Apache JMeter is a Java-based, open source testing tool, which can help you create and run functional and load tests for Websites, APIs (REST and SOAP) and other web services. Let me show you my personal configuration and how I start and configure JMeter for a faster and better use on my local machine.

Software Testing is hard. It involves hard work and dedication in learning the product, but also a huge attention to detail. A Software Testing Engineer is the link between the Development Team and the Product Manager/Owner and other stakeholders. The Software Engineer in Test (SDET) should be well aware of the ins and outs of the product, its integrations with other services/products, the strong and weak parts from a high level down to the code base.

Hits per second represents the number of requests sent to the server in one second (the load which the server is being hit). Hits per second is the total load set by the concurrent virtual users on the server, no matter if they are executed successfully or not on the server side. The number of requests executed successfully by the server per unit of time is called throughput.

An easy way to monitor the speed and rendering of your website, also how fast your website or any of the web pages on your website is to use the Website Performance Monitoring Service from LoadFocus. Why does this matter? Well, first of all you want your website to appear in search engines like Google in the first results. The speed of your websites and other metrics matter a lot on how search engines position your web pages in the search results.

With our newly released White Labelled Reports for performance tests, you can now print the PDF reports in multiple languages. This applies to our load testing cloud tool and also for load tests using JMeter test scripts.

In order to learn how to test your APIs, especially how to load test your APIs, let’s first find out some essential info on APIs and RESTful APIs.

Standard Deviation is an important metric in performance testing analysis and informs us how stable the application under test is. In other words, it tells us if the requests that occur during the test are consistent or not. Standard Deviation measures how the response times are spread out around the average response time (mean). A small standard deviation means that the response time of all the requests are close to each other.