Deploy a Java Spring Boot Website to Kubernetes in 5 Minutes with Jetpack.io
In this tutorial, we'll build a Spring Boot Java website, configure it for Jetpack.io, and deploy it to Kubernetes – all in 5 minutes.
Java is a development environment for building web properties.
If you don't have it already, download and install OpenJDK.
Docker is required to package your backend as a container before deploying to the cloud.
If you don't already have Docker installed as part of your development environment, follow one of the guides below before returning to this quickstart:
kubectl, while not required, is a useful tool for inspecting and managing your deployments in Kubernetes. We recommend following the installation directions for your platform:
Building a Spring Boot website
In this example we'll quickly scaffold a Spring Boot website. You could swap out these steps with use an existing Java web site, or scaffold a site using other frameworks or tools.
Select these options:
- Spring Boot v. 2.7.3
- Package as Jar
- Java 17
Note: Jetpack supports all the Spring Boot options, but you'll need to customize your Dockerfile below to match other options.
Click Generate at the bottom.
Unzip the starter website to an empty folder.
Now we have a regular Spring Boot website. Feel free to customize this site to meet your needs.
Configure the App for Containers
Jetpack.io assumes your web server is running on port
8080 from inside a Docker container. In this section we'll build a Dockerfile to run the web site on port
Create a new file in the root application folder named
Dockerfileand add this content:
COPY . .
Note: this is a bare-bones Dockerfile. Depending on your app's dependencies and Java SDK version, you may need to customize this or add more.
Initialize the project with Jetpack.io
Jetpack.io needs some initial configuration to understand the Spring web server. We need only do this once per website.
To install the Jetpack CLI, open a terminal and run
curl https://get.jetpack.io -fsSL | bash
Jetpack CLI works on Linux, macOS, and on Windows via WSL2.
Login to Jetpack CLI:
jetpack auth login
Logging into Jetpack allows you to deploy to the Jetpack.io Kubernetes cluster. You can also run on your own cluster in your Azure, AWS, GCP, or private cloud account.
Initialize the project for Jetpack:
This wizard interviews you and configures the Jetpack deployment strategy to match your application.
Answer that Yes, this is a web server. This tells Jetpack that we want to accept inbound traffic.
If we were building a scheduled cron job or a function that drained a queue, we could answer no.
- Finish the wizard, and Jetpack CLI automatically generates an appropriate
jetconfig.yamlfile. You should commit this to source control.
Deploy to Kubernetes using Jetpack.io
Now that the project is configured for Jetpack, deploying is really easy.
Open a terminal in the directory with the Dockerfile and jetconfig.yaml file.
Deploy to Kubernetes:
Now Jetpack makes the deployment really simple. Automatically it will:
- Build the Docker image
- Push the image to a private registry
- Schedule the necessary Kubernetes resources
- Create a publicly routable URL to test the website
- Setup port-forwarding from your local machine
- Stream application logs back to the terminal
Test the website:
In the console output will be the publicly routable URL. Click this URL to view the web page.
Jetpack also sets up port-forwarding, so you can also browse to http://localhost:8080/ to view the page.
It's easy to deploy a Java Spring Boot website to Kubernetes with Jetpack.io. In this tutorial we scaffolded a website, configured it for Jetpack.io, and used Jetpack.io to deploy to Kubernetes. Jetpack.io is a great zero-DevOps solution for deploying to Kubernetes. Visit https://jetpack.io/docs/ to learn more and to start deploying your content to Kubernetes with ease.