devops

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Ensuring that each new release delivers a positive user experience is now more critical than ever. But with cloud-native apps, microservices, and other compartmentalized elements, an application involves many highly distributed components, and a performance issue in any of them could have a ripple effect across the entire application. Now that new functionality is being released weekly, daily, or even hourly, each team needs instant insight into whether their incremental changes could negatively affect performance. However, legacy performance testing approaches are too late, too heavy, and too slow, and the later you start load testing, the more difficult, time-consuming, and costly it is to debug and resolve performance problems. Developers and testers need a way to expose critical performance issues earlier in the delivery pipeline. Kevin will show you how this is being accomplished in high-performing organizations.

DevOps teams struggle to ensure quality in multiple daily deployments. Traditional testing approaches have often failed in this context, but there are exciting new ways to test. Laurent Py and Vincent Prêtre will explain how, at Hiptest, DevOps teams combine behavior-driven development (BDD) techniques with business metrics analysis to continuously assert the quality of their product. BDD scenarios align teams to a common goal, and users provide feedback to ensure their needs are met. The team transforms usage scenarios into tests that enable developers to deliver the functionality expected, and product analytics are collected to ensure that the functionality is valuable to users. Analytics data is then used to learn how the new feature impacts the user experience. Laurent and Vincent will explain how this approach reduces siloed communication and combines scenarios and data in living documentation.

“Fail fast and fail often” is a key tenet of DevOps. It places great emphasis on continuous testing to deliver software with confidence and ensure a positive user experience. As teams embrace the “shift left” methodology, they need to transform the traditional approach that relegates performance testing to later stages of the delivery process. By shifting the performance testing left and conducting it continuously, teams can quickly detect and gain insight into software performance degradations earlier in the lifecycle. Gajan Pathmanathan will discuss the transition a team needs to undergo in order to put performance testing at the top of their priorities. He'll explain three prominent open source performance testing tools, JMeter, Locust, and Taurus, and discuss how they work with Jenkins for rapid and continuous performance feedback.