Solution Briefs

Continuous Testing in the Cloud

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Solution Brief Digital.ai | Continuous testing in the cloud Continuous testing in the cloud: Eliminating barriers to enterprise remote workforce with Digital.ai Introduction The acceleration of dispersed, remote working groups has resulted in a negative impact on productivity, team efficiency, and ultimately organizations' ability to execute on key offerings. The key to transitioning to a successful cloud-centric ecosystem lies in enterprises' ability to remotely provide an exceptional user experience to customers. In addition, organizational leaders must enable their QA and testing teams to maintain a desired level of output as they adjust to new norms. Customer demand has not decreased and businesses are embracing new processes and technologies focused on continuous testing to ensure they are consistently meeting customer needs — without compromising the quality of their offering. Top five factors to consider: • The vast shift towards WFH (work from home)/ remote team dynamics has resulted in strained collaboration and communication, as well as extended feedback loops across the entire SDLC (systems development life cycle) from business leadership to testing and QA. • QA and testing teams are faced with the challenge of balancing process execution and new initiatives. As working groups adapt to process changes, enterprises are focused on business continuity and accelerating new digital initiatives. • Manual testing is not as effective for modern enterprises, as the demand for continuous quality increases. • Delayed testing feedback results in significant setbacks with product deployments, as development teams receive test results late in the software development and delivery process. • Distributed teams are faced with delivery bottlenecks as they collaborate on testing while utilizing disjointed platforms. Deploying Digital.ai Continuous Testing What enterprises have come to realize is that continuous delivery is impossible without continuous testing. As a result, more organizations than ever are moving to a continuous testing model, where testing is performed early as part of the CI/CD pipeline. Digital.ai Continuous Testing, formerly Experitest, enables its customers to deliver repeatable and error- free digital user experiences at-speed and scale. However, performance testing is not yet integrated throughout organizational testing cycles, by and large. Unfortunately, in many cases, it is still performed at a late stage, prior to deployment. This results in issues being identified very late in the SDLC — when the cost and time of fixing them are much higher. As a key component of the Digital.ai Value Stream Management Platform, Digital.ai Continuous Testing helps organizations accelerate testing cycles and ensure the fast release of high-quality applications. Providing essential teams with immediate test feedback empowers them to find and fix defects earlier in the development cycle. Not only does this create greater efficiency amongst teams but it also decreases the likelihood of deployment delays.

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