autocannon
serverless-graphql
autocannon | serverless-graphql | |
---|---|---|
14 | 215 | |
7,586 | 2,708 | |
- | 0.1% | |
6.5 | 0.0 | |
3 days ago | over 1 year ago | |
JavaScript | JavaScript | |
MIT License | MIT License |
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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/):
serverless-graphql
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Testing AWS Lambda Functions (Serverless Framework) with OpenTelemetry and Tracetest
Since then, the ecosystem has changed. Using the Serverless Framework makes deployment simpler. We released the managed Tracetest App making any serverless-based systems simpler to instrument and test. You can now test public-facing apps with no infra overhead!
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The 2024 Web Hosting Report
We see some great results from using these in conjunction with frameworks such as SST or Serverless, and also some real spaghetti from people who organically proliferate 100βs of functions over time and lose track of how they relate to each other or how to update them safely across time and service. Buyer beware!
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Deploy app to AWS by using Serverless Framework
When we think about AWS serverless service, the first thing that comes to our mind is Lambda function. Yes, the quickest way to deploy this backend Express JS app to AWS is to deploy it as a Lambda function. The easiest way is using Serverless Framework.
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Lambda Scheduling & Event Filtering with EventBridge using Serverless Framework
Serverless Framework: https://www.serverless.com/
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The Top 10 GitHub Repositories Making Waves ππ
Github | Website
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Instrumenting AWS Lambda functions with OpenTelemetry SDKs
In this example, we're using the serverless framework to quickly set up the Lambda function along with an API gateway for the entry point. The lambda function is a simple Koa REST API with a few functional endpoints.
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A Beginner's Guide to the Serverless Application Model (SAM)
Naturally, there are several options available to declare your cloud resources. The options with the most popularity are the CDK, AWS CloudFormation, SST, Serverless framework, Terraform, and AWS SAM. There are others, but when talking about Infrastructure as Code (IaC), these are the ones you hear about most often.
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π₯ The Best Serverless Framework in 2023: A Data-Driven Showdown for AWS Projects
1 - Serverless + AWS CDK + Lift: An integration that amps up the traditional Serverless Framework with Lift's static frontend construct and CDK's robust infra definition.
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Serverless Semantic Search, Free tier only
It's a bit easier in Python if you use tools like https://www.serverless.com/. I'm not sure if Rust has something similar yet.
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Trace-based Testing AWS Lambda with Tracetest, ECS Fargate, and Terraform
Serverless
What are some alternatives?
node-clinic - Clinic.js diagnoses your Node.js performance issues
LocalStack - π» A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
octane - Supercharge your Laravel application's performance.
Serverless-Boilerplate-Express-TypeScript - πππ Boilerplate and Starter for Serverless framework, ExpressJS, TypeScript, Prisma and MongoDB β‘οΈ Made with developer experience first: Serverless framework + Live reload + Offline support + ExpressJS + TypeScript + ESLint + Prettier + Husky + Commitlint + Lint-Staged + Jest + Dotenv + esbuild + VSCode
aws-sam-cli - CLI tool to build, test, debug, and deploy Serverless applications using AWS SAM
copilot-cli - The AWS Copilot CLI is a tool for developers to build, release and operate production ready containerized applications on AWS App Runner or Amazon ECS on AWS Fargate.
lambda-sourcemaps
terraform - Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
Swoole - π Coroutine-based concurrency library for PHP
electrodb - A DynamoDB library to ease the use of modeling complex hierarchical relationships and implementing a Single Table Design while keeping your query code readable.
React - Event-driven, non-blocking I/O with PHP.
chalice - Python Serverless Microframework for AWS