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Serverless AWS Lambda function to handle Authentication & Rate limit for Spark my SAAS, written in Rust.

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src		src
.env		.env
.gitignore		.gitignore
Cargo.lock		Cargo.lock
Cargo.toml		Cargo.toml
README.md		README.md

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A Lambda function to authenticate and rate limit the incomming user request's according to their respective subscriptions in the background without increasing the overall latency for my new Real time SAAS Spark.

Spark will have 3 plans viz:

Hobby (Free): 100 Daily Requests
Priority: 5000 Daily Requests
Enterprize: Infinite Daily Requests ( Not planned lmao 😅 )

However after running a few benchmark tests I was disappointed. Rust lambda's are not that fast & efficient.

Processing Each request took around 2s each that's indeed fast for what I am doing but I still felt that it could be more fast, so I researched and found that: Lambda's have some issues with Tokio Async Runtime.

Solution

I re-wrote it in Go & now each request takes around 800ms 🚀🤘 https://github.com/Axnjr/authLambdaGo

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Serverless AWS Lambda function to handle Authentication & Rate limit for Spark my SAAS, written in Rust.

api rust aws authentication aws-lambda serverless background-jobs authorization rust-lang db rate-limit rate-limiter background-service cargo-lambda rust-on-aws

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