Performance Testing Software Software Performance Testing 
DZone
OCTOBER 9, 2023
Not another figure to look at when analyzing performance test results! Most performance tools already report a bunch of them (e.g., Actually, the Coefficient of Variation (CoV) stands out as a valuable metric to prove that your application will perform reliably under various conditions. average, min, max, percentiles.),
DZone
NOVEMBER 10, 2021
A few weeks ago, I reviewed The Hitchhiking Guide To Load Testing Projects: A Fun, Step-by-Step Walk-Through Guide by Leandro Melendez. It is good to see more books on the performance testing/engineering genre recently. One of my favorite books is The Art of Application Performance Testing series by Ian Molyneaux.
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DZone
DECEMBER 6, 2023
Performance testing stands as one of the most crucial aspects of ensuring seamless functioning of applications. As organizations strive for innovation and rapid releases, the significance of evaluating software performance throughout its lifecycle becomes increasingly paramount.
Alex Podelko
APRIL 18, 2021
MongoDB has the most advanced continuous performance testing I know about. MongoDB shared a lot of information on how we do performance testing and even open sourced some parts of it. Continuous performance testing is built on the top of Evergreen. If I missed something interesting, please let me know.]
Dynatrace
FEBRUARY 21, 2024
To remain competitive in today’s fast-paced market, organizations must not only ensure that their digital infrastructure is functioning optimally but also that software deployments and updates are delivered rapidly and consistently. They help foster confidence and consistency throughout the entire software development lifecycle (SDLC).
Kovair
JUNE 7, 2018
Before shipping a software product for customer delivery, it is very essential to check both the functional and the non-functional aspects of the application. The post Software Performance Testing Using JMeter and Kovair Omnibus appeared first on Kovair Blog.
DZone
DECEMBER 17, 2020
The complexity of analyzing the huge amounts of data that software performance tests provide. Using machine learning to solve data issues by giving meaningful insights about what happened during test execution. Relevant Links:
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