Cloud Based Load Testing – The Best Practices.

best-practices-of-using-cloud-based-load-testing-toolsCloud based load testing enables testing teams to conduct more efficient and realistic large-scale tests. It also enables organizations to significantly save costs and time. While all the cloud load testing solutions enable the use of the cloud technology in some way, very few enable to follow the best practices of cloud usage and leverage on the cloud based load testing services.

The following points need to be accounted for while considering a solution for a cloud load testing solution:

  • Integration with the Cloud Platform: Load Testing tools that offer integration with the cloud, simplify and accelerate the steps needed to use the cloud infrastructure. Most solutions offer different levels of integration with multiple cloud platforms.
  • Realistic tests: Simply moving to the cloud does not ensure the most realistic tests. Real users generally have access to a lesser bandwidth than a load generator in the cloud data center. While choosing a cloud load testing tool, the bandwidth simulation feature needs to be considered. This ensures that the virtual users are able to download the content of the web application at a realistic rate. This feature proves very important while testing mobile applications, as they operate at a lesser bandwidth than laptops and desktops.

Also, it is important to look for those tools, which helps to consider requests. Without addressing  requests it is not possible to produce truly realistic performance tests for web applications.

Unified Lab Testing and Cloud Testing: It is a disadvantage to use only lab testing or cloud testing. A single solution that supports both lab testing and cloud testing enables engineers to reuse scripts for both kinds of tests. This saves time and effort. Also, this makes it possible to find and fix performance problems earlier in the lifecycle by verifying it internally before the system is made available via the Internet. Reusing scripts also help in uncovering performance problems that show up in cloud testing, but not during internal testing.

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