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  2. DevOps - Wikipedia

    en.wikipedia.org/wiki/DevOps

    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. Software development process - Wikipedia

    en.wikipedia.org/wiki/Software_development_process

    The basic principles of rapid application development are: [1] Key objective is for fast development and delivery of a high-quality system at a relatively low investment cost. Attempts to reduce inherent project risk by breaking a project into smaller segments and providing more ease of change during the development process.

  4. Extreme programming - Wikipedia

    en.wikipedia.org/wiki/Extreme_programming

    Extreme programming (XP) is a software development methodology intended to improve software quality and responsiveness to changing customer requirements. As a type of agile software development, [1] [2] [3] it advocates frequent releases in short development cycles, intended to improve productivity and introduce checkpoints at which new customer requirements can be adopted.

  5. DevOps Research and Assessment - Wikipedia

    en.wikipedia.org/wiki/DevOps_Research_and_Assessment

    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 ...

  6. Continuous delivery - Wikipedia

    en.wikipedia.org/wiki/Continuous_delivery

    DevOps is a software engineering approach that centers around cultural change, specifically the collaboration of the various teams involved in software delivery (developers, operations, quality assurance, management, etc.), as well as automating the processes in software delivery.

  7. MLOps - Wikipedia

    en.wikipedia.org/wiki/MLOps

    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 ...