Grinder load testing tool

It supports multiple protocols. It provides support for distributed load testing. In this article, readers will learn how to install and set up The Grinder, as well as record a test, modify it and start running the test. Installation I am using a Windows environment to install The Grinder version 3. You can run The Grinder on a Linux environment as well. The set-up is not much different for a Linux environment, the only differences being in the shell scripts and installation directory.

First check whether Java is installed on the machine. If not, please download and install Java from Oracle. Then follow the steps given below. Download The Grinder from Sourceforge.

Download the binary distribution, if you are planning to extend The Grinder, and then download the source distribution.

Download Jython2. After downloading it, either run Java with the -jar option, as shown below:. Add grinder. The Grinder has been successfully installed on your computer. You can check it by running The Grinder console. To do so, enter the following command in The Grinder directory:.

Creating a test To start with performance testing, we need to have a test. The Grinder comes with a TCP proxy tool. It is a proxy process that can be placed between a server and browser. It records the request and response between a server and browser, and sends the results to a terminal window. I used Mozilla Firefox as a proxy server. Setting the proxy: To set the TCP proxy, follow these steps. Open the Firefox menu and click on the Options tab.

In the Options window click on the Advanced icon. Select the Network tab. In the Connection section, click on the Settings button. In fact, load testing one of the most misunderstood parts of performance testing, and there are many load testing best practices you should be aware of before even using one of the tools listed below.

Here are is our comprehensive list of the top open-source and FREE performance load testing tools you can use for your load and stress testing performance engineering efforts. Below are some options that include a tool comparison to help you make your decision on what tool to use for your application performance efforts in This list only includes open source and free options for the top load testing tools for automated performance testing and API load tests, so you can just download and get started right away without spending a dime.

Apache JMeter describes itself as a Java application that was designed specifically for load testing with the ability to measure application performance and response times. It's a thick client Java app that's largely driven by right clicks. It's a little weird, but it's got a lot of power. Also, all the features a professional load tester wants are available on JMeter.

It currently has 5. For instance, JMeter can be a bit difficult to scale for a large distributed test; especially if you have to set up a bunch of machines since you have to configure them to talk to each other. There is also a host of orchestrating problems in executing large JMeter tests. While not technically a load testing tool Taurus acts more like a wrapper on top of other solutions that hides the complexity of running performance tests.

You can actually describe a full-blown script in about ten lines of text, which gives teams the ability to describe their tests in a YAML or JSON file. The YAML is a human, readable, edible approach that enables you to describe a test in a simple text file. This is a big leap forward from the old days of having to bring up a big, heavy vendor-specific record and scripting tool for load time measuring.

It currently has 1. Locust is a simple-to-use, distributed, user load testing tool that can help you capture response times.

Where tools like jMeter are based upon, a thread-based architecture that consumes a lot of resources. Locust uses an event-based approach that uses fewer resources. The BDD syntax popularized by Cucumber is language-neutral, and easy for even non-programmers. Assertions and HTML reports are built-in, and you can run tests in parallel for speed.

Siege is an open source regression test and benchmark utility. It can stress test a single URL with a user defined number of simulated users, or it can read many URLs into memory and stress them simultaneously.

The program reports the total number of hits recorded, bytes transferred, response time, concurrency, and return status. Its features are configurable on a per user basis. Tsung is an open-source multi-protocol distributed load testing tool. You can use it to do load and stress testing of your servers. Many protocols have been implemented and tested, and it can be easily extended. In short about: This is an npm package to display statistics about your web pages, information such as CSS resources count, Google PageSpeed Insights score, information on how to fix performance issues, HTML errors and more in one custom web page.

The Grinder is a load testing framework that makes it easy to run a distributed test using many load injector machines. Test scripts are written in Jython, and can call out to arbitrary Java code, providing support for testing a large range of network protocols. It uses the Accessibility libraries to poke through the application's user interface. We strive to help in building a quality desktop. The load test can be written manually or can be generated through the TCP proxy provided with The Grinder.

Starting the TCP proxy to generate the load case could be done through yet another batch file:. The Grinder remains a simple tool to set up and start testing web applications under heavy load. Running Windows Performance Monitor in parallel allows correlating the number of requests per second RPS with underlying performance counters.

I would recommend The Grinder to developers who would like to ensure that their web applications respond well under stress before handing them to more experimented testers knowing the in-and-outs of more sophisticated testing tools. The source code for this post is available from github. Configuration On my desktop, I have created a folder called grinder. Starting the console is done using startConsole.