Explore the quirks of the Rust programming language that a Python developer needs to understand to code in Rust.This book covers the following exciting features: This is where Python bindings and pip come in. However, rewriting everything in Rust can be expensive and risky as there might not be package support in Rust for the problem being solved. Rust, on the other hand, provides memory safety without using a garbage collector, which means that with its low memory footprint, you can build high-performant and secure apps relatively easily.
#Optimize rust for mac software
Python has made software development easier, but it falls short in several areas including memory management that lead to poor performance and security. Optimize Python performance by creating Python pip modules in Rust with PyO3 What is this book about?
Nevertheless, what I suggest is to do some actual measurements before deciding to migrate from an existing solution.This is the code repository for Speed Up Your Python with Rust, published by Packt. Although, I could recommend Rust for data crunching and ETL jobs, or something like image processing. In these cases, Rust may not make much of a difference performance-wise. Often, our Lambdas are IO bound, meaning we are waiting for some data from an API or we are reading/writing data to a database. While Rust is speedy if we are throwing computationally intensive tasks at it, in my experience this usually does not really happen for Lambda functions. Should I migrate my existing JavaScript/Python/Java/etc. AWS provides a supported implementation of the AWS SDK for Rust, which makes it usable in production code. I can affirm that the support and the tooling are there for Rust. Should I use Rust for my next production Lambda? Having a sub 10 ms cold start and another one above 100 ms is strange, to say at least. Moreover, the cold start for the dockerized Rust functions is all over the place. Having a cold start around 20 ms would make us think twice about the necessity of allocating reserved concurrency. The most impressive results are the cold starts for Rust. This is important since we can take advantage of containerized Lambda features without a performance penalty. Running the same function in a Docker container and without containerizing yields the same running time. Rust is fast and is faster than JavaScript if we have a computationally intensive task. I did this 3 times for each Lambda and I got the following results: I noted down the cold start duration and I let all the Lambdas rest again to make sure to encounter a cold start at the next execution as well. To do the cold start measurements, I let all the Lambdas rest and executed them afterward.
We encounter a cold start if our Lambda was not invoked recently or AWS decides to fire up another instance of our Lambda function in parallel to which is running currently. Moving on I measured the cold start of both Rust and JavaScript implementations. I got the following execution times:Ī comparison between the Rust and the JavaScript implementations: The memory usage of these executions was not varying as much:Īs a comparison, I measured the JavaScript implementation of the Unbounded Spigot Algorithm for computing the first 10k digits of PI. I repeated this 5 times, doing 5 executions in a row: REPORT RequestId: fce00bdf-f1a0-4e6d-894e-34bfb3f861ae Duration: 11079.90 ms Billed Duration: 11098 ms Memory Size: 128 MB Max Memory Used: 14 MB Init Duration: 17.95 msįield from the log statements and I put it in a table. After an execution, CloudWatch will contain an entry with the stats, for example: The results for the durations were taken from CloudWatch logs generated by each execution. function-name calculate-pi-rs-docker-arm64 \ The same Lambda was deployed with 4 types of configuration:Īll the Lambdas had 128MB of memory allocated (the smallest setup possible) Įach Lambda was invoked 5 times in a row with a custom event, which will require them to compute the first The Lambda benchmarks and measurements were done with the following setup: body("Hello AWS Lambda HTTP request".into()) Running Serverless Lambdas with Rust on AWS
0 kommentar(er)
