The biggest challenge or dream for any organization is to deliver error-free software applications to their customers at the promised time. In spite of several attempts to achieve this dream, organizations still fail to meet their customer expectations due to many reasons. An adequate reason for this failure can be the issues in Performance Testing that occur during the quality verification of the application. Nevertheless, how can performance issues fail these expectations? Not every approach is meant to be capable enough to address the challenges that arise while developing software applications that are far ahead in the future. Performance Testing is no exception to that fact. The set of expectations put forth by the customers is a myriad that makes it difficult for Performance Testing to handle.
Performance Engineering in a Nutshell
Performance Engineering (PE) can be defined as an understanding of how all the parts in a system fit together and scale in performance from the beginning. Performance Engineering allows the basic elements and building blocks to be put in place early in the Software Development Life Cycle. Performance Engineering approaches align properly with agile methodologies by implementing the ‘Shift-left’ strategies to address the performance issues and requirements since the beginning. The decoupling system involved in the PE method helps in identifying the slowest component and optimizing the overall system performance. Eventually, the development/testing teams can perceive the change is providing better performance.
It is not possible for developers to come up with error-free codes and that is why PE helps in ensuring that the code they commit performs as well as possible. During PE implementation, the codes undergo performance testing to ensure that all commits work optimally together. Performance Engineering is a more comprehensive approach to optimization than just conducting simple load tests at the end of the development phase.
Frequently Faced Challenges
Today’s digital customers are overwhelmed with an infinite number of choices. User experience is the ultimate metric and it is every organization’s wish to achieve maximum customer satisfaction. No matter how hard we try to provide or offer the best service to our customers, there are so many other competitors, who are ready to offer the same. Often, they are capable of promising a better, quicker and seamless experience to the customers. There are many frequently faced challenges that make it difficult to compete with other organizations in the market. The following are some of the major challenges that development and testing teams face often during software testing that Performance Engineering can resolve.
Before getting into the details, let us decipher the term. Scalability is the ability of any business to grow or improve based on the needs and demands of the customers in the market. A business can be scalable only if it can manage to keep up with the fast pace the market demands. One of the major challenges organizations face while trying to automate testing of any software application with many dependent services is scalability. Organizations strive hard to build software applications that can handle the enormous workload ahead while trying to avoid any costly glitches and constant updates. However, their attempts to add and manage a newly added service or code can get very difficult and the possibility of occurrences of error is high. Most of the time when an application scales up, it inevitably runs into complexities. This can eventually lead to the failure of functional error detection in the initial stages of testing and delivering applications with defects to the end-users.
Another challenge for the software is to be reliable with the latest technologies and tools in the market used. A possibility for this could be because of the size and complexity growth of applications that need adequate reliability. Before being delivered to the end-user, organizations try to ensure the reliability of the application, critical functionalities and minimum significant impact on performance after merging new features. However, when the number of users and resources, the physical distance between resources grows, and the administrative overhead of a system grows and changes in size, the system tends to slow down or become less performant. An application is prone to fail with the surge in loads or a large volume of transactions. Imagine a large number of users using an application like Facebook or a browser like Google Chrome at the same time, which can impact the application or browser easily. With more customers using the application to the maximum, bugs and incompatibilities appear all the time. In short, more users lead to more bugs, which leave the testing teams with very little time to fix the issues.
Software testing is an imperative task for developing the perfect application and it is essential to have certain skills, which will help with testing the applications better and easier. Unfortunately, many organizations and testers still have a tough time finding the right software tester because of the lack of the required skill set. Learning is a constant process that improves the skillset and capability of the testers, but not everyone tries to be updated. It is obsolete to believe that only the developers should have knowledge of programming or coding. The testers need to have the programming knowledge to understand and test the application better. A basic idea of the code will give them an edge while identifying and rectifying errors, which will eventually speed up the testing process and quality of the final product. It also decreases the possibilities of further bugs and inefficiency. However, not all organizations have well-trained teams to develop and test applications to be more efficient.
Performance Engineering as an Aid
With Performance Engineering, software applications can be scalable, accommodate growth, provide a good user experience for the end-users, and enhance ROI for the organization. This is possible by implementing Performance Engineering that understands every part of the system and builds performance from design to deployment. Our approaches include Shift-Left Testing, Continuous Performance Testing, Capacity Planning, Performance Benchmarking, Performance Monitoring, and Framework Design. Also, we provide a tailored framework, focusing on functional testing that helped several CIOs to deliver quality results in no time. Using Performance Engineering, we enhance customer value while boosting return on technology investment.
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