nobody has a clue.
Here is the ideal event driven system, it's async-to-async: https://github.com/tinspin/rupy/wiki/Fuse
The example is not working because I had to shut down the services for multiple reasons, but the high level of it is that you use 4 (potentially different) threads to do one request/response middle man transaction.
That way you have _zero_ io-wait or idling. I'm surprised nobody has copied this approach since I invented it 10 years ago. I understand why though you need your entire chain to be async and that means rewriting everything and that is a big risk when it's hard to debug.
But if you succeed you can build something that is 10x perf/watt than all other implementations. Which is going to be important when interest rates go higher and crash our entire industry.
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An unknown Swedish startup’s €3B bid to build a green rival to AWS
The hardware is peaking.
So software is where you can make the difference: http://host.rupy.se
- Sandstorm: Open-source platform for self-hosting web app
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You Want Modules, Not Microservices
I think we're all confused over the definition. Also one might understand what all the proponents are talking about better if they think about this more as a process and not some technological solution:
https://github.com/tinspin/rupy/wiki/Process
All input I have is you want your code to run on many machines, in fact you want it to run the same on all machines you need to deliver and preferably more. Vertically and horizontally at the same time, so your services only call localhost but in many separate places.
This in turn mandates a distributed database. And later you discover it has to be capable of async-to-async = no blocking ever anywhere in the whole solution.
The way I do this is I hot-deploy my applications async. to all servers in the cluster, this is what a cluster node looks like in practice (the name next to Host: is the node): http://host.rupy.se if you click "api & metrics" you'll see the services.
With this not only do you get scalability, but also redundancy and development is maintained at live coding levels.
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I wish my web server were in the corner of my room
I have hosted my own web server both physically and codevise since 2014.
It's on a Raspberry 2 cluster:
http://host.rupy.se
Since 2016 i have my own database also coded from scratch:
http://root.rupy.se
We need to implement HTTP/1.1 with less bloat, a C non-blocking web server that can share memory between threads is probably the most interesting project for humans right now, is anyone working on that?
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Ask HN: Free and open source distributed database written in C++ or C
I have one in Java: https://github.com/tinspin/rupy
Here is the 2000 lines of code of the entire database: http://root.rupy.se/code?path=/Root.java
And here you can try it out: http://root.rupy.se
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Dokku – Free Heroku Alternative
The smallest PaaS you have ever seen is one order of magnitude larger than mine: https://github.com/tinspin/rupy
And I bet you the same goes for performance, if not two!
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Server-Sent Events: the alternative to WebSockets you should be using
The data is here: http://fuse.rupy.se/about.html
Under Performance. Per watt the fuse/rupy platform completely crushes all competition because of 2 reasons:
- Event driven protocol design, averages at about 4 messages/player/second (means you cannot do spraying or headshots f.ex. which is another feature in my game design opinion).
- Java's memory model with atomic concurrency which needs a VM and GC (C++ copied that memory model in C++11, but it failed completely because they lack both VM and GC, but that model is still to this day the one C++ uses), you can read more about this here: https://github.com/tinspin/rupy/wiki
You can argue those points are bad arguments, but if you look at performance per watt with some consideration for developer friendlyness, I'm pretty sure in 100 years we will still be coding minimalist JavaSE on the server and vanilla C (compiled with C++ compiler) on the client.
- Jodd – The Unbearable Lightness of Java
hyper
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The Linux Kernel Prepares for Rust 1.77 Upgrade
> If you are equally picky and constrain yourself to parts of the ecosystem which care about binary size, you still have more options and can avoid size issues.
What's an example of this for, say, libcurl? On my system it has a tiny number of recursive dependencies, around a dozen. [0] Furthermore if I want to write a C program that uses libcurl I have to download zero bytes of data ... because it's a shared library that is already installed on my system, since so many programs already use it.
I don't really know the appropriate comparison for Rust. reqwest seems roughly comparable, but it's an HTTP client library, and not a general purpose network client like curl. Obviously curl can do a lot more. Even the list of direct dependencies for reqwest is quite long [1], and it's built on top of another http library [2] that has its own long list of dependencies, a list that includes tokio, no small library itself.
In terms of final binary size, the installed size of the curl package on my system, which includes both the command line tool and development dependencies for libcurl, is 1875.03 KiB.
[0] I'm excluding the dependency on the ca-certificates package, since this only provides the certificate chain for TLS and lots of programs rely on it.
[1] https://crates.io/crates/reqwest/0.11.24/dependencies
[2] https://crates.io/crates/hyper/0.14.28/dependencies
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json-responder 1.1: dynamic path resolution
hyper-based HTTP server generating JSON responses. Written in Rust.
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I pre-released my project "json-responder" written in Rust
tokio / hyper / toml / serde / serde_json / json5 / console
- How Turborepo is porting from Go to Rust
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Signway - a pre-signed URLs gateway written in rust, specifically designed for allowing LLM based client apps to directly query OpenAI's api securely.
Using Rust here was immensely helpful, using libraries made by the community like https://github.com/hyperium/hyper really powered up the development of Signway, so glad to see this kind of awesome crates made public. Hope that it continues to be like that despite the current controversies.
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Problem with YouTube embed thumbnail...
- Discord sends a slightly weird request by specifying content length (a bug in hyper we've not yet upgraded to fix, https://github.com/hyperium/hyper/commit/fb90d30c02d8f7cdc9a643597d5c4ca7a123f3dd)
- Hyper – A fast and correct HTTP implementation for Rust
What are some alternatives?
huproxy
reqwest - An easy and powerful Rust HTTP Client
cmdg - Command line Gmail client
tokio - A runtime for writing reliable asynchronous applications with Rust. Provides I/O, networking, scheduling, timers, ...
Nullboard - Nullboard is a minimalist kanban board, focused on compactness and readability.
Warp - Warp is a modern, Rust-based terminal with AI built in so you and your team can build great software, faster.
cakephp-swagger-bake - Automatically generate OpenAPI, Swagger, and Redoc documentation from your existing CakePHP code.
actix-web - Actix Web is a powerful, pragmatic, and extremely fast web framework for Rust.
dbmate - :rocket: A lightweight, framework-agnostic database migration tool.
Rocket - A web framework for Rust.
Aerospike - Aerospike Database Server – flash-optimized, in-memory, nosql database
curl-rust - Rust bindings to libcurl