Why scalability testing

Namely The time taken for screen transition to occur. Response Time. The per-second rates of transactions, requests and hits. The time factors for rebooting, session times, transaction time, printing time, task execution times, etc. The number of users for performance measurement. Response and requests rate per second for the webserver. Test Strategy The Test Strategy depends on how to perform scalability testing, many parameters and the application under test.

The prerequisites are Memory — One will need to compute how much memory will be used by the load test master and the virtual user agent. Capability for Load Distribution — One should check if the load test tool can be controlled from a central hub and whether it enables multiple machines to load the system.

Scalability testing Vs Load testing Scalability and load testing are different tests in the scalability vs load testing rundown.

Request callback. Sign up using any of the below options. Sign in with Facebook. Sign in with Google. The purpose of Scalability testing is to ensure that the system can handle projected increase in user traffic, data volume, transaction counts frequency, etc.

It tests system ability to meet the growing needs. It is also referred to as performance testing, as such, it is focused on the behavior of the application when deployed to a larger system or tested under excess load.

In Software Engineering, Scalability Testing is to measure at what point the application stops scaling and identify the reason behind it.

Test Strategy for Scalability Testing differ in terms of the type of application is being tested. If an application accesses a database, testing parameters will be testing the size of the database in relation to the number of users and so on.

Before you actually create the tests, develop a detailed test plan. It is an important step to ensure that the test conforms as per the application requirement.

Its main objective is to test the performance of an application under various loads rather than testing the point of response failure of an application. As discussed above, Scalability testing is done to check the performance of an application at different workloads. In order to perform Scalability testing, the following steps are followed by using any scalability testing tool available in the market. The tool used for scalability testing depends on the application the user wants to test.

Though there are a lot of scalability testing tools available in the market and that too open source. Some of the tools are mentioned below:.

There is no classification of best and worst tools available in the market for Scalability testing. Every tool provides its own special features to test the scalability of an application but every organization has certain criteria and environmental factors of an application also affect while choosing any tool to test an application.

Testers need a test tool which can handle load factor under various scenarios created. Throughput is defined as a number of requests processed per unit time.

However, for different applications, the definition of throughput may vary and is tested in a different way. For example, for a web application, throughput is tested by verifying the number of user-requested processed in a unit time whereas, in case of a database, throughput is measured by the number of queries processed at a time.

Memory Usage is also tested in order to get the best results of memory consumption for an application. In Memory Usage, the amount of memory used on performing any task in an application is tested. Because on performing any task, a memory of RAM is used which should be optimized for the smooth running of any application.

For less use of memory, good programming practices should be followed by programmers like less use of redundant loops, reduce hits to a database, handling maximum validations at the client-side only, etc. Many times, an application runs out of memory due to a large number of requests, so developers should always keep extra database to handle such situations.

For less CPU Usage and more throughput, the code of any web application written in any programming language should be properly optimized. Avoiding the programming practices like dead and redundant code, Threads, unnecessary loops should be avoided by developers to reduce CPU Utilization.

Sleep is the best method that should be used to minimize the usage of CPU in between. In-Network Usage, the amount of bandwidth consumed in performing a particular task in an application is tested. Network Usage is measured by the bytes, segments, packets received or sent per second over the network. For an ideal application to give the best results, network usage should be minimum. Various congestion techniques are used by the programmers to reduce the network consumption and high performance of an application.