autocannon
llnode
autocannon | llnode | |
---|---|---|
14 | 2 | |
7,586 | 1,140 | |
- | 0.5% | |
6.5 | 0.0 | |
3 days ago | 2 months ago | |
JavaScript | C++ | |
MIT License | GNU General Public License v3.0 or later |
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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, 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/):
llnode
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Taming the dragon: using llnode to debug your Node.js application
The result shows us that there's an array holding a lot (156027) of objects, and is probably the reason we have so many Visit objects in memory (spoiler: it is, look at line 13 and 16 of our server). Unfortunately, llnode can't tell where this array is located yet, but there's an open issue to add this feature in the future.
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Introducing KoolKits - OSS Debugging Toolkits for Kubernetes
Node.js KoolKit – llnode, thetool support
What are some alternatives?
node-clinic - Clinic.js diagnoses your Node.js performance issues
swagger-stats - API Observability. Trace API calls and Monitor API performance, health and usage statistics in Node.js Microservices.
octane - Supercharge your Laravel application's performance.
devtool - [OBSOLETE] runs Node.js programs through Chromium DevTools
serverless-graphql - Serverless GraphQL Examples for AWS AppSync and Apollo
0x - 🔥 single-command flamegraph profiling 🔥
aws-sam-cli - CLI tool to build, test, debug, and deploy Serverless applications using AWS SAM
njsTrace - A Node.js tracing and instrumentation utility
lambda-sourcemaps
why-is-node-running - Node is running but you don't know why? why-is-node-running is here to help you.
Swoole - 🚀 Coroutine-based concurrency library for PHP
locus - Locus is a debugging module for node.js