Search results
Results From The WOW.Com Content Network
This is an accepted version of this page This is the latest accepted revision, reviewed on 5 January 2025. Set of software development practices DevOps is a methodology integrating and automating the work of software development (Dev) and information technology operations (Ops). It serves as a means for improving and shortening the systems development life cycle. DevOps is complementary to ...
[3] [4] [5] As DevOps is a set of practices that emphasizes the collaboration and communication of both software developers and other information technology (IT) professionals, while automating the process of software delivery and infrastructure changes, its implementation can include the definition of the series of tools used at various stages ...
Top level Configuration Management Activity model. Configuration management (CM) is a management process for establishing and maintaining consistency of a product's performance, functional, and physical attributes with its requirements, design, and operational information throughout its life.
This is a list of approaches, styles, methodologies, and philosophies in software development and engineering. It also contains programming paradigms, software development methodologies, software development processes, and single practices, principles, and laws.
Traditional DevOps approach has been formed around 2007-2008, [3] close to the dates when iOS and Android mobile operating systems were released to the public. The traditional DevOps approach primarily evolved to meet the changing needs of the software development world with the paradigm shift towards continuous and rapid development and deployment (such as in web development, where ...
DevOps Research and Assessment (abbreviated to DORA) is a team that is part of Google Cloud that engages in opinion polling of software engineers to conduct research for the DevOps movement. [ 1 ] The DORA team was founded by Nicole Forsgren , Jez Humble and Gene Kim .
PTC Integrity Lifecycle Manager is built around a single repository. This single-repository solution [buzzword] supports the three pillars of lifecycle management—traceability, process automation, and reporting and analytics [2] and some companies may see additional value in this approach. [3]
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 ...