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  2. Continuous configuration automation - Wikipedia

    en.wikipedia.org/wiki/Continuous_configuration...

    Gartner describes CCA as “Embodying lean, agile and collaborative concepts core to DevOps initiatives, CCA tools bring a newly found level of precision, efficiency and flexibility to the challenges of infrastructure and application configuration management.” [4]

  3. Orchestration (computing) - Wikipedia

    en.wikipedia.org/wiki/Orchestration_(computing)

    Orchestration is often discussed in the context of service-oriented architecture, virtualization, provisioning, converged infrastructure and dynamic data center topics. Orchestration in this sense is about aligning the business request with the applications, data, and infrastructure.

  4. 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.

  5. 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 ...

  6. 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]

  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. Platform engineering - Wikipedia

    en.wikipedia.org/wiki/Platform_engineering

    Platform engineering uses components like configuration management, infrastructure orchestration, and role-based access control to improve reliability. The discipline is associated with DevOps and platform as a service practices.

  9. Progress Chef - Wikipedia

    en.wikipedia.org/wiki/Progress_Chef

    Progress Chef (formerly Chef) [4] is a configuration management tool written in Ruby and Erlang.It uses a pure-Ruby, domain-specific language (DSL) for writing system configuration "recipes".