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  2. DevOps toolchain - Wikipedia

    en.wikipedia.org/wiki/DevOps_toolchain

    A diagram of the DevOps stages. 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.

  3. 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 ...

  4. Nextflow - Wikipedia

    en.wikipedia.org/wiki/Nextflow

    Custom scripts may suffice when developing new methods or infrequently running particular analyses, but scale poorly to complex task successions or many samples. [3] [4] [5] Scientific workflow systems like Nextflow allow formalizing an analysis as a data analysis pipeline. Pipelines, also known as workflows, specify the order and conditions of ...

  5. CI/CD - Wikipedia

    en.wikipedia.org/wiki/CI/CD

    The following practices can enhance productivity of CI/CD pipelines, especially in systems hosted in the cloud: [5] [6] [7]. Number of Pipelines: Small teams can be more productive by having one repository and one pipeline.

  6. Docker (software) - Wikipedia

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

    Docker is a set of platform as a service (PaaS) products that use OS-level virtualization to deliver software in packages called containers. [5] The service has both free and premium tiers. The software that hosts the containers is called Docker Engine. [6] It was first released in 2013 and is developed by Docker, Inc. [7]

  7. Extract, transform, load - Wikipedia

    en.wikipedia.org/wiki/Extract,_transform,_load

    Pipeline: allowing the simultaneous running of several components on the same data stream, e.g. looking up a value on record 1 at the same time as adding two fields on record 2; Component: The simultaneous running of multiple processes on different data streams in the same job, e.g. sorting one input file while removing duplicates on another file

  8. Microservices - Wikipedia

    en.wikipedia.org/wiki/Microservices

    It is common for microservices architectures to be adopted for cloud-native applications, serverless computing, and applications using lightweight container deployment. . According to Fowler, because of the large number (when compared to monolithic application implementations) of services, decentralized continuous delivery and DevOps with holistic service monitoring are necessary to ...

  9. Pipeline (computing) - Wikipedia

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

    In computing, a pipeline or data pipeline [1] is a set of data processing elements connected in series, where the output of one element is the input of the next one. The elements of a pipeline are often executed in parallel or in time-sliced fashion. Some amount of buffer storage is often inserted between elements. Computer-related pipelines ...