java-spring-api VS minikube-jenkins

We start with an example app that will generate logs. We will use a Java API from a previous post on deploying with Helm. For the complete code for this section take a look at this branch here. We see that we have a logback.xml where we specify to write logs to a file. (See here te relevant part)

We will add OAS3 documentation to a Java Spring API from a previous post on Kubernetes Helm. The completed code for this post is found on github here.

We will start off with a Spring Boot API from this previous post on deployments with helm. We will extend this application with a database connection and use testcontainers in the integration tests. The complete code for this post can be on github here.

In this post we will take the Kubernetes deployment we build in several previous posts on Kubernetes and turn it into a Helm package. The final project code can be found on github here.

We are going to reuse an application that we made in an earlier post (found here). It’s just a basic setup with a greetings endpoint. The code that is used is found on github here.

Now we have the architecture in place. We only need to add a Prometheus Rule for our application that triggers an alert. We build from the Spring Boot application that we deployed in the cluster in an earlier post. The configuration of this rule is done as another CRD and is found on this branch on github.

The full code can be found on this branch. Here are the steps I took.

We start off with the example application from an earlier post. The complete autoscaling code can be found on github.

If you just can’t wait to dive into the code. The complete configuration can be found on github.

With our library in place we can remove the pipeline config out of our Jenkins file and refer to it as follows: (or checkout the code here)

If you want to follow along please take the steps in my post on docker on jenkins. Then checkout the following branch from github and install these values using helm:

Here are all the sources I used on github.