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Coming to terms: CI/CD

October 18, 2022
Don Schenck
Related topics:
DevOps
Related products:
Red Hat OpenShift

    This is one post in a series of posts that will present and define terms that are used in distributed computing, cloud-native computing, and/or container-based development.

    CI/CD

    Acronym for Continuous Integration/Continuous Delivery or Continuous Integration/Continuous Deployment.

    Continuous Integration (CI) is the practice of merging all developer software branches (or changes) into the main copy (or “trunk”) several times a day. The theory behind CI is that, at any time, a successful build should be possible from the main trunk of the software. Part of the build process includes automated unit testing. To avoid partial features from being included, Feature Toggles can be used to ignore unfinished sections.

    Automating the process is done by using a build server, which runs after every software commit. This gives a constant update on the status of the software.

    Continuous Delivery extends CI by assuring that the successfully-built code is ready for rapid deployment. Continuous Delivery is not the practice of putting software into production; rather, it is making the software available for production use. The decision to deploy the software can be automatic (Continuous Deployment) or manual.

    Continuous Delivery is the goal to be reached in order to be successfully embracing DevOps.

    Continuous Deployment differs from Continuous Delivery. It is the practice of deploying software to production automatically after a successful build. For most, this is either impractical, too risky, or violates regulations. Manually deploying software is often the preferred method of deployment; Continuous Deployment is best for low-risk software or highly-performant development teams.

    Last updated: July 28, 2023
    Disclaimer: Please note the content in this blog post has not been thoroughly reviewed by the Red Hat Developer editorial team. Any opinions expressed in this post are the author's own and do not necessarily reflect the policies or positions of Red Hat.

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