Ensuring that your website can handle high traffic loads is crucial for maintaining performance and reliability. Whether you’re hosting your application on a VPS server or managing a high-performance infrastructure with a dedicated server, load testing helps identify potential bottlenecks and optimize resources. Siege is a popular command-line tool that allows you to perform HTTP load testing efficiently.
Siege is an open-source load testing tool designed to evaluate the performance and stability of web servers under stress. It enables users to send multiple concurrent requests to a web application and measure response times, failures, and throughput.
Siege can be installed on various operating systems. Below are installation steps for common environments:
sudo apt update
sudo apt install siege
sudo yum install epel-release
sudo yum install siege
brew install siege
Once installed, you can start load testing using simple commands. The following example sends 50 concurrent requests to a website for 30 seconds:
siege -c50 -t30S https://example.com
To test multiple URLs, create a text file (e.g., urls.txt) and add the list of URLs:
https://example.com/page1
https://example.com/page2
https://example.com/page3
Then, run the test with:
siege -f urls.txt -c50 -t1M
If your site requires authentication, you can include credentials in the command:
siege -c10 -t1M --header="Authorization: Basic dXNlcm5hbWU6cGFzc3dvcmQ=" https://example.com
After executing a Siege test, you will receive a summary of results:
Siege is more than just a command-line utility — it’s a vital part of any developer’s or sysadmin’s performance testing toolkit. In today’s fast-paced digital environment, where downtime and slow load times directly translate to lost users and revenue, proactive stress testing is no longer optional — it’s essential.
Whether you’re running your application on a VPS, a bare-metal dedicated server, or in a cloud-native stack, Siege helps you simulate realistic load conditions and pinpoint weaknesses before your users do. It allows you to:
Benchmark application responsiveness under varying levels of traffic
Discover resource bottlenecks before launch or scaling
Validate the stability of caching mechanisms, database queries, and backend logic
Make informed infrastructure decisions based on actual load behavior