Dynatrace

SEPTEMBER 15, 2020

Supported technologies include cloud services, big data, databases, OS, containers, and application runtimes like the JVM. performance test) when the application reaches a stable throughput without violating response time constraints.

Performance 260

Performance Java Metrics Cloud 260

Testsigma

MAY 26, 2021

In today’s world where ‘data is the new oil’ ( as said by Clive Humby), not giving proper attention to data-driven testing is not justified. If you have an application that needs data input in some form then it will require data-driven testing. Scenario 1: Tabular data . Scenario 2: Data Arrays.

Testing 70

Testing Healthcare Performance Testing Website 70

Testsigma

SEPTEMBER 8, 2021

If I consider current times, it has become a core concept in development, management, analytics, and also – automation testing. Cloud-based automation testing is a simple concept. We leverage cloud resources to accomplish our automation testing goals in the project. If not, it is recommended to go through this post first.

Cloud 76

Cloud Testing AWS Testing Tools 76

Testsigma

MAY 14, 2021

Cloud-based testing has become quite integral these days. Most businesses have already done the shift towards cloud-based testing. The traditional testing that was done on the software installed on local servers is now slowly fading away. Cloud-based testing comprises cloud-based test automation as well.

Cloud 67

Cloud Testing Testing Tools Internet 67

Alex Podelko

DECEMBER 19, 2019

Boris has unique expertise in that area – especially in Big Data applications. Performance is not only about response time by Henrik Rexed, Neotys. – Henrik will discuss today’s load testing challenges – and Neotys is at the forefront in this area. by Stefano Doni, Akamas.

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

Highly Scalable

JUNE 5, 2012

However, it was interesting to evaluate performance of alternative approaches. In this article I describe several useful techniques that are based on SSE instructions and provide results of performance testing for Lucene, Java, and C implementations. Performance testing was done on the ordinary Linux desktop with 2.8GHz cores.

C++ 102

C++ Java Performance Testing Efficiency 102

Highly Scalable

JANUARY 31, 2012

Each Mapper runs simulation for specified amount of data which is 1/Nth of the required sampling and emit error rate. Applications: Physical and Engineering Simulations, Numerical Analysis, Performance Testing. Reducer computes average error rate.

C++ 144

C++ Network Ecommerce Processing 144