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Guide To CI CD Pipeline: Everything You Need To Know 2023

Users can also submit bug tickets to denote real or perceived errors with the release. GitLab is a popular DevOps platform for end-to-end development and operations. It provides users with a Git repository for source version control, issue tracking, and CI/CD features. Developers can use the GitLab web UI and API to track builds, track test results, monitor deployments, and schedule batch jobs across various testing environments.

features of an excellent CI/CD pipeline

Well-documented repositories or components and builds allow rapid restoration of previous builds when new builds or deployments go awry. Good version control facilitates fast, accurate and confident rollbacks — perhaps to the previous working version — whenever the need arises. GitLab’s CI/CD is built into the platform that makes it easy for developers to have full control over their code through a web interface without learning new tools. As a result, there are no obstacles to integrating CI/CD into their process. Is a set of principles and practices that allow you to get production-ready software in front of customers at any time – no matter what’s going on in your team. In this stage, all changes from functional testing are pushed to the staging environment.

What’s the Difference Between Continuous Delivery and Continuous Deployment? Which Continuous Model should I use?

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 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.

“Merge conflict” is one of the worst messages you can see in Git as a developer. You’ve spent hours working on a feature and finally have your code perfect. But someone else has changed the same part of the file, so now you need to compare the differences, choose CI CD pipeline which edits to keep, and run all your tests again before trying to merge a second time. The assessment was to review a newly implemented hardened Jenkins environment with the documented user roles that had been created using the least privileges principle.

  • This one was a pretty straightforward attack vector and could get you to the host.
  • Once a developer commits changes to the codebase, those changes are saved to the version control system in the repository, which automatically triggers a new build.
  • There’s no substitute for skilled and knowledgeable software testers and well-documented requirements and goals.
  • If no one waits for other people to finish, then your pipeline will be faster and more efficient.
  • Another pitfall that organizations fall into is not properly scaling their CI/CD system.
  • Kubernetes can be very complicated to set up, it comes with a large tooling ecosystem and requires a lot of configuration and tuning to run containerised applications in the long term.

Failure to implement a CI/CD pipeline strategy can sacrifice efficiency, exacerbate delays and undermine the reliability of the entire delivery process. Continuous integration, delivery and deployment (CI/CD) have enabled many organizations to release on a more frequent basis without compromising on quality. With CI/CD, code changes are shepherded through an automated pipeline that handles the repetitive build, test and deployment tasks and alerts you about any issues. Once the software build passes tests, it is ready for final preparations to production deployment.

Top Bottlenecks for Building Effective DevOps Infrastructure [+ How to Avoid Them]

These tools enable developers to write or modify code without interrupting another developer’s progress. Continuous integration, continuous testing and continuous delivery accelerate the code release process, and are thus crucial to DevOps. These processes are often referred to as a CI/CD pipeline or a DevOps pipeline, which omits testing from the description, despite its importance in the approach. The biggest benefit of the CI/CD pipeline is that it makes your software delivery process more predictable by giving you visibility into what’s being checked in, unit tests being run, and deployments taking place.

This process runs automatically when you push new commits to the branch it’s watching. It can run on different platforms and in many widely used languages like C++, Java, Python. The first is whether you want to use an open-source CI/CD tool versus a commercial one or build your own. An open source solution saves money, but there’s the risk that the developers may drastically alter the code or stop developing the product altogether. Commercial tools, on the other hand, usually offer strong support and have more predictable update cycles, but they can be costly and can offer less flexible integration.


Each step has a specialized purpose of ensuring consistency, quality, and speed of delivery. An organization may add additional steps depending on project details. The best way to determine what works for your team is by trying out different options and seeing which has the most benefits. GitLab, on the other hand, has an extension that provides developers complete control over their code and is the best in class for CI/CD pipelines. However, for the CD process to begin, there needs to be some sort of verification that all tests pass before deployments can take place.

We can verify that the pipeline has been successfully executed by checking the console output for the build process. The first is a traditional pipeline, then we’ll turn to a cloud-based pipeline. Failure in a build here could indicate a fundamental issue in the underlying code. Since more companies are using code in their processes, they are able to perform a number of checks and produce recommendations for improvements. Software development is now heavily influenced by Agile and DevOps practices, yet many businesses still lack end-to-end visibility. We must create interoperability standards that make it simple to link our current tools or switch to new ones as needed.

