Now that you have a better understanding of what cloud-native continuous integration/continuous deployment (CI/CD) pipelines are all about, it's time to get your hands dirty and start exploring Tekton. In order to use Tekton locally, there are some tools that you will need on your computer.
Next, you will need to install the appropriate container runtime.
Once you have everything locally installed, you will also need a Kubernetes cluster in which Tekton will live. There are many options available to you. In this section, you will see how to install minikube, a tiny distribution of Kubernetes that runs locally.
Finally, you will see how to install the Tekton custom resource definitions (CRDs) on your cluster and install the command-line interface (CLI) tool needed to access those resources. Once this is done, you will be ready to get started with your Tekton Pipelines.
The first tool that we will need is Git. Git is a code versioning system that is free and open source.
To install Git, you can go to https://git-scm.com/downloads and pick your operating system.
If you are using a Windows operating system, it will automatically start a file download. Open this file to begin the installation process. The website will redirect you to a page with the installation instructions for your operating system for macOS and Linux.
Code editors are a divisive topic among software developers. You can pick the one you want for the examples in this blog. The choice of the integrated development environment (IDE) won't matter, but I prefer VS Code because of its extension ecosystem.
With VS Code, you can find extensions to make you more productive in just about any coding language, including YAML files.
Installing the extensions
To install extensions, you can open the Extensions panel in VS Code with Ctrl + Shift + X. From here, you can search for and install the following extensions:
- Kubernetes by Microsoft
- YAML by Red Hat
- Tekton Pipelines by Red Hat
To install the extensions, click on the Install button.
Now that you have a running developer environment, it's time to start adding the necessary tooling to containerize and deploy your application.
Installing a container runtime
There are many different options available to you. In this blog, we will focus on the most popular choice, which is Docker.
Docker, from the eponymous company, is the most popular option out there. This is especially true if you are using a Windows or macOS operating system. To run containers, you technically have to use a Linux operating system. Docker will take care of creating a virtual machine (VM) and will run the containers in there.
You can install Docker by visiting their Getting Started with Docker page at https://docker.com/get-started.
To verify the installation of Docker, you can run the following command:
$ docker version
While you are on the Docker Get Started with Docker page, you can also sign up for a free Docker Hub account. This account will give you access to a container registry. A registry is to containers what a repository is to code. It is a central place to store and share your images.
Kubernetes distribution (local, cloud, hosted)
Tekton runs inside a Kubernetes cluster, so to do any of the exercises in this blog, you will need access to such a cluster.
If you already have a Kubernetes cluster available to you, feel free to skip this section and use your own.
If you do need access to your own Kubernetes cluster to experiment with the tutorials, I recommend using a Kubernetes distribution that runs locally.
The easiest way to get started with Kubernetes is by running a micro distribution on your computer. There are many micro distributions available, such as MicroK8s by Canonical and https://docker.com/get-started by Rancher. The one that will be used here is by the Cloud Native Computing Foundation (CNCF) and is called minikube.
You will find the download and installation instructions for minikube on any operating system at https://minikube.sigs.k8s.io/docs/start/.
Once it's installed, you can start a cluster with the following command:
$ minikube start
You'll then have a Kubernetes cluster running on your personal computer.
Connecting to your Kubernetes cluster
To interact with your Kubernetes cluster, you will need a CLI tool called kubectl. If you've already interacted with a Kubernetes cluster, you are most likely familiar with this tool. If you don't have it installed already, you can go to the Kubernetes official website and follow your operating system's installation instructions. kubectl installation at https://kubernetes.io/docs/tasks/tools/install-kubectl/
Once the tool has been installed, you can test it out with the following command:
$ kubectl version
This command should output the current version of kubectl.
You will also need to configure kubectl to use your existing cluster. If you are using minikube, you can restart your cluster. When using minikube start, it will automatically configure kubectl for you.
For minikube, type the following command:
$ minikube stop && minikube start
If you are using a cloud-based Kubernetes distribution, you might need to look up your provider's documentation.
With kubectl, you will be able to manage everything that is happening inside your cluster. Now that you have all the necessary tooling, you can start installing Tekton and the related tooling.
Preparing the Tekton tooling
Now that you have all the necessary tooling to run Tekton, it's time to get started with Tekton itself. The first step will be to install one final CLI tool to interact with Tekton. You can find this tool along with the installation instructions for your operating system at https://tekton.dev/docs/getting-started/#set-up-the-cli.
The next step will be to install Tekton on your Kubernetes cluster. This command will install all the CRDs to be able to run Tekton Tasks and Pipelines. To install Tekton from your command line run below command.
$ kubectl apply --filename https://storage.googleapis.com/tekton-releases/pipeline/latest/release.yaml
Now that you have everything installed, try to run the following command:
learning-ocean:gaurav$ tkn version Client version: 0.21.0 Pipeline version: v0.29.0 learning-ocean:adherelive-web gaurav$