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Memphis.dev Cloud Performance and Load Testing

DZone

This article presents the most recent Memphis.dev Cloud, multi-region benchmark tests conducted in December 2023, explores how to carry out performance testing, detailing hands-on methods you can apply yourself, and provides recent benchmark data for your reference. The benchmark tool we used can be found here.

Cloud 280
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Performance Testing Using Iter8

DZone

There are umpteen performance testing tools available in the commercial market as well as in the open-source repositories. Recently, Go-based performance testing tools are exploding in the open-source world. Based on our requirements, we can choose the best tool from the arsenal.

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Salesforce Performance Testing: A Comprehensive Guide

DZone

Salesforce is a powerful cloud-based platform that is used by businesses of all sizes to manage their customer relationships, sales, marketing, and other operations. One of the most important aspects of optimizing Salesforce is performance testing.

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Performance Optimization for Multi-Layered Cloud Native AWS Application

DZone

Cloud-native application development in AWS often requires complex, layered architecture with synchronous and asynchronous interactions between multiple components, e.g., API Gateway, Microservices, Serverless Functions, and system of record integration.

AWS 273
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The Future of Performance Testing

Alex Podelko

Following up my post Are Times still Good for Load Testing? , While there are still quite a lot of cases where it is still applicable, it needs to evolve into more sophisticated processes tightly integrated with development and other parts of performance engineering. I decided to answer multiple comments here separately.

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Using Selenium, Docker, and Cloud for Performance Testing

DZone

Growing up in performance engineering in the last decade, it was almost impossible to think of simulating load using a real browser because a performance engineer would need a lot of machines to simulate load using a real browser.

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How Dynatrace empowers performance engineering teams to test at scale

Dynatrace

As organizations develop more applications and microservices, they are discovering they also need to run more performance tests in the same amount of time or less to meet service-level objectives (SLOs) that fulfill service-level agreements (SLAs). How can organizations address this process bottleneck and run more tests in less time?