OpenShift 101: OpenShift Pipelines

OpenShift 101: OpenShift Pipelines

Explore the key features of Red Hat OpenShift Pipelines, and learn how you can execute a pipeline. One of the interesting additions to Red Hat OpenShift 4 is OpenShift Pipelines, which I will introduce in this blog. I’ll start by reviewing DevOps, and then I will jump right into OpenShift Pipelines, explaining what it is and how to implement it.

One of the interesting additions to Red Hat OpenShift 4 is OpenShift Pipelines, which I will introduce in this blog. I’ll start by reviewing DevOps, and then I will jump right into OpenShift Pipelines, explaining what it is and how to implement it.

DevOps review

DevOps, as the name indicates, is an approach that encourages collaboration between developers(dev) and operations(ops) teams. With the DevOps approach, working on projects becomes much easier because it promotes agile and lean software delivery between lines of business.

The CI/CD pipeline is the backbone of the DevOps process, and it is an iterative process that consists of the following:

  • Continuous integration (CI): Continuous integration focuses on coding, building, integrating, and testing.
  • Continuous deployment or continuous delivery (CD): Continuous deployment focuses on automating the releases safely as soon as possible like bug fixes and adding new features, while continuous delivery can include CI but mainly focuses on product releases.

The process of the CI/CD pipeline starts with making changes and pushing them into the repository, then building and testing code, and finally reviewing, deploying, and delivering to users. This is an iterative process that happens whenever changes and updates are made.

The DevOps approach proves to be successful because it improves collaboration between teams, which makes it faster to make changes and fix bugs, so that you can deploy your applications within minutes. With the DevOps approach, teams are able to deploy with confidence by automating tasks and making sure the same steps are executed automatically. Finally, your team can leverage the automated testing before deploying code to a specific environment.

Cloud-native DevOps

When you hear the term cloud-native DevOps, you might think at first that it is cloud-based, but in fact the term refers to taking advantage of automation and scalability offered by containers and Kubernetes.

Cloud-native DevOps involves continuous improvement, automation, cross-functional teams, and better alignment with business needs with customer expectations in mind.

Despite it being called cloud-native, projects don’t necessarily need to be deployed on the cloud — they can also be deployed on-premises or on virtual servers. It is more about the principles and process, not where the project is. Characteristics of cloud-native DevOps include:

  • Each task in the pipeline has its own lifecycle (in other words, when executed, it runs as its own container)
  • Built for container applications and run on Kubernetes
  • Designed with microservices and distributed teams in mind

One of the famous tools for building cloud-native pipelines is Tekton. Tekton is an open source framework for Kubernetes that aims to build cloud-native CI/CD pipelines quickly. With Tekton, you can deploy your projects across multiple cloud providers or hybrid environments easily.

cloud containers kubernetes microservices software development

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