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  2. Comparison of open-source configuration management software

    en.wikipedia.org/wiki/Comparison_of_open-source...

    The quattor information model is based on the distinction between the desired state and the actual state. The desired state is registered in a fabric-wide configuration database, using a specially designed configuration language called Pan for expressing and validating configurations, composed out of reusable hierarchical building blocks called ...

  3. 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 ...

  4. ModelOps - Wikipedia

    en.wikipedia.org/wiki/ModelOps

    ModelOps (model operations or model operationalization), as defined by Gartner, "is focused primarily on the governance and lifecycle management of a wide range of operationalized artificial intelligence (AI) and decision models, including machine learning, knowledge graphs, rules, optimization, linguistic and agent-based models" in Multi-Agent Systems. [1] "

  5. Azure DevOps Server - Wikipedia

    en.wikipedia.org/wiki/Azure_DevOps_Server

    Azure DevOps, formerly known as Team Foundation Server (TFS) and Visual Studio Team System (VSTS), is a Microsoft product that provides version control (either with Team Foundation Version Control (TFVC) or Git), reporting, requirements management, project management (for both agile software development and waterfall teams), automated builds, testing and release management capabilities.

  6. 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 ...

  7. 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.