Performance Engineering

Are you looking for a service which combines two primary benefits for customers in terms of finessing system design and capacity? 

Our new Performance Engineering service advises on how to select the best technologies and configure them to design built-in efficiency and effectiveness, which can reduce business risk and create operational efficiencies in a vast range of applications and requirements. 


Fundamental aspects of system design can have a profound impact on the non-functional qualities of a system.

For example, selecting an inefficient language or development platform can build-in overheads that will mean a business is paying too much for cloud services every day that a system is in use. By making the right choices from the very beginning of system specification and design you can reduce operational costs throughout the lifetime of a system.

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machine learning and pattern recognition 

Additionally, the new Performance Engineering service uses this unique and powerful combination of Machine Learning and Pattern Recognition to manage and model solution capacity.

The algorithm behind the service is the result of years’ of research and practice and provides the ability to accurately forecast capacity requirements in a wide range of environments and settings. This can yield significant resource savings in larger deployments, including test functions, and improve efficiency across the board. 

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actionable insights

Many enterprises have historically encountered the obvious problem of under-provisioning hardware and cloud resources with the simple but inefficient tactic of over-provisioning. With Edge’s new Performance Engineering service this is no longer a risk that clients need to manage. 

By creating actionable insights from existing provisioning and capacity data, the new service can predictably and automatically manage test capacity too much tighter tolerances, removing the guesswork from test capacity provisioning. The technique can be applied to all aspects of test capacity, from predicting cloud service requirements and scheduling them at the most cost-effective time, through to accurately specifying on-premise hardware requirements.   


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performance testing combination 

Performance Engineering offers a deeper view of the testing environment, delivering an early understanding of performance, making it a powerful complement to more traditional performance testing. Performance Engineering can enable earlier and more cost-effective interventions than traditional testing processes, although it should not be viewed as a replacement.

Full solution, end-to-end load testing still brings value in terms of understanding the likely user experience. In combination with performance engineering, the traditional performance test becomes more of a one-off acceptance test rather than an expensive late phase iterative activity. The resultant benefit of this combined approach being the reduction of the overall cost of quality.

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