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The book explores how software development teams using Lean Software and DevOps can measure their performance and the performance of software engineering teams impacts the overall performance of an organization. [36] [14] The book discusses their research conducted as part of the DORA team for the annual State of DevOps Reports. In total, the ...
This is an accepted version of this page This is the latest accepted revision, reviewed on 31 January 2025. Integration of software development and operations DevOps is the integration and automation of the software development and information technology operations [a]. DevOps encompasses necessary tasks of software development and can lead to shortening development time and improving the ...
Nicole Forsgren is an American technology executive, IT impact expert, and author. In 2020, she was named vice president of Research & Strategy at Microsoft's GitHub [1] [2] and, more recently, Partner at Microsoft Research. [3]
Download QR code; Print/export ... Technology books: Computer books: Software development books: Computer programming books. Subcategories. ... DevOps Research and ...
Applying the 10 security practices of SDL is an ongoing process of improvement so a key recommendation is to begin from some point and keep enhancing as you proceed. This continuous process involves changes to culture, strategy, processes, and technical controls as you embed security skills and practices into DevOps workflows.
Many publishers have lists of best books, defined by their own criteria.This article enumerates some lists for which there are fuller articles. Among them, Science Fiction: The 100 Best Novels (Xanadu, 1985) and Modern Fantasy: The 100 Best Novels (Grafton, 1988) are collections of 100 short essays by a single author, David Pringle, with moderately long critical introductory chapters also by ...
IBM DevOps Code ClearCase (also known as IBM Rational ClearCase) is a family of computer software tools that supports software configuration management (SCM) of source code and other software development assets. It also supports design-data management of electronic design artifacts, thus enabling hardware and software co-development.
MLOps is the set of practices at the intersection of Machine Learning, DevOps and Data Engineering. MLOps or ML Ops is a paradigm that aims to deploy and maintain machine learning models in production reliably and efficiently. The word is a compound of "machine learning" and the continuous delivery practice (CI/CD) of DevOps in the software ...