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If you’d like to follow the examples, I will assume that you already have a cluster with serverless (Tekton-based) Jenkins X up-and-running.
Before we start exploring how to override different components in serverless Jenkins X pipelines, we’ll create a new quickstart project so that we have a sample application to play with.
jx create quickstart \ --language go \ --project-name jx-go-loops \ --batch-mode
Hopefully, this is not the first time you created a quick start project, and you are already familiar with the out-of-the-box pipeline our new application inherited from a build pack. Also, I will assume that you do understand that
buildPack: goinstruction in
jenkins-x.ymlmeans that the pipeline inherits all the steps defined in the corresponding build pack.
Our pipeline is currently building a Linux binary of our application before adding it to a container image. But what if we’d like to distribute the application also as executables for different operating systems? We could provide that same binary, but that would work only for Linux users since that is the architecture it is currently built for. We might want to extend the reach to Windows and MacOS users as well, and that would mean that we’d need to build two additional binaries. How could we do that?
The serverless flavor of Jenkins X or, as some call it, Jenkins X Next Generation, is an attempt to redefine how we do continuous delivery and GitOps inside Kubernetes clusters. It does that by combining quite a few tools into a single easy-to-use bundle. As a result, most people will not have a need to understand intricacies of how the pieces work independently, nor how they are all integrated. Instead, many will merely push a change to Git and let the system do the rest. But, there are always those who would like to know what’s happening behind the hood. To satisfy those craving for insight, we’ll explore the processes and the components involved in the serverless Jenkins X platform. Understanding the flow of an event initiated by a Git webhook will give us insight into how the solution works and help us later on when we go deeper into each of the new components.