You have consistently written unit tests and you have a line coverage of, let us say, 80% and all of your tests pass. Pretty good, isn’t it? But then you change your code and still all of your tests pass although you have changed code which is covered by your unit tests. In this post, we will take a look at mutation testing which will test the quality of your unit tests.
In this post we are going to take a look at Jib, a tool from Google in order to create Docker images in an easy and fast way. No need to create a Docker file, no need to install a Docker daemon, Jib just runs out-of-the-box.
In this post, we will take a look at how we can use Google Cloud Platform (GCP) SQL as a database for our Spring Boot application. We will investigate how we can use the Cloud database from our development machine and how we can use it from GCP itself.
In this post we are going to deploy a Spring Boot application to the Google Cloud Platform (GCP) App Engine. First, we will take a look at the differences between the standard and flexible environment of App Engine. After that, we will describe step by step how the deployment to GCP App Engine can be accomplished.
Do you want to experiment with Jenkins CI in a local setup? In this post we will setup a local Jenkins CI server, create a build job for a simple Spring Boot Maven project and push the created Docker image to DockerHub. It will be a setup for local experimenting only, but really handy if you want to try out a Jenkins plugin for example.
Assume a new developer or test engineer is added to your team. You develop an application with obviously some kind of database and you want them to get up to speed as soon as possible. You could ask them to install the application and database themselves or you could support them with it, but this would cause a lot of effort. What if you handed them over a simple YAML file which would get them up to speed in a few minutes? In this post we will explore some of the capabilities of Docker Compose in order to accomplish this.
In part 1 of this post, we learned how to create a Spring Boot application, create a Docker image for it and push it to a Docker registry. At the end, we installed Minikube in an Ubuntu VM. In this second part, we will get familiar with some Kubernetes terminology, deploy the application to our Minikube cluster and update the application. The sources used for the application can be found at GitHub. The Docker registry which we use can be found here (or you can use your own Docker registry).