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4 Reasons Why Performance Engineering Is Vital for your Business

4 Reasons Why Performance Engineering Is Vital For Your Business

 Performance engineering is about much more than just ensuring software functionality.

As modern technologies have continued to advance along with customer expectations, developing successful software programs and applications now means much more than just writing bug-free code. There is now a much higher demand for user-friendly and scalable interfaces that perform well right from their launch. Performance engineering makes addressing these needs much more efficient for software development teams.

Performance engineering gives teams more flexibility to optimize their software performance while automating many development processes. With a concentrated focus on application performance and UX design through all stages of development, performance engineering can ensure quality and stability during integration while significantly improving an organization’s bottom line.

Here are four main reasons why performance engineering is vital for your application, and ultimately, your business.

Ensures stable and reliant UX

Performance engineering is essentially a number of questions and answers through all stages of software development that helps you measure the speed, stability, and scalability of your project. These Q&As can be likened to the same processes used to stress test physical products in a manufacturing process, confirming that they perform as intended. In a software development environment, performance testing allows you to simulate production loads, user traffic, and network responsiveness to ensure that the UX of your product is optimized efficiently.

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Reduced system and hardware costs

Because performance engineering tests for software inefficiencies early on in the development process, it can dramatically impact your organization’s bottom line. When your software development team tests product performance at each stage of the planning and execution process, they will be able to identify an optimal approach for design. This then removes the need for any additional technology investments and reduces overall project costs. Regular performance checking also reduces operational overhead and requires fewer resources to manage.

Early detection of product performance issues

During the early stages of development, it’s important to have due diligence in all areas to reduce the likelihood of performance issues over time. Performance engineering helps to identify potential bottlenecks in your software along with poor scalability issues well before you deploy your finished product. In some instances, it may be necessary to invest in new hardware solutions to help support the integrity of your design. By utilizing performance engineering to identify the hardware constraints you currently have, you can ensure you have the proper infrastructure in place, including adequate disk space, memory, network configurations, and CPU capabilities.

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Creates sustainability in dynamic digital landscapes

In today’s dynamic digital landscape, being able to build sustainable, scalable applications is essential. Performance engineers create virtual testing environments that allow you to test the long-term viability of your software. Once a series of tests have been completed, testing reports can be generated to provide valuable insights for business stakeholders to make better-informed decisions. They can also help you develop a design roadmap and create timelines to help you meet all of the short and long-term goals of your projects.

Performance engineering can help provide you with high return on investments with your software development projects. Not only does performance engineering help you optimize the efficiency of finished products, but it gives you the insight you need to provide scalable and user-friendly UX designs for your customers.

About Perficient Latin America

Perficient Latin America Corp. delivers high-quality software outsourcing solutions by mastering advanced processes and technologies, such as big data, machine learning, and DevOps, among others. The company’s reliable nearshore model, coupled with its top-tier, extensively trained software engineers, allows for efficient agile iterations and continuous experimentation.

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