autocannon
fast HTTP/1.1 benchmarking tool written in Node.js (by mcollina)
lambda-sourcemaps
By elthrasher
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autocannon | lambda-sourcemaps | |
---|---|---|
14 | 1 | |
7,586 | 2 | |
- | - | |
6.5 | 0.0 | |
3 days ago | over 2 years ago | |
JavaScript | TypeScript | |
MIT License | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
autocannon
Posts with mentions or reviews of autocannon.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-10-19.
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Optimize Your Node.js API with Clustering, Load Testing, and Advanced Caching
Autocannon GitHub Repository
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Taming the dragon: using llnode to debug your Node.js application
To make things interesting, let’s send some requests to this server with autocannon:
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Benchmarking Deno vs Node with GraphQL
Using autocannon, I did the following script to simulate 500 concurrent connections over 30 seconds:
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A first look at Bun: is it really 3x faster than Node.js and Deno?
We then used autocannon to measure the throughput (requests per second) of each runtime server-rendering our React app.
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Can we use Pydantic models (Basemodel) directly inside model.predict using FastAPI, if not why?
You could also use tools like autocannon to see how many requests/second you can achieve with various methods. : https://github.com/mcollina/autocannon
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How to Use Source Maps in TypeScript Lambda Functions (with Benchmarks)
I used autocannon to test the function at 100 concurrent executions for 30 seconds. I also used Lambda Power Tuning to find the ideal memory configuration, which proved to be 512MB. All the results are available.
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Find bottlenecks in Node.js apps with Clinic Flame
Moreover, if your blocking issue is appearing only on heavy load, you can easily test it using the very nice --autocannon CLI param (see it with clinic flame --help) where you can specificy autocannon options to generate some HTTP load on your web service.
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Created a URL shortener in Node (Fastify) and in Go (net/http). Why isn't Go faster?
I packaged them both with Docker and deployed them to an EC2 instance, each behind an Nginx reverse proxy I setup in docker-compose. I'm currently testing performance using autocannon from my laptop like this: `autocannon -a 5000 -w 10 URL` (5000 requests with 10 workers), and both apps complete in around 40 seconds. The EC2 instance is in Oregon and I'm testing from Toronto.
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DB query performance options.
You can test it by yourself using console.time(). You can use autocannon to stress-test your http server to see what is really the best options.
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Experiments in concurrency 3: Event loops
When I test this with autocannon making three simultaneous requests (autocannon --connections 3 --amount 3 --timeout 10000 --no-progress http://localhost:5678/):
lambda-sourcemaps
Posts with mentions or reviews of lambda-sourcemaps.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-01-24.
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How to Use Source Maps in TypeScript Lambda Functions (with Benchmarks)
All example code is available on GitHub.
What are some alternatives?
When comparing autocannon and lambda-sourcemaps you can also consider the following projects:
node-clinic - Clinic.js diagnoses your Node.js performance issues
aws-sam-cli - CLI tool to build, test, debug, and deploy Serverless applications using AWS SAM
octane - Supercharge your Laravel application's performance.
aws-lambda-builders - Python library to compile, build & package AWS Lambda functions for several runtimes & framework
serverless-graphql - Serverless GraphQL Examples for AWS AppSync and Apollo
esbuild - An extremely fast bundler for the web
Swoole - 🚀 Coroutine-based concurrency library for PHP
node-source-map-support - Adds source map support to node.js (for stack traces)
React - Event-driven, non-blocking I/O with PHP.
FlameGraph - Stack trace visualizer
autocannon vs node-clinic
lambda-sourcemaps vs aws-sam-cli
autocannon vs octane
lambda-sourcemaps vs aws-lambda-builders
autocannon vs serverless-graphql
lambda-sourcemaps vs esbuild
autocannon vs aws-sam-cli
lambda-sourcemaps vs serverless-graphql
autocannon vs Swoole
lambda-sourcemaps vs node-source-map-support
autocannon vs React
autocannon vs FlameGraph