In this post, we will take a look at how we can use Google Cloud Vision from a Spring Boot application. With Google Cloud Vision it is possible to derive all kinds of things from images, like labels, face and text recognition, etc. As a bonus, some examples with Python are provided too.
In this post we will explore how we can use Google Cloud Platform’s (GCP) Pub/Sub service in combination with a Spring Boot application using Spring Integration. We will send a message to a sender application which publishes the message to a Topic where a receiver application receives the messages of a Subscription.
You are looking for an easy way to automatically build your application in the Cloud? Then maybe Google Cloud Platform (GCP) Cloud Build is something for you. In this post, we will build a Spring Boot Maven project with Cloud Build, create a Docker image for it and push it to GCP Container Registry.
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.
The past year, we wrote some articles using Minikube as Kubernetes cluster in order to experiment with. In this post, we will take our first steps into Google Cloud Platform (GCP) and more specifically of Kubernetes Engine. Let’s see whether going to the Cloud makes our lives even easier ;-). We will create a GCP account, create a Kubernetes cluster, deploy our application manually and deploy by means of Helm.