What is CI CD? Continuous integration and continuous delivery explained

The developer is free to work on new features; if a problem comes up, Git can easily revert the codebase to its previous state. During the source and build stages, perform SCA, SAST and other basic code scans for style and security standards. When the build is completed, apply a battery of established test conditions using test tools. Start with simple functional validation, and systematically expand testing to more complex and comprehensive integration, in-depth security (such as DAST) and performance. Staff must carefully construct tests and test cases to validate the features and functionality of each new build as the builds, the project and even the project’s requirements evolve.

  • A DevOps organization might use agile software development approaches and leverage CI/CD tools.
  • Case-by-case, what the terms refer to depends on how much automation has been built into the CI/CD pipeline.
  • Most implementations suggest that developers commit directly to the main branch or merge changes from their local branches in at least once a day.
  • In this example, we add a status check named ci, which matches the name applied to the job in the job block in the GitHub Actions steps above.
  • The CI/CD pipeline refers to the series of steps that are undertaken as code is produced by developers and then made to pass through a series of automated tests on its way to ultimately being delivered to users.

And within DevOps, the CI/CD pipeline is now mainstream among software companies. Continuous deployment teams employ cutover practices to minimize downtime and mitigate deployment risks when delivering to production. One approach is canary deployments, where traffic is gradually shifted from the older version to the newer one, allowing for smooth transitions and effective monitoring.

Platform products

Software teams are left scrambling to understand their software supply chain and discover the root cause of failures. The source stage, often referred to as the version control stage, forms the bedrock of the CI/CD pipeline. It involves the management and storage of source code in a controlled and versioned manner. Code is created or updated by developers on their local machines and then pushed to a version control system such as Git or Subversion. This stage ensures that every modification made to the code is tracked and can be retrieved or reverted, providing a safety net for developers.

What is CI CD pipeline management

In fact, you only merged code changes with the mainline branch on “the build machine.” Developers really didn’t know whether there would be conflicts until they completed their code. The final leg of the software delivery process was a QA engineer’s nightmare, fraught with merge issues and bug regressions. Continuous integration solves these problems by giving individual developers the ability to pull the mainline branch into their development branch regularly and to merge their development branch into the mainline branch daily. GitLab is a comprehensive web-based DevSecOps platform providing Git-repository management, issue-tracking, continuous integration, and deployment pipeline features. Available in both open-source and proprietary versions, it’s designed to cover the entire DevOps lifecycle, making it a popular choice for teams looking for a single platform to manage both code and operational data. A CI/CD pipeline improves the software delivery process via automation, which can help speed up the development process and ensure your application software has undergone rigorous testing and change control.

What are the steps in a CI/CD pipeline?

Continuous deployment may seem like riding a bicycle while letting go of the handlebars, but practices like blue-green deployments, feature flags, and testing in production provide additional safeguards. Plus, a solid CI/CD pipeline will include the ability to perform a rollback in case something unexpected happens. CI is therefore, ultimately, a form of automation in development workflows. Not only does it intake code through, typically, a repository management system. It then moves it through an orderly series of quality control checks to make sure that it is in good enough condition to actually send out to end-users. A laggy release cycle could lead to customer attrition and cost the business bottom line.

What is CI CD pipeline management

A more sophisticated continuous delivery pipeline might have additional steps such as synchronizing data, archiving information resources, or patching applications and libraries. At every stage of the pipeline, the development team receives alerts to errors so they can immediately address the issue. The code changes go through the pipeline again, so only error-free code is deployed to production. Common code validation processes start with a static code analysis that verifies the quality of the code. Once the code passes the static tests, automated CI routines package and compile the code for further automated testing. CI processes should have a version control system that tracks changes so you know the version of the code used.

This integration artifacts is published as an open source project.

If they match, the test is considered successful and the build moves on to the next test. If they do not match, the deviation is noted, and error information is sent back to the development team for investigation and remediation. We’re the world’s leading provider of enterprise open source solutions—including Linux, cloud, container, and Kubernetes. We deliver hardened solutions that make it easier for enterprises to work across platforms and environments, from the core datacenter to the network edge. Traditional CI/CD systems are designed for pipelines that use virtual machines, but cloud-native application development brings advantages to CI/CD pipelines. Now a bit confused about how the mobile application CI/CD pipeline as not sure about how to make apk/ipa behave with respect to each environment after deployment.

3 Steps to Secure Your CI/CD Pipelines – DevOps.com

3 Steps to Secure Your CI/CD Pipelines.

Posted: Tue, 26 Sep 2023 07:00:00 GMT [source]

The ability to automate various phases of the CI/CD pipeline helps development teams improve quality, work faster and improve other DevOps metrics. CI begins in shared repositories, where teams collaborate on code using version control systems (VCS) like Git. A VCS tracks code changes, simplifies reversions, and supports config as code for managing testing and infrastructure. Often overlooked and underappreciated, documentation is an essential part of the development pipeline.


In practice, continuous deployment means that a developer’s change to a cloud application could go live within minutes of writing it (assuming it passes automated testing). This makes it much easier to continuously receive and incorporate user feedback. Taken together, all of these connected CI/CD practices make deployment of an application less risky, whereby it’s easier to release changes to apps in small pieces, rather than all at once. There’s also a lot of upfront investment, though, since automated tests will need to be written to accommodate a variety of testing and release stages in the CI/CD pipeline. A CI/CD pipeline is a series of steps that streamline the software delivery process.

Stakeholders range from developers and testers to C-suite executives and even customers. Each project has its own requirements, constraints, and goals to consider. Read on to learn about some of the difficulties you might face when setting up a CI/CD pipeline—and how to overcome them.

Best Practices For CI/CD Pipelines

This makes it possible to detect certain problematic changes before they block other team members. One of the main principles of CI/CD is to integrate changes into the primary shared repository early and often. continuous integration monitoring This helps avoid costly integration problems down the line when multiple developers attempt to merge large, divergent, and conflicting changes into the main branch of the repository in preparation for release.

With GitLab’s built-in security, including security in your pipelines can be done with just a few lines of code. To recap, continuous integration packages and tests software builds and alerts developers if their changes fail any unit tests. Continuous delivery is the automation that delivers applications, services, and other technology deployments to the runtime infrastructure and may execute additional tests. Many teams use feature flags, a configuration mechanism to turn features and code on or off at runtime. Features that are still under development are wrapped with feature flags in the code, deployed with the main branch to production, and turned off until they are ready to be used.

CI/CD Pipeline: A Complete Guide

The time to complete this analysis will grow in proportion to the size and complexity of the project. This means that as the project grows, the time taken to feed issues back to developers will increase. Of course, there are exceptions where it makes sense to merge a pull request even if one of the status checks fails, but you can always uncheck the setting for a one-off exception rather than leaving the repo wide open. Once you have enforced pull requests before merging code to the main branch, check the box to require approvals.

What is CI CD pipeline management