From Reactive to Proactive: Predicting and Optimizing Performance for Competitive Advantage

In today’s world, performance is the most important attribute that every living and non-living thing must possess to succeed. For a software product to meet its users’ performance expectations and requirements, performance prediction is critical. Software products are expected to perform well, and if they do not, it can result in user dissatisfaction, negative reviews, and lost revenue. The prediction of performance can be helpful to developers in identifying potential performance issues and optimizing the software product to meet user expectations. It can be time consuming and costly to resolve performance issues after the release of a product. Over the long term, the ability to predict performance can result in time and cost savings by detecting critical performance issues beforehand in the development process. The workload of software products must be able to scale as they grow, and more users use them. Performance is a key differentiator in today’s competitive software market. It is possible to gain a significant competitive advantage by providing a product that performs better than its competitors. The performance of a product needs to be predicted and optimized before it goes to market. Using robotic process automation, we will predict the performance of an application and identify bottlenecks, which can then be optimized.