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Scalability Testing for an application is carried out where there is a prediction or plan for future up scaling or down scaling. When the software is passed through this type of testing, it is usually to observe the options for increasing or decreasing certain system features, like the volume of data, performance of the system, number of processes complete at a given time, number of users using the system at a given interval of time, etc.How Scalability Testing is Performed?
The first step is to define a repeatable process that runs throughout the application lifecycle.
Searching for any suitable software/ tool for testing the application.
Creating a good testing environment that is almost a replica of the production environment where the whole testing is performed.
Configure the hardware required to perform scalability testing.
Create various test scenarios considering different test conditions.
Run the test scenarios in the test environment created above.
Evaluate the results and observe the different graphs and charts generated for each scenario.
Take the corrective measures according to the results found of the above scenarios to enhance the performance of an application.Scalability Testing Tools
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.Scalability Testing Attributes
Below given are some of the common attributes of Scalability testing:1) Throughput
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.2) Memory Usage
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.3) CPU Usage 4) Network Usage 5) Response Time 6) Time is taken to Load a Web Page of Website Approaches of Scalability Testing
There are two approaches to Scalability testing:1) Horizontal Scaling
Horizontal Scaling involves adding more physical machines and resources and hence reducing the load on each machine/ resource. This process involves increasing the number of nodes instead of increasing the capacity, load is divided between the old and newly added resources. Horizontal scaling is referred to as scaling Out as the scaling is done in the outwards direction by increasing the resources.2) Vertical Scaling
Vertical scaling is done generally by small or mid-sized companies for the small applications where the performance can be maintained of increasing load just by increasing the capacity and size of already used resources. In vertical scaling, data resides on a single node at one place and the load is divided between the different CPUs and memory through multi-node. Vertical Scaling is comparatively difficult and is limited to a particular capacity of a machine or server. MySQL is a good example of Vertical scaling and can be achieved on switching from small to much larger machines.Advantages
It helps to determine the limitations of the web application under test in terms of either Response time, Network Usage, CPU Usage, etc.
To reduce the risk of huge loss of money and the company’s reputation because of the bad performance of an application, it is very important to do rigorous Scalability testing before releasing it in a production environment.
It uncovers the exact cause of various performance issues in an application in the testing phase only which saves a lot of time and money if detected in the production environment.
Scalability testing also helps in effective tool utilization tracking.
The testing environment is not always exactly the same as a Production environment and hence can result in various issues and different results.
Time spent on testing every single attribute of Scalability testing is sometimes very high and can cause a delay in meeting the deadlines of the project.
Sometimes tests that are actually working fine, gets failed in the testing phase due to wrong test scenarios and test scripts cause a waste of time in making unnecessary changes.
Sometimes, functional errors are left behind and cannot be identified in Scalability testing.
At times, the test window offered is very narrow in order not to disrupt business processes and hence the defects remain uncovered.Conclusion
Now almost all the companies have added Scalability testing as a part of their testing process. Scalability testing requires a separate team of professionals and tester who have complete knowledge of the system and have strong analytical skills. There is a high demand for people in the market for Scalability testing and companies are ready to offer handsome packages to professionals.Recommended Articles
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