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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 ...
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 .
DevOps is a broader, more inclusive concept that includes software feature planning, code development, testing, deployment, configuration, monitoring, and feedback. It was an attempt to integrate some of the disconnected toolchains. Testing is included in the broader DevOps methodology. TestOps [12] is not simply providing additional emphasis ...
A research director with research firm Gartner proposed changing the term ALM to ADLM (Application Development Life-cycle Management) to include DevOps, the software engineering culture and practice that aims at unifying software development (Dev) and software operation (Ops). [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 ...
A DevOps toolchain is a set or combination of tools that aid in the delivery, development, and management of software applications throughout the systems development life cycle, as coordinated by an organisation that uses DevOps practices.
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