You are using Docker for development and testing purposes but did not yet take the step to use it in production? Then read on, because in this blog post we will take a look at how you can ensure that you run your Docker containers in a secure way.
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 explained how we can create a Helm Chart for our application and how to package it. In part 2 we will cover how to install the Helm package to a Kubernetes cluster, how to upgrade our Helm Chart and how to rollback our Helm Chart.
In this post we will explain how we can use Helm for installing our application. In part 1 we will take a look how we can create a Helm Chart for our application and how to package it. In part 2 we will cover how to install the Helm package to a Kubernetes cluster, how to upgrade our Helm Chart and how to rollback our Helm Chart.
In this post we will take a closer look at Helm: a package manager for Kubernetes. We will take a look at the terminology used, install the Helm Client and Server, deploy an existing packaged application and take a look at some useful Helm commands.
This week, we will take a look at Red Hat Container Development Kit (CDK). CDK provides a pre-built Container Development Environment based on Red Hat Enterprise Linux to help you develop container-based applications quickly. We will install CDK on a Windows machine and deploy our mykubernetesplanet Docker image from our last post to the Kubernetes cluster.
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).