CI CD tutorial: How to set up a pipeline

Multiple developers work on the same codebase simultaneously and make frequent commits to the code repository. Build frequency can be daily or even several times per day at some points in the project’s lifecycle. These small, frequent builds enable easy and low-risk experimentation, as well as the ability to easily roll back or abandon undesirable outcomes. A key characteristic of the CI/CD pipeline is the use of automation to ensure code quality.

Basic CI/CD pipeline steps

All these contribute towards the increased productivity of the delivery team. So there are a growing number of ways that you can perform automated acceptance testing. Now comes the time to perform acceptance testing on your application. This is one of the great use cases for Docker containers – being able to create fresh build environments easily and repeatably.

What’s the Difference Between Continuous Deployment and Continuous Delivery?

Smaller parts of the infrastructure can be isolated, and tests can be run in parallel to shorten the feedback cycle. In this post we will delve into the basics of CI/CD pipelines, outlining the benefits of using them. We will then look at each stage in the pipeline, and what makes up a good CI CD pipeline pipeline, along with some examples relating to Terraform. DigitalOcean makes it simple to launch in the cloud and scale up as you grow – whether you’re running one virtual machine or ten thousand. This strategy has a number of benefits that can help keep your CI/CD process healthy.

Teams should always evaluate new tools and refine the processes to keep the overall pipeline as smooth and efficient as possible. Security scanning tools at the code level (SAST and SCA tools) are handy for early vulnerability and error diagnostics but can produce a large number of false positives. CI/CD brings speed and agility, so give the process time to evolve and enable developers to try different tools and steps.

Common Software Architectural Patterns in a nutshell

If you leave the pipeline to be run manually, people will sometimes forget to run it, or choose not to. You can either configure your CI/CD tool to poll for changes to a Git repository, or you can set up a Webhook to notify your CI/CD tool whenever a developer makes a push. So now we’ve seen what a pipeline is for, let’s take a look at some of the most common stages in a CI/CD pipeline. We put these stages into pipelines in order to support the goals above. Anything extra in the pipeline is “nice to have”, and depends on what your software needs to do. But the main goal is always about getting that software tested, and into production.

  • When you have a team of developers, each of whom is responsible for a separate feature, you need to integrate the different features before you’re ready for a release.
  • This starts with spotting errors in the source code and continues all the way through testing and deployment.
  • If they do not match, the deviation is noted, and error information is sent back to the development team for investigation and remediation.
  • This is the second stage of the CI/CD Pipeline in which you merge the source code and its dependencies.
  • So now we’ve seen what a pipeline is for, let’s take a look at some of the most common stages in a CI/CD pipeline.

Continuous delivery can — but does not necessarily — deploy a successfully tested and validated build. When it comes to being enterprise-ready, IBM Cloud Continuous Delivery is the cloud infrastructure and experience made for DevOps. Build, deploy and manage your applications with toolchains, pipelines and tool integrations designed for DevOps with the power of the cloud.

Attributes of a good CD/CD pipeline

Now that you understand the concepts of CI and CD, it’s time we get more into the weeds of what a CI/CD pipeline is. When the community talks about CI/CD and the cutting edge in the same sentence, usually it’s about the implementation details of the CI/CD pipeline. This CI-CD Pipeline video explains the concepts of Continuous Integration, Continuous Delivery & Deployment, its benefits and its tools. The key is to eliminate manual human intervention and to be able to deploy the code in the background without affecting the end user. 5 min read – A phishing simulation is a cybersecurity exercise that tests an organization’s ability to recognize and respond to a phishing attack.

A CI/CD pipeline can and should be more complex than this if you’re building enterprise software, maintaining a big open source project, or working with a big team on any array of things. But if you’re just getting started, don’t worry about making your CI/CD pipeline meet every single need of a big team or ambitious project—just make it work for you. The point here is that if you’re working on a solo project or something small, building a CI pipeline doesn’t have to be an intimidating process.

Ready to implement a CI/CD pipeline?

In this section, I’ll show how to configure a simple CI/CD pipeline using Jenkins. Acceptance tests are a way of ensuring that your software does what it is meant to do, and that it meets the original requirements. The CI/CD tool usually receives information from a poll, or a webhook, which says which specific commit triggered the pipeline.

Basic CI/CD pipeline steps

This allows developers to detect and resolve conflicts early, as well as to run automated tests and code analysis tools to ensure the code quality and functionality. In most cases, a pipeline run is triggered by a source code repository. A change in code triggers a notification to the CI/CD tool, which runs the corresponding pipeline. Other common triggers include automatically scheduled or user-initiated workflows, as well as results of other pipelines. CI, short for Continuous Integration, is a software development practice in which all developers merge code changes in a central repository multiple times a day. CD stands for Continuous Delivery, which on top of Continuous Integration adds the practice of automating the entire software release process.

CI/CD Pipeline: Learn with Example

Continuous Delivery includes infrastructure provisioning and deployment, which may be manual and consist of multiple stages. What’s important is that all these processes are fully automated, with each run fully logged and visible to the entire team. I’ve dove into the conceptual definitions of continuous integration, continuous deployment, and continuous delivery.

Test prioritization usually means running your project’s unit tests first since those tend to be quick, isolated, and component focused. Some differences between staging and production are expected, but keeping them manageable and making sure they are well-understood is essential. Some organizations use blue-green deployments to swap production traffic between two nearly identical environments that alternate between being designated production and staging.

Example of a CI/CD Pipeline Toolchain

It involves from the integration and testing phase to delivery and deployment. In order to ensure a single source of truth for pipeline specification, Microtica does NOT allow changes in the Build pipelines from the UI. Changes will only take effect from the YAML file provided in each source code repository. We find this very helpful in avoiding possible confusion of definition, maintenance, and, most importantly, debugging problems in the process. So far, we have learned how to create CI CD Pipeline using Docker and Jenkins. The intention of DevOps is to create better-quality software more quickly and with more reliability while inviting greater communication and collaboration between teams.

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