autocannon
v8.dev
autocannon | v8.dev | |
---|---|---|
14 | 72 | |
7,586 | 915 | |
- | 1.3% | |
6.5 | 7.8 | |
3 days ago | 14 days ago | |
JavaScript | JavaScript | |
MIT License | Apache License 2.0 |
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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
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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, letβs 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/):
v8.dev
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Show HN: Invertornot.com β API to enhance your images in dark-mode
Semi-related - I saw this trick on https://v8.dev a while back, but `filter: hue-rotate(180deg) invert();` can be a neat CSS trick to 'dark mode' some kinds of graphics. The `hue-rotate` help a bit to keep 'blues blue' etc.
It's far from perfect, but it's a neat trick to be aware of.
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Top 8 Recent V8 Updates
V8 is a high-performance JavaScript engine developed by Google. Its purpose is to convert JavaScript code into machine code for execution by the underlying hardware. Primarily developed by the V8 team at Google, the engine focuses on speed and efficiency. In particular, it relies on just-in-time compilation and uses inline caching for high performance.
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A list of JavaScript engines, runtimes, interpreters
V8
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C++ Specification vs Implementation
Exactly the same as JavaScript engines. Be it Mozilla's SpiderMoneky, Google's V8, Apple's Webkit, or Microsoft's Chakra. No matter how specific we draft a specification there is always room for interpretation. Every team has a different take on what part of a spec is describing. Oftentimes it's just a matter of varying pros and cons of different approaches on the road to matching spec; various teams just kind of have to pick a direction and run with it. Other times a spec is not only too vague, but clearly short-sighted to boot.
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Abstract Syntax Trees and Practical Applications in JavaScript
Remember that we earlier established that every source gets parsed into an AST at some point before it gets compiled or interpreted. For example, platforms like Nodejs and chromium-based browsers use Gooogle's V8 engine behind the scenes to run JavaScript and of course, some AST parsing is always involved before the interpreter kicks in. I looked V8's source and I discovered it uses its own internal parser to achieve this.
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Bun vs Node.js: Everything you need to know
While Node.js uses Google's V8 engine that power's Chrome browser, Bun uses JavaScriptCore (JSC), which is an open source JavaScript engine developed by Apple for Safari.
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The Ascent of Node.js: How a runtime changed the Web
While the idea of server-side JavaScript was not novel, what powered Node.js was! The V8 engine, birthed by Google for Chrome, was now driving Node.js, bringing unparalleled speed and performance to JavaScript execution.
- A Magia do Event Loop
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Embracing Modern JavaScript Features in ES13 ES2022
V8 JavaScript Engine
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Introduction to memory management in Node.js applications
Node runs on the V8 JavaScript engine, which handles memory allocation. The entirety of memory used for a running Node application is held in what is known as a Resident Set. This includes:
What are some alternatives?
node-clinic - Clinic.js diagnoses your Node.js performance issues
babel-sublime - Syntax definitions for ES6 JavaScript with React JSX extensions.
octane - Supercharge your Laravel application's performance.
hermes - A JavaScript engine optimized for running React Native.
serverless-graphql - Serverless GraphQL Examples for AWS AppSync and Apollo
bun - Incredibly fast JavaScript runtime, bundler, test runner, and package manager β all in one
aws-sam-cli - CLI tool to build, test, debug, and deploy Serverless applications using AWS SAM
vercel - Develop. Preview. Ship.
lambda-sourcemaps
libuv - Cross-platform asynchronous I/O
Swoole - π Coroutine-based concurrency library for PHP
0.30000000000000004 - Floating Point Math Examples