aws-lambda-rust-runtime VS FrameworkBenchmarks

I've been writing more and more about the benefits of Rust and Lambda quite a bit lately and I plan to take advantage of them in this customizer. Additionally, I've leveraged the Lambda Runtime project that includes data structures for the Lambda Events that I'll encounter while working with these payloads.

The Lambda Rust Runtime project bridges that gap between SDK support and enhanced developer experience. Now this code IS flagged as experimental as it is subject to change. Didn't I just say above that I don't like experimental software in production? For something like a critical SDK into AWS, yes. But for something that is mostly data structures and working with different Lambda events, I don't have an issue. I'm comfortable with recommending builders look into this repository. I've also been fortunate to contribute to it and believe that the libraries included will make builder's lives easier. End of the day, if the experimental piece is a hold-up, a Lambda with Rust will be fine without it.

If you are building Rust applications that are deployed in Lambdas, it's well worth your time to check out this AWS project. And nestled inside that repository is a Lambda Events crate that helps with the serde/deserde of different payloads to be encountered when running Lambdas.

Feel free to take look at the GitHub repo and ask any questions you have there, we're always happy to help in what we can: https://github.com/awslabs/aws-lambda-rust-runtime

Rust on Lambda's using containers as the deployment artifact are also very good, i'd say a perfect match. Low artifact size, low cpu+memory usage, fast execution. I think AWS must be using increasingly using Rust on Lambda internally from the talks I've seen them publish and the work gone in to https://github.com/awslabs/aws-lambda-rust-runtime.

For simple REST API's there's not much extra effort in using Rust once you are familiar.

Check out the official AWS Lambda Rust project https://github.com/awslabs/aws-lambda-rust-runtime. It has a bunch of examples and we’ll designed. I got up and running knowing minimal Rust very quickly.

The official https://github.com/awslabs/aws-lambda-rust-runtime seems well architected.

Hi, maybe check out https://github.com/awslabs/aws-lambda-rust-runtime there's some examples in there.. But essentially you can build a Lambda function and deploy to your AWS account with this toolset.

use aws_lambda_events::apigw::{ ApiGatewayCustomAuthorizerRequestTypeRequest, ApiGatewayCustomAuthorizerResponse, ApiGatewayCustomAuthorizerPolicy, IamPolicyStatement, }; use lambda_runtime::{run, service_fn, Error, LambdaEvent}; use serde_json::json; #[tokio::main] async fn main() -> Result<(), Error> { tracing_subscriber::fmt() .with_ansi(false) .without_time() .with_max_level(tracing_subscriber::filter::LevelFilter::INFO) .init(); run(service_fn(function_handler)).await } pub async fn function_handler(event: LambdaEvent) -> Result { // do something with the event payload let method_arn = event.payload.method_arn.unwrap(); // for example we could use the authorization header if let Some(token) = event.payload.headers.get("authorization") { // do something with the token // my custom logic return Ok(custom_authorizer_response( "ALLOW", "some_principal", &method_arn, )); } Ok(custom_authorizer_response( &"DENY".to_string(), "", &method_arn)) } pub fn custom_authorizer_response(effect: &str, principal: &str, method_arn: &str) -> ApiGatewayCustomAuthorizerResponse { let stmt = IamPolicyStatement { action: vec!["execute-api:Invoke".to_string()], resource: vec![method_arn.to_owned()], effect: Some(effect.to_owned()), }; let policy = ApiGatewayCustomAuthorizerPolicy { version: Some("2012-10-17".to_string()), statement: vec![stmt], }; ApiGatewayCustomAuthorizerResponse { principal_id: Some(principal.to_owned()), policy_document: policy, context: json!({ "email": principal }), // https://github.com/awslabs/aws-lambda-rust-runtime/discussions/548 usage_identifier_key: None, } }

FYI, there’s an offical rust “runtime” in the works: https://github.com/awslabs/aws-lambda-rust-runtime

Neat. Thanks for sharing!

