Businesses across the globe are undergoing technology-driven transformations and building robust software systems is now a key enabler for improved business performance and better results. But software developers wrestle with one important question: how to measure the success of an application development project?
Delivering well-built applications is one thing, but maintaining the performance of software, as well as tracking the metrics across the SDLC, is an entirely different and complex challenge that is putting businesses at risk.
Gaining real-time application performance testing metrics is no longer a desired goal; metrics are growing to hold an essential spot in a SDLC to understand the quality and effectiveness of performance testing. So why real-time metrics of performance testing is increasingly critical to business success?
1.Clear Visibility And Traceability Across The Testing Lifecycle
Within the complex application landscape, it is difficult to determine how a particular functionality works and how the application behaves under different user loads. Maintaining the visibility of application performance is critical, but it presents significant challenges.
Real-time metrics can provide objective information into how the software application meets the performance parameters like speed, responsiveness, scalability, and stability. The metrics can reduce the ambiguity that often surrounds complex software development and empowers testing teams to apply leading-edge practices.
2.Identify Potential Performance Issues Earlier
Measuring quality is not easy. In a typical software development lifecycle, testing teams would have used outdated methods to find and fix defects and decide when a product is ready to deploy. These strategies can provide a certain level of understanding into the application, but do not give a comprehensive insight into application performance testing. It’s ineffective and truly time-consuming.
On the other hand, obtaining performance testing metrics can help testing teams find, prevent, and fix performance vulnerabilities and give early indications of where performance bottlenecks might occur. This early detection of performance issues can help businesses spot bottlenecks and opportunities for optimization in real-time.
3.Identify Areas Of Improvement
In our fast-paced consumer world, customers have little patience for applications that load longer. Forbes reports that 47% of consumers expect a webpage to load in two seconds or less. ¹ Chances are, people will abandon a website that takes a lot of time to navigate through the features.
Improvements cannot be made unless there are measurements. Now performance testing metrics can provide better insight into the application’s capability to handle high levels of concurrent users without experiencing errors. The metrics can provide a comprehensive picture of how the application performs under the load and its response time. These metrics empower decision-makers to determine areas and features that require increased attention and quality enhancement and thus improve overall system stability.
4.Compare And Track The Progress Of The Project
Well-defined performance testing metrics can provide a seamless fabric to monitor the reliability of the application. Testing teams can track an application’s average response time, peak response time, and error rate and compare the data with multiple metrics from both the same and old test runs. It can also facilitate strategies to compare existing test run to a standard quality benchmark. These metrics can collect and define the quality of results.
This comparative capability allows enterprises to measure concurrent users, requests per second, and throughput values. Monitoring the correct performance testing parameters can also enable QA teams to meet the software quality specifications (SLA).
APTf 2.0: One-Stop Solution For Real-Time Performance Testing Metrics
Aspire Systems deploys APTf 2.0, a best-in-class performance testing framework that generates synergies into one centralized platform. The solution quantifies the performance testing metrics and clearly represents the data on highly interactive dashboards.
The solution replaces manual reporting by harnessing data and creating comprehensive dashboards to measure the efficiency of the code and understand how optimal the architecture is. The framework can proactively monitor the system and looking for abnormalities and delivers data-driven analytic reports and performance metrics.
You can discover what we have to say more on this by reading this detailed blog. You will know how you can make your application performance testing smarter; drive more effective decision-making with our automated visualization dashboards and streamlined reporting.
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