Going Serverless With Jenkins X: Exploring Prow, Jenkins X Pipeline Operator, And Tekton

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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.
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Versioning Releases

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Versioning is one of those things that can be done in many different ways. Almost every team I worked with came up with their own versioning schema. When starting a new project, quite often we would spend time debating how we are going to version our releases. And yet, coming up with our own versioning schema is usually a waste of time. The goals of versioning are simple. We need a unique identifier of a release as well as an indication of whether a change breaks backward compatibility. Given that others already agreed on the format that fulfills those objectives, the best we can do, just as with many other things related to software development, is to use the convention. Otherwise, we are probably wasting our time reinventing the wheel without understanding that a few things are likely going to go wrong down the line.
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Working With Pull Requests And Preview Environments

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Pull Requests (or whatever their equivalents are called in your favorite Git distribution) are a norm. Most of us adopted them as the primary way of reviewing and accepting changes that will ultimately be deployed to production. They work hand-in-hand with feature branches.
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Improving And Simplifying Software Development With Jenkins X

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Software development is hard. It takes years to become a proficient developer, and the tech and the processes change every so often. What was effective yesterday, is not necessarily effective today. The number of languages we code in is increasing. While in the past, most developers would work in the same language throughout their whole carrier, today it is not uncommon for a developer to work on multiple projects written in different languages. We might, for example, work on a new project and code in Go, while we still need to maintain some other project written in Java. For us to be efficient, we need to install compilers, helper libraries, and quite a few other things.
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Creating Custom Jenkins X Build Packs

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I stand by my claim that “you do not need to understand Kubernetes to use Jenkins X.” To be more precise, those who do not want to know Kubernetes and its ecosystem in detail can benefit from Jenkins X ability to simplify the processes around software development lifecycle. That’s the promise or, at least, one of the driving ideas behind the project. Nevertheless, for that goal to reach as wide of an audience as possible, we need a variety of build packs. The more we have, the more use cases can be covered with a single jx import or jx quickstart command. The problem is that there is an infinite number of types of applications and combinations we might have. Not all can be covered with community-based packs. No matter how much effort the community puts into creating build packs, they will always be a fraction of what we might need. That’s where you come in.
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Is Your Cluster Ready For Jenkins X?

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If you’re reading this, the chances are that you do not want to use jx cluster create to create a new cluster that will host Jenkins X. That is OK, or even welcome. That likely means that you are already experienced with Kubernetes and that you already have applications running in Kubernetes. That’s a sign of maturity and your desire to add Jenkins X to the mix of whichever applications you are already running there. After all, it would be silly to create a new cluster for each set of applications.

However, using an existing Kubernetes cluster is risky. Many people think that they are so smart that they will assemble their Kubernetes cluster from scratch. “We’re so awesome that we don’t need tools like Rancher to create a cluster for us.” “We’ll do it with kubeadm.” Then, after a lot of sweat, we announce that the cluster is operational, only to discover that there is no StorageClass or that networking does not work. So, if you assembled your own cluster and you want to use Jenkins X inside it, you need to ask yourself whether that cluster is set up correctly. Does it have everything we need? Does it comply with standards, or did you tweak it to meet your corporate restrictions? Did you choose to remove StorageClass because all your applications are stateless? Were you forced by your security department to restrict communication between Namespaces? Is the Kubernetes version too old? We can answer those and many other questions by running compliance tests.
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What Is Jenkins X?

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To understand intricacies and inner workings of Jenkins X, we need to understand Kubernetes. But, you do not need to understand Kubernetes to use Jenkins X. That is one of the main contributions of the project. Jenkins X allows us to harness the power of Kubernetes without spending eternity learning the ever-growing list of the things it does. Jenkins X helps us by simplifying complex processes into concepts that can be adopted quickly and without spending months in trying to figure out “the right way to do stuff.” It helps by removing and simplifying some of the problems caused by the overall complexity of Kubernetes and its ecosystem. If you are indeed a Kubernetes ninja, you will appreciate all the effort put into Jenkins X. If you’re not, you will be able to jump right in and harness the power of Kubernetes without ripping your hair out of frustration caused by Kubernetes complexity.
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