Hey
HTTP load generator, ApacheBench (ab) replacement (by rakyll)
Vegeta
HTTP load testing tool and library. It's over 9000! (by tsenart)
Hey | Vegeta | |
---|---|---|
42 | 41 | |
18,413 | 23,819 | |
1.0% | 0.7% | |
0.0 | 5.1 | |
5 months ago | 3 months ago | |
Go | Go | |
Apache License 2.0 | 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.
Hey
Posts with mentions or reviews of Hey.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2025-01-15.
- [Bahasa] Tracer: Open Telemetry, Golang, and Jagger Simple Implementation
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Amazon DevOps Guru for the Serverless applications - Part 12 Anomaly detection on Lambda consuming from DynamoDB Streams
We can reproduce the failure with curl or hey tool, so that we have many failed UpdateProduct Lambda functions.
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Amazon DevOps Guru for the Serverless applications - Part 11 Anomaly detection on SNS (kind of)
Then I sent several hundreds create product requests via the hey tool like :
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Amazon DevOps Guru for the Serverless applications - Part 10 Anomaly detection on Aurora Serverless v2
As in the previous article we use hey tool to perform the load test like this
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AWS SnapStart - Part 19 Measuring cold starts and deployment time with Java 17 using different Lambda memory settings
The results of the experiment below were based on reproducing approximately 100 cold starts for the duration of our experiment which ran for approximately 1 hour. For it (and all experiments from my previous articles) I used the load test tool hey, but you can use whatever tool you want, like Serverless-artillery or Postman
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Data API for Amazon Aurora Serverless v2 with AWS SDK for Java - Part 5 Basic cold and warm starts measurements
The results of the experiment to retrieve the existing product from the database by its id see GetProductByIdViaAuroraServerlessV2DataApiHandler with Lambda function with 1024 MB memory setting were based on reproducing more than 100 cold and approximately 10.000 warm starts with experiment which ran for approximately 1 hour. For it (and experiments from my previous article) I used the load test tool hey, but you can use whatever tool you want, like Serverless-artillery or Postman. We won't enable SnapStart on the Lambda function first.
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AWS SnapStart - Part 15 Measuring cold and warm starts with Java 21 using different synchronous HTTP clients
The results of the experiment below were based on reproducing more than 100 cold and approximately 100.000 warm starts with experiment which ran for approximately 1 hour. For it (and experiments from my previous article) I used the load test tool hey, but you can use whatever tool you want, like Serverless-artillery or Postman. I ran all these experiments for all 3 scenarios using 2 different compilation options in template.yaml each:
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AWS SnapStart - Part 13 Measuring warm starts with Java 21 using different Lambda memory settings
In our experiment we'll re-use the application introduced in part 9 for this. There are basically 2 Lambda functions which both respond to the API Gateway requests and retrieve product by id received from the API Gateway from DynamoDB. One Lambda function GetProductByIdWithPureJava21Lambda can be used with and without SnapStart and the second one GetProductByIdWithPureJava21LambdaAndPriming uses SnapStart and DynamoDB request invocation priming. We'll measure cold and warm starts using the following memory settings in MBs : 256, 512, 768, 1024, 1536 and 2048. I also put the cold starts measured in the part 12 into the tables to see both cold and warm starts in one place. The results of the experiment below were based on reproducing more than 100 cold and approximately 100.000 warm starts for the duration of our experiment which ran for approximately 1 hour. Here is the code for the sample application. For it (and experiments from my previous article) I used the load test tool hey, but you can use whatever tool you want, like Serverless-artillery or Postman. Abbreviation c is for the cold start and w is for the warm start.
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Diagnósticos usando dotnet-monitor + prometheus + grafana
Por último, podemos executar os testes de carga usando hey.
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Amazon DevOps Guru for the Serverless applications - Part 2 Setting up the Sample Application for the Anomaly Detection
For running our experiments to provoke anomalies we'll use the stress test tool. You can use the tool of your choice (like Gatling, JMeter, Fiddler or Artillery), I personally prefer to use the tool hey as it is easy to use and similar to curl. On Linux this tool can be installed by executing
Vegeta
Posts with mentions or reviews of Vegeta.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-02-26.
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Netlify just sent me a $104K bill for a simple static site
Vegeta worth a look if you want something a bit more sophisticated: https://github.com/tsenart/vegeta
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Under Pressure: Benchmarking Node.js on a Single-Core EC2
There are tons of tools to do this, I'll use Vegeta
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Deep-dive into Vegeta - HTTP load testing tool and library
To install vegeta, grab the right download url from https://github.com/tsenart/vegeta/releases/tag/v12.11.1 and download using the below command.
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Set Up Tracing for a Node.js Application on AppSignal
One of the easiest ways to send lots of fabricated requests at the same time is to use the Vegeta load testing tool. Being a load testing tool, it can send lots of requests consistently, every second, to the given target URL. You can read more about Vegeta on GitHub. The binary can be downloaded and used without installation.
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What tools you use for http load testing?
Good morning what tool do you use to test your infra in terms of http load ? A tool that works, I tested : - https://github.com/tsenart/vegeta but it returns 0 errors or a http_net error from Golang - LOIC (Low Orbit Ion Canon) https://github.com/NewEraCracker/LOIC but the requests do not appear in my nginx logs and I feel no slowdown - Apache Jmeter https://jmeter.apache.org/ but I can't drop my infra and I have Java socket closed errors - K6 https://k6.io/ but I can't bring down my infra with - wrk https://github.com/wg/wrk no matter what parameter I put it doesn't make enough requests per second, I put the same parameters as on a tutorial and I don't get the same result...
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How does one answer performance related questions such as these for a web API?
I use tools like vegeta and wrk2 to answer those questions.
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Why use internal package and main package in the same module?
A module can be an executable and a library at the same time. For example, https://github.com/tsenart/vegeta
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Where to learn more as I scale up?
Some tools to investigate: * https://prometheus.io/ * https://github.com/tsenart/vegeta
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How to learn system performance as a beginner?
No, not at all. You just need a tool like Vegeta.
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How to Deploy and Scale Strapi on a Kubernetes Cluster 1/2
vegeta v12.8.4
What are some alternatives?
When comparing Hey and Vegeta you can also consider the following projects:
k6 - A modern load testing tool, using Go and JavaScript - https://k6.io
bombardier - Fast cross-platform HTTP benchmarking tool written in Go
Apache JMeter - Apache JMeter open-source load testing tool for analyzing and measuring the performance of a variety of services
anteon - Anteon (formerly Ddosify) - Effortless Kubernetes Monitoring and Performance Testing. Available on CLI, Self-Hosted, and Cloud
grpcurl - Like cURL, but for gRPC: Command-line tool for interacting with gRPC servers
Gatling - Modern Load Testing as Code
siege - Siege is an http load tester and benchmarking utility
Wide
script - Making it easy to write shell-like scripts in Go