hey

Pros of Bombardier

• Supports more protocols (HTTP/1.1, HTTP/2, HTTPS)
• Offers more detailed statistics and percentiles
• Allows for custom headers and request body

Cons of Bombardier

• Less user-friendly command-line interface
• Fewer built-in output formats compared to Hey

Code Comparison

Hey:

hey -n 1000 -c 100 https://example.com/

Bombardier:

bombardier -c 100 -n 1000 https://example.com/

Both tools use similar command-line syntax for basic benchmarking. However, Bombardier offers more advanced options for customizing requests:

bombardier -H "X-Custom-Header: Value" -m POST -b '{"key": "value"}' https://example.com/api

Hey and Bombardier are both HTTP load testing tools written in Go. Hey focuses on simplicity and ease of use, while Bombardier provides more advanced features and customization options. Hey is better suited for quick, straightforward benchmarks, whereas Bombardier is more appropriate for complex testing scenarios requiring detailed control over requests and comprehensive result analysis.

Pros of Vegeta

• More flexible attack configuration with custom headers, body, and HTTP methods
• Supports multiple output formats (text, JSON, Histogram)
• Offers a library for programmatic usage in Go applications

Cons of Vegeta

• Steeper learning curve due to more complex command-line options
• Lacks built-in support for HTTP/2 (requires manual configuration)
• May be overkill for simple load testing scenarios

Code Comparison

Hey:

hey -n 1000 -c 100 https://example.com

Vegeta:

echo "GET https://example.com" | vegeta attack -duration=30s -rate=100 | vegeta report

Both tools are powerful HTTP load testing utilities, but they cater to slightly different use cases. Hey is more straightforward and easier to use for quick benchmarks, while Vegeta offers greater flexibility and customization options for more complex load testing scenarios.

Hey excels in simplicity and ease of use, making it ideal for developers who need quick performance insights. It also has built-in support for HTTP/2, which is a significant advantage for modern web applications.

Vegeta, on the other hand, provides more advanced features and customization options, making it suitable for more complex load testing requirements. Its ability to be used as a library in Go applications is particularly useful for integrating load testing into existing workflows or continuous integration pipelines.

Pros of wrk

• Written in C, potentially offering better performance for high-concurrency scenarios
• Supports Lua scripting for more complex benchmarking scenarios
• More mature project with a longer history and larger community

Cons of wrk

• Less user-friendly for beginners due to its command-line interface
• Limited built-in reporting options compared to hey's more detailed output
• Requires compilation, which may be less convenient for quick installations

Code Comparison

wrk example:

wrk -t12 -c400 -d30s http://localhost:8080/index.html

hey example:

hey -n 10000 -c 100 http://localhost:8080/index.html

Both tools offer similar basic functionality for HTTP benchmarking, but wrk's syntax is more concise while hey provides more intuitive command-line flags. hey is written in Go, making it more portable and easier to install on various platforms. wrk offers more advanced features through Lua scripting, while hey focuses on simplicity and ease of use. Overall, hey is better suited for quick, straightforward benchmarks, while wrk excels in more complex, high-performance testing scenarios.

Pros of Locust

• More feature-rich with a web-based UI for real-time monitoring and control
• Supports distributed load testing across multiple machines
• Allows for complex user behavior simulation using Python scripts

Cons of Locust

• Steeper learning curve due to its Python-based scripting approach
• Potentially slower execution compared to Hey's Go implementation
• Requires more setup and configuration for complex scenarios

Code Comparison

Hey:

hey -n 1000 -c 100 https://example.com

Locust:

from locust import HttpUser, task, between

class MyUser(HttpUser):
    wait_time = between(1, 3)
    
    @task
    def my_task(self):
        self.client.get("/")

Hey is a simple command-line tool for quick HTTP load testing, while Locust offers a more comprehensive framework for creating complex load testing scenarios. Hey excels in simplicity and ease of use, making it ideal for quick tests. Locust, on the other hand, provides greater flexibility and scalability, but requires more setup and knowledge of Python. The choice between the two depends on the specific requirements of your load testing needs.

Pros of JMeter

• More comprehensive and feature-rich, offering a wide range of testing capabilities
• Supports distributed testing for large-scale performance evaluations
• Provides a GUI for test plan creation and result analysis

Cons of JMeter

• Steeper learning curve due to its complexity and extensive features
• Requires more system resources, especially for large-scale tests
• Setup and configuration can be time-consuming compared to simpler tools

Code Comparison

Hey:

http.Get(url)

JMeter:

<HTTPSamplerProxy guiclass="HttpTestSampleGui" testclass="HTTPSamplerProxy" testname="HTTP Request">
  <stringProp name="HTTPSampler.path">${url}</stringProp>
  <stringProp name="HTTPSampler.method">GET</stringProp>
</HTTPSamplerProxy>

Summary

JMeter is a more powerful and versatile tool for performance testing, offering a wide range of features and capabilities. However, this comes at the cost of increased complexity and resource requirements. Hey, on the other hand, is a simpler and more lightweight option, making it easier to use for quick benchmarks and load tests. The choice between the two depends on the specific testing needs and the scale of the project.

Pros of Fortio

• More comprehensive feature set, including support for gRPC and WebSocket protocols
• Built-in web UI for real-time monitoring and result visualization
• Supports custom payloads and headers for more complex testing scenarios

Cons of Fortio

• Steeper learning curve due to more advanced features
• Larger codebase, potentially making it harder to contribute or customize
• May be overkill for simple HTTP load testing needs

Code Comparison

Hey:

http.NewRequest("GET", url, nil)

Fortio:

http.NewRequest("GET", url, bytes.NewReader(payload))

Both tools use Go's http.NewRequest function, but Fortio allows for custom payloads, providing more flexibility in request construction.

Summary

Fortio offers a more feature-rich load testing experience with support for various protocols and a built-in UI. However, this comes at the cost of increased complexity. Hey, on the other hand, provides a simpler, more straightforward approach to HTTP load testing, making it easier to use for basic scenarios but potentially limiting for more advanced use cases.