As low-code applications become both more widely employed and complex, it quickly becomes apparent that load testing will play a critical role in ensuring these applications perform optimally. After all, there’s often a direct correlation between performance and end user satisfaction. In the age of digital business transformation, the level of end user satisfaction also now has a direct impact on the potential revenue an organization might generate.
Load testing plays a major role in IT because slow application response times cause users to stop using an application. It’s simply not possible to justify the return on investment in an application nobody wants to use. The issue with load testing in many organizations today is that they don’t employ it until end users notice a problem. Savvier IT teams, however, proactively employ load testing to determine what levels of infrastructure will be required in the future to ensure performance as usage of an application continues to scale.
Load testing naturally plays a crucial role in identifying and solving problems whenever an application is under stress. But the truth is that if load testing tools were employed routinely, the chances of an application ever becoming stressed in the first place are greatly minimized. The most arguable important aspect of load testing is to determine what elements of the application will come under pressure as usage of that application continues to grow. Whether it’s because of an increased number of end users or high volumes of transaction, load testing tools make it possible for IT teams to know when an application is likely to reach a breaking point.
Load testing obviously plays an important role in enabling organizations to estimate the correct capacity of the underlying infrastructure to maintain current levels of application performance. Without load testing, there is a risk that organizations will either overprovision IT infrastructure in a way that waste money or, worse yet, simply don’t have enough server capacity to support the application. Load testing makes it possible for an organization to determine the precise amount of IT infrastructure resources required.
But the factors that can potentially have an adverse impact on application performance go way beyond the number of users, transactions and amount of IT infrastructure made available. For example, the amount of data that needs to be processed or application response issues can all have a significant impact.
IT teams need access to a load testing tool designed from the ground up to identify all these issues. In the case of Mansystems, our load test solution allows IT teams to fill a database with data and perform multiple simultaneous application tests. In the case where application response times are the issue, the Mansystems load testing solution makes it possible to detect issues such as incorrectly created or modified data is locking up the database. Relying on manual testing tools to discover these issues is next to impossible.
Because the load testing tool from Mansystems is specifically built for Mendix applications, the scripts used can be integrated within a load code application many times faster than conventional load testing tools that are not optimized for low-code platforms.
Our load testing solution can also be integrated within a continuous integration/continuous delivery (CI/CD) platform to, for example, create a baseline of an application that automatically surfaces what impact any new functionality being added is likely to have on the application.
Regardless of what the source of the application performance issue is, load testing solutions from Mansystems will help IT teams identify the root cause of an application performance problem long before end users ever knew it existed.
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