Alan Shimel: Hey, everyone, welcome to another DevOps Unbound. If this is your first time catching a DevOps Unbound,
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Alan: Hey everyone. Welcome to another edition of Devops Unbound. Devops Unbound is a biweekly video
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Low-code development has become increasingly popular since the onset of the COVID-19 pandemic in 2020. Low-code technologies allow organizations to build and customize fully responsive, easy-to-deploy applications with little to no coding. It accelerates digital transformation and empowers citizens developers. In this episode of DevOps Unbound, hosts Alan Shimel and Mitch Ashley are joined by Derya Sousa (Kianda), Andrew Manby (HCL) and Brian ven den Blink (Valori) to discuss the benefits of low code and how it is transforming software development. The video is below and a transcript of the conversation follows.
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Artificial intelligence (AI) and machine learning (ML) help improve the performance of DevOps teams by automating repetitive tasks and eliminating inefficiencies across the SDLC. By using AI, teams can test, code and check software faster and more efficiently. In this episode of DevOps Unbound, Brian Dawson, Judith Hurwitz, Alan Shimel and Mitch Ashley discuss how AI and ML are transforming DevOps and what new use cases await AI and ML in 2021 and beyond.
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Although everyone has their own definition of DevOps, it all comes down to creating better software faster, empowering development and operations teams and delivering value to customers. However, there really isn’t a standard approach to DevOps.
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In this episode of DevOps Unbound, hosts Alan Shimel and Mitch Ashley are joined by Helen Beal of the DevOps Institute, Viktoria Praschl of Tricentis, Frank Ohlhorst, principal analyst with Accelerated Strategies Group and Alex Hidalgo of Nobl9 to discuss how to use DevOps metrics effectively to improve delivery performance and help teams become high-performing with a culture of continuous improvement. The video is below and a transcript of the conversation follows.
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DevOps has changed the game in almost every aspect of testing: who, what, when, where and even why. What’s working, what needs to change immediately, and what challenges—and opportunities—lie ahead?
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