Common examples for performance SLAs include homepage load times, webpage response times, transaction durations (e.g., account login, search, and payment times).The overall objective is to identify the ‘safety zone’ of the system and keep it there as much as possible.Capacity Testing helps determine the extent to which it can be stretched without hurting end user experience. This is crucial business data. It is well known that 40% of users will abandon a site if it takes more than 3 seconds to load.Just a one second delay can cause small to medium sized eCommerce websites to bleed over $250,000 annually. Whether it is system or application software, the modern organization needs to know its performance data, as a sales tool and also to create quality benchmarks to improve long-term planning for maximum business profit.Knowing the application limitations can motivate the organization to improve development processes and deploy a more powerful infrastructure if needed. There should be no performance drop during peak times. This matrix calculation is only possible with Capacity Testing, which helps determine the number of users that can use the system with the optimal user-experience (performance) under different user cases and scenarios.