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  2. Salt (software) - Wikipedia

    en.wikipedia.org/wiki/Salt_(software)

    Salt (sometimes referred to as SaltStack) is a Python-based, open-source software for event-driven IT automation, remote task execution, and configuration management. ...

  3. 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]

  4. Application lifecycle management - Wikipedia

    en.wikipedia.org/wiki/Application_lifecycle...

    Application lifecycle management (ALM) is the product lifecycle management (governance, development, and maintenance) of computer programs. It encompasses requirements management, software architecture, computer programming, software testing, software maintenance, change management, continuous integration, project management, and release ...

  5. Release engineering - Wikipedia

    en.wikipedia.org/wiki/Release_engineering

    Release engineering is often the integration hub for more complex software development teams, sitting at the cross between development, product management, quality assurance and other engineering efforts, also known as DevOps. Release engineering teams are often cast in the role of gatekeepers (e.g. at Facebook, Google, Microsoft) for certain ...

  6. ‘Latinos Break The Mold’ by Huffington Post

    testkitchen.huffingtonpost.com/latinos-break-the...

    Built with Readymag—a tool to design anything on the web.

  7. 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.

  8. DataOps - Wikipedia

    en.wikipedia.org/wiki/Dataops

    DataOps is a set of practices, processes and technologies that combines an integrated and process-oriented perspective on data with automation and methods from agile software engineering to improve quality, speed, and collaboration and promote a culture of continuous improvement in the area of data analytics. [1]

  9. 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 ...