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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 31 January 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 ...

  3. 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 ...

  4. 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 ...

  5. DevOps toolchain - Wikipedia

    en.wikipedia.org/wiki/DevOps_toolchain

    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.

  6. Site reliability engineering - Wikipedia

    en.wikipedia.org/wiki/Site_reliability_engineering

    Site Reliability Engineering (SRE) is a discipline in the field of Software Engineering and IT infrastructure support that monitors and improves the availability and performance of deployed software systems and large software services (which are expected to deliver reliable response times across events such as new software deployments, hardware failures, and cybersecurity attacks). [1]

  7. Application-release automation - Wikipedia

    en.wikipedia.org/wiki/Application-release_automation

    ARA tools help cultivate DevOps best practices by providing a combination of automation, environment modeling and workflow-management capabilities. These practices help teams deliver software rapidly, reliably and responsibly. ARA tools achieve a key DevOps goal of implementing continuous delivery with a large quantity of releases quickly. [3]