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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 ...
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 of the ...
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 .
Modern-day DevOps practices involve: continuous development, continuous testing, continuous integration, continuous deployment, and; continuous monitoring; of software applications throughout its development life cycle. The CI/CD practice, or CI/CD pipeline, forms the backbone of modern day DevOps operations.
Technology strategy - the logic or role of technology in an organization. Technology forecasting - the identification of possible relevant technologies for the organization, such as technology scouting. Technology roadmap - mapping technologies to business and market needs. Technology project portfolio (a set of projects under development) and ...
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 ...