validator
rupy
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validator
- Choosing the Right Rust Web Framework: An Overview
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Is implicit typing in Rust always guaranteed to have the same behavior?
(That's how certain kinds of extensibility work in the validator crate. You just impl a method and validator won't care where it comes from as long as it's in scope because it's built using declarative macros.)
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Incomprehensible Performance Issues unraveled with Kubernetes Tracing Tools
The rust proc macro system is my absolute favorite feature of the language. One of my other favorite libraries is https://github.com/Keats/validator
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garde: a validation library
Hi! I'm happy to announce the release of garde. In summary, this is a rewrite of the validator crate.
- Why use Rust on the back end?
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Form Validation in Rust (Actix-Web)
Validator : Macros 1.1 custom derive to simplify struct validation inspired by marshmallow and Django validators
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Any active open source repos built using Rust that need development ?
https://github.com/Keats/validator needs some help, it's a validation library that easily plugs into Web Development.
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Is it possible to get both vector and string from single variable with serde_yaml?
(The validate attribute is from the validator crate.)
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venial 0.1 - A lightweight alternative to syn
Would love to use it in https://github.com/Keats/validator when it's ready!
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Show /r/rust: a Rust implementation of the Realworld demo app spec using Axum and SQLx, written by a co-author of SQLx.
Actually, /u/mehcode just reminded me that this exists: https://github.com/Keats/validator
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
What are some alternatives?
axum - Ergonomic and modular web framework built with Tokio, Tower, and Hyper
huproxy
strictyaml - Type-safe YAML parser and validator.
cmdg - Command line Gmail client
realworld-axum-sqlx - A Rust implementation of the Realworld demo app spec using Axum and SQLx.
Nullboard - Nullboard is a minimalist kanban board, focused on compactness and readability.
PyO3 - Rust bindings for the Python interpreter
cakephp-swagger-bake - Automatically generate OpenAPI, Swagger, and Redoc documentation from your existing CakePHP code.
null - Nullable Go types that can be marshalled/unmarshalled to/from JSON.
dbmate - :rocket: A lightweight, framework-agnostic database migration tool.
mirrord - Connect your local process and your cloud environment, and run local code in cloud conditions.
Aerospike - Aerospike Database Server – flash-optimized, in-memory, nosql database