Interestingly, may-minihttp is faring very well in the TechEmpower benchmark [1], for whatever those benchmarks are worth. The code is also surprisingly straightforward [2].

[1] https://www.techempower.com/benchmarks/

[2] https://github.com/TechEmpower/FrameworkBenchmarks/blob/mast...

ntex was formed after a schism in actix-web and Rust safety/unsafety, with ntex allowing more unsafe code for better performance.

ntex is at the top of the TechEmpower benchmarks, although those benchmarks are not apples-to-apples since each uses its own tricks: https://www.techempower.com/benchmarks/#hw=ph&test=fortune&s...

Ruby is slow. Very slow. How much you may ask? https://www.techempower.com/benchmarks/#hw=ph&test=fortune&s... fastest Ruby entry is at 272th place. Sure, top entries tend to have questionable benchmark-golfing implementations, but it gives you a good primer on the overhead imposed by Ruby.

It is also not early 00s anymore, when you pick an interpreted language, you are not getting "better productivity and tooling". In fact, most interpreted languages lag behind other major languages significantly in the form of JS/TS, Python and Ruby suffering from different woes when it comes to package management and publishing. I would say only TS/JS manages to stand apart with being tolerable, and Python sometimes too by a virtue of its popularity and the amount of information out there whenever you need to troubleshoot.

If you liked Go but felt it being a too verbose to your liking, give .NET a try. I am advocating for it here on HN mostly for fun but it is, in fact, highly underappreciated, considered unsexy and boring while it's anything but after a complete change of trajectory in the last 3-5 years. It is actually the* stack people secretly want but simply don't know about because it is bundled together with Java in the public perception.

*productive CLI tooling, high performance, works well in a really wide range of workloads from low to high level, by far the best ORM across all languages and back-end framework that is easier to work with than Node.JS while consuming 0.1x resources

Although that seems to have improved in recent years.

https://www.techempower.com/benchmarks/#hw=ph&test=json§...

RoR and whatever C++ based web backend there is count as a valid comparison in my book. But comparing the languages itself is maybe a bit off.

On a side note, you can actually compare their performance here if you’re really curious. But take it with a grain of salt since these are synthetic benchmarks.

https://www.techempower.com/benchmarks

Most benchmarks you'll find essentially have someone's thumb on the scale (intentionally or unintentionally). Most people won't know the different languages well enough to create comparable implementations and if you let different people create the implementations, cheating happens. The TechEmpower benchmarks aren't bad, but many implementations put their thumb on the scale (https://www.techempower.com/benchmarks). For example, a lot of the Go implementations avoid the GC by pre-allocating/reusing structs or allocate arrays knowing how big they need to be in advance (despite that being against the rules). At some point, it becomes "how many features have you turned off." Some Go http routers (like fasthttp and those built off it like Atreugo and Fiber) aren't actually correct and a lot of people in the Go community discourage their use, but they certainly top the benchmarks. Gin and Echo are usually the ones that are well-respected in the Go community.

There is certainly a lot of speculation in Techempower benchmarks and top entries can utilize questionable techniques like simply writing a byte array literal to output stream instead of constructing a response, or (in the past) DB query coalescing to work around inherent limitations of the DB in case of Fortunes or DB quries.

And yet, the fastest Ruby entry is at 274th place while Rails is at 427th.

https://www.techempower.com/benchmarks/#hw=ph&test=fortune&s...

oh what machine? with how many workers? doing what?

search for "node" on this page: https://www.techempower.com/benchmarks/#section=data-r21

JustJS would like a word https://www.techempower.com/benchmarks/#section=data-r20&tes...

In terms of RPS, this web service is more-or-less the fortunes benchmark in the techempower benchmarks, once the data hits the cache: https://www.techempower.com/benchmarks/#section=data-r21

Or, at least, they would be after applying optimizations to them.

In short, both of these would serve more rps than you will likely ever need on even the lowest end virtual machines. The underlying API provider will probably cut you off from querying them before you run out of RPS.