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This is an accepted version of this page This is the latest accepted revision, reviewed on 12 February 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 ...
Release engineering is the difference between manufacturing software in small teams or startups and manufacturing software in an industrial way that is repeatable, gives predictable results, and scales well. These industrial style practices not only contribute to the growth of a company but also are key factors in enabling growth.
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 ...
In software engineering, a software development process or software development life cycle (SDLC) is a process of planning and managing software development.It typically involves dividing software development work into smaller, parallel, or sequential steps or sub-processes to improve design and/or product management.
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 .
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 ...
Concurrent engineering (CE) or concurrent design and manufacturing is a work methodology emphasizing the parallelization of tasks (i.e. performing tasks concurrently), which is sometimes called simultaneous engineering or integrated product development (IPD) using an integrated product team approach.
DataOps is a set of practices, processes and technologies that combines an integrated and process-oriented perspective on data with automation and methods from agile software engineering to improve quality, speed, and collaboration and promote a culture of continuous improvement in the area of data analytics. [1]