Deploying Microservices Based Java Application on Docker & Kubernetes

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by Navdeep Singh Gill | December 17, 2017 |  Categories -  Docker, Kubernetes, Java, Microservices Deploying Microservices Based Java Application on Docker & Kubernetes


Running Containers at any real-world scale requires container orchestration and scheduling platform like Docker Swarm, Apache Mesos, AWS ECS but the most popular out of it is Kubernetes. Kubernetes is an open source system for automating deployment and management of containerized applications. 

In this post, We’ll share the process how you can Develop and Deploy Microservices based Java Application on the Container Environment -  Docker and Kubernetes and adopt DevOps in existing Java Application.


To follow this guide you need -

Kubernetes is an open source platform that automates container operations and Minikube is best for testing kubernetes.

You May also Love to Read Kubernetes Overview, Monitoring & Security

Kubectl is command line interface to manage kubernetes cluster either remotely or locally. To configure kubectl on your machine follow this link.

Shared Persistent Storage is permanent storage that we can attach to the kubernetes container so that we don`t lose our data even container died.we will be using GlusterFS as the persistent data store for kubernetes container applications.

Application Source Code is source code that we want to run inside a kubernetes container.

Dockerfile contains a bunch of commands to build java application.

The Registry is an online image store for container images.

The below-mentioned options are few most popular registries.

Creating a Dockerfile

The below-mentioned code is sample dockerfile for Java applications. In which we are using Maven 3 as the builder and OpenJDK 8 as Java development environment with Alpine Linux due to its very compact size.

Building Java Application Image

The below-mentioned command will build your application container image.

Publishing Container Image

Now we publish our Java application container images to any container registry like Docker Hub, AWS ECR, Google Container Registry, Private Docker Registry.

I am using docker hub registry to publish images to the Kubernetes cluster.

Create a account on docker hub and create a Public/Private Repository of your application name.

To login to your docker hub account. Execute the below-mentioned command.

Now we need to retag java application image and push them to docker hub container registry.

To Retag application container image

To Push application container Images

Similarly, we can push images to any of above-mentioned container registry like Docker Hub, AWS ECR, Google Container Registry, Private Docker Registry etc.

Setting Persistent Volume

Persistent Volume is only required if your application has to save some data other than a database like documents, images, video etc then we need to use the persistent volume that kubernetes support like was AWS EBC, CephFS, GlusterFS, Azure Disk, NFS etc.

I will be attaching GlusterFS volume as a persistent volume to the kubernetes container.

GlusterFS volumes are very simple and easy to create. Follow the below mentioned commands.

Setting Persistent Volume For Kubernetes

Creating Deployment files for Kubernetes

Deploying application on kubernetes with ease using deployment and service files either in JSON or YAML format.

  • Deployment File

Following Content is for “<name of application>.deployment.yml” file of python container application.

  • Service File

Following Content is for “<name of application>.service.yml” file of python container application.

Running Java Application on Kubernetes

Java Container Application can be deployed either by kubernetes Dashboard or Kubectl (Command line).

I`m explaining command line that you can use in production kubernetes cluster.

Now we have successfully deployed Java Application on Kubernetes.


We can verify application deployment either by using Kubectl or Kubernetes Dashboard.

Below mentioned command will show you running pods of your application with status running/terminated/stop/created.

Result of above command

Information of Kubernetes Pods


Get the External Node Port using the below-mentioned command.External Node Port is in the range from 30000 to 65000.

Launch web Browser and open any of the below-mentioned URLs.

  • http://<kubernetes master ip address >: <application service port number>

  • http://<cluster ip address >: <application port number>


  • Check Status of Pods.

  • Check Logs of Pods/Containers.

  • Check Service Port Status.

  • Check requirements/dependencies of application.

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