|  9734935762 | ||
|---|---|---|
| docker/bench | ||
| .woodpecker.yml | ||
| README.md | ||
| docker-compose.production.yml | ||
| docker-compose.staging.yml | ||
		
			
				
				README.md
			
		
		
			
			
		
	
	bench plugin
Docker Run
Run the Docker image using the docker run command. I'll provide examples for different scenarios:
- 
Testing a Single URL: docker run -e TARGET_URLS="http://example.com" -e MAX_TIME=1 -e VARIANCE=2 -e TEST_MODE="report" git.nixc.us/colin/bench:production
- 
Testing Multiple URLs: docker run -e TARGET_URLS="http://example.com,http://example2.com" -e MAX_TIME=1 -e VARIANCE=2 -e TEST_MODE="report" git.nixc.us/colin/bench:production
- 
Using Fail-Fast Mode: docker run -e TARGET_URLS="http://example.com" -e MAX_TIME=1 -e VARIANCE=2 -e TEST_MODE="fail-fast" git.nixc.us/colin/bench:production
Docker Compose
Example docker-compose.yml file that sets up the same configuration:
version: '3'
services:
  apachebench:
    image: git.nixc.us/colin/bench:production
    environment:
      TARGET_URLS: "http://example.com,http://example2.com" # Comma-separated list of URLs
      MAX_TIME: 1 # Maximum acceptable response time
      VARIANCE: 2 # Acceptable time variance
      TEST_MODE: "report" # Can be "report" or "fail-fast"
      NUM_REQUESTS: 500 # Number of requests to perform
      CONCURRENCY: 20 # Number of multiple requests to make at a time
Run the service defined in the docker-compose.yml file, use:
docker-compose up
Customizing the Configuration
You can modify the TARGET_URLS, MAX_TIME, VARIANCE, and TEST_MODE environment variables to suit your specific testing needs. Here's what each variable represents:
- TARGET_URLS: A comma-separated list of URLs to test.
- MAX_TIME: The target maximum response time in seconds.
- VARIANCE: The acceptable variance in response time in seconds.
- TEST_MODE: The mode of operation, either- reportto test all URLs regardless of individual results, or- fail-fastto stop testing as soon as a URL fails the performance criteria.
This setup allows you to run performance tests in a Docker environment, providing an automated way to benchmark and analyze the performance of various web services.