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  2. DevOps - Wikipedia

    en.wikipedia.org/wiki/DevOps

    DevOps initiatives can create cultural changes in companies [41] by transforming the way operations, developers, and testers collaborate during the development and delivery processes. [42] Getting these groups to work cohesively is a critical challenge in enterprise DevOps adoption. [43] [44] DevOps is as much about culture as it is about the ...

  3. CI/CD - Wikipedia

    en.wikipedia.org/wiki/CI/CD

    Modern-day DevOps practices involve: continuous development, continuous testing, continuous integration, continuous deployment, and; continuous monitoring; of software applications throughout its development life cycle. The CI/CD practice, or CI/CD pipeline, forms the backbone of modern day DevOps operations.

  4. Azure DevOps - Wikipedia

    en.wikipedia.org/wiki/Azure_DevOps

    Azure DevOps may refer to: . Azure DevOps Server, collaboration software for software development formerly known as Team Foundation Server and Visual Studio Team System; Azure DevOps Services, cloud service for software development formerly known as Visual Studio Team Services, Visual Studio Online and Team Foundation Service Preview

  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. Progress Chef - Wikipedia

    en.wikipedia.org/wiki/Progress_Chef

    Chef is used to streamline the task of configuring and maintaining a company's servers, and can integrate with cloud-based platforms such as Amazon EC2, Google Cloud Platform, Oracle Cloud, OpenStack, IBM Cloud, Microsoft Azure, and Rackspace to automatically provision and configure new machines. Chef contains solutions for both small and large ...

  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 ...

  8. Microsoft Certified Professional - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Certified...

    Certifications were earned by passing exams aligned to a specific certification offering. Typically multiple examinations were required to obtain either a hardware centered certification such as the MCSE (Microsoft Certified Systems Engineer) or a more software orientated offering such as the MCSD (Microsoft Certified Solutions Developer).

  9. Development, testing, acceptance and production - Wikipedia

    en.wikipedia.org/wiki/Development,_testing...

    Education – This extension of the DTAP-street is a training environment for the users of the production environment. Backup – The backup site is used for disaster recovery. Though the methodology is called DTAP, some projects might use DTAPB, DTP, DTEP or any other variant addressing the project needs.