After a developer or a group of developers finish their chances, they must pass a series of checks and tests before the system is ready for Deployment. In our final story, NCC Group consultants were on an assessment in which they landed in the middle of the pipeline. They were able to port scan the infrastructure that turned out to be a build pipeline. One of the applications was vulnerable to server-side request forgery and they were running on AWS EC2 instances.

Attributes of a good CD/CD pipeline

Rapid feedback is a key part of the DevOps approach with applications throughout the pipeline. It starts with automated build and test steps to inform you of immediate problems, helping you to work more efficiently and effectively than if there is a long delay between the original work and the results. As anyone who has had to follow a manual test script knows, testing is a repetitive process demanding high levels of concentration.

features of an excellent CI/CD pipeline

Do not allow developers to directly interact with Docker daemons on hosts they do not control. Consider running Docker build jobs using a tool that supports rootless Docker building such as kaniko. BMC works with 86% of the Forbes Global 50 and customers and partners around the world to create their future. Additionally, this stage also includes the build artifact handling.

This creates a bottleneck at the first step of CI, where all developers are checking in code. If no one waits for other people to finish, then your pipeline will be faster and more efficient. The pipeline is responsible for the software development process and a wide range of tasks such as test automation, infrastructure provisioning, configuration, packaging, etc. CI, at its core, is an automated process that checks your code into a version control system.

CI/CD Pipeline Example

By testing early and often with CI/CD, you can find errors quickly and prevent them from entering the codebase. This leads to fewer bugs in production and ensures software is performing and behaving correctly before getting into the customer’s hands. Understand the intended benefits, such as faster code building or lower error/rework rates, and then implement metrics to measure those criteria. Compare the metrics against pre-pipeline performance and track those metrics as the pipeline evolves. This makes it easier to see the pipeline’s value, spot problems over time, and invest in ways to build and enhance the CI/CD pipeline.

Administrators are better able to deploy software updates and handle rollbacks with fewer deployment errors and needless troubleshooting. Similarly, IT automation technologies can help speed deployments while reducing setup or configuration errors. Bugs can take weeks or months to fix in traditional software development, but the constant flow of a CI/CD pipeline makes it easier to address and fix bugs faster and with better confidence. The limited scope of code in each new iteration, as well as the scope to test it, makes it easier to find and fix bugs. Features are more readily evaluated for usefulness and user acceptance, and less useful features are easily adjusted or even abandoned before further development is wasted. The CI/CT/CD process, like the one detailed above, ultimately provides an automated solution that results in safe deployments to production.

Continuous delivery vs. continuous deployment

If you’re sold on CI/CD pipelines on Kubernetes, we have just the thing for you. MicroK8s is the easiest way to get a fully conformant Kubernetes cluster, and GitLab provides you with all the right tools for you to build a full DevOps environment. You only need to get some virtual machines and you and your teams are off to the races. The bottleneck between writing the code and delivery hinders many organizations. Compared to cycle time, lead time to deploy does not account for the time taken to write the code and focuses solely on the pipeline efficiency. Static code analysis tools and various IDE plugins help quantify the code quality.

Continuous Delivery

Having broken it down, you can keep optimizing each stage to make your process more efficient. From being a significant event that occupies multiple teams for several days, with CI/CD releasing matures into a familiar and predictable occurrence. With continuous integration, developers are encouraged to commit their code changes more frequently – at least once a day as a rule of thumb. Sharing code with the rest of the team regularly not only ensures everyone is building on the same foundation, but also results in faster code reviews and makes it easier to integrate changes. Tekton provides an open sourceframework to create cloud-native CI/CD pipelines quickly.

Get a streamlined user experience through the Red Hat OpenShift console developer perspective, command-line interfaces, and integrated development environments. Traditional CI/CD systems are designed for pipelines that use virtual machines, but cloud-nativeapplication development brings advantages to CI/CD pipelines. Release Control Plan, track, orchestrate, and release complex applications across any environment. Release Control enables you to orchestrate application releases with a flexible, process-centric approach. These four steps are typically repeated during code changes, ensuring that new code functions appropriately and successfully integrates into the codebase without breaking an app. Deploying code changes frequently reduces the risk of each deployment.

Teams and project effort must reflect the most effective use of the pipeline. Each stage of a typical CI/CD pipeline has multiple tasks and multiple kinds of tools to accomplish them. Run basic tests on the code to ensure its quality and consistency with organizational guidelines. User acceptance testing assesses whether users are able to use new features and functions as intended.