container, devops, docker, Java, openshift, PaaS, Red Hat OpenJDK 8, S2I

Deploy Java SpringBoot artifact to OpenShift Container Platform

What is OpenShift?

OpenShift  is Red Hat’s  platform-as-a-service (PaaS) product, built around a core of application containers powered by Docker, with orchestration and management provided by Kubernetes, on a foundation of Red Hat Enterprise Linux.

Why PaaS?

PaaS automates the hosting, configuration, deployment, and administration of application stacks in an elastic cloud environment. It gives app developers self-service access so they can easily deploy applications on demand.

Getting Started

Sign-up for OpenShift and install the CLI.

Below example shows how to deploy a SpringBoot Java artifact into OpenShift via S2I .

Step 1: If  VPN ( Virtual Private Network ) is needed to access OpenShift log into VPN. Else skip this step

Step 2: Sign into OpenShift url

Step 3Connect to OpenShift CLI. 

Note: If proxy is involved, NO_PROXY must be set in order to connect from OpenShift CLI.  Windows users can set it in .bash_rc and MAC users in ~/.profile

Eg:

export NO_PROXY=openshift-starter-us-west-1.openshift.com

Openshift CLI config file resides in /Users/<user>/.kube/config .

Step 4: Copy Login Command from OpenShift console and paste it in CLI.

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Eg:

oc login https://api.starter.us-west-1.openshift.com –token=bkG0ec5vp1234556778ffss

Step 5:   Create a New Project using the below command

                oc new-project curtis-tech

Step 6: From open shift console , browse catalog and select “Red Hat OpenJDK 8” to build and deploy java from git repository. We are following the S2I ( Source to Image Concept)

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When you hit the create button, it will trigger a build under Builds->Build

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When the build is successfully complete, check Applications->Pod ( Log tab to see if the springboot application is started )

Step 7: Click on Applications->Route and hit on the url. You will see the below

Screen Shot 2018-05-23 at 3.49.01 PM

Now you have successfully deployed your application on OpenShift!

CaaS, container, devops, docker, mac, redis

Docker

Docker is a container platform provider to address every application across the hybrid cloud. Docker enables true independence between applications and infrastructure and developers and IT ops to unlock their potential and creates a model for better collaboration and innovation.

Get Started

Once Docker is installed , we’ll start by creating the Dockerfile. Then we’ll create the Docker image from the Dockerfile. We’ll run it as a containerized service. Then finally, we’ll learn how to use the Docker hub to share your Docker images.

Step 1: Install Docker CE

Step 2: Open ‘Docker QuickStart Terminal  (In MAC Spotlight, Search for ‘Docker QuickStart Terminal’ )

Scenario:  Say for example, we are creating a new application and need a Redis service. In a distributed environment, we want everyone to use the same set of configured services to prevent surprises during deployment. A simple solution is to create a Redis Docker image and distribute it across the teams.

Step 3: Create a Docker File

Create a new folder called “docker_image”. After creating the folder, create the empty Dockerfile:

$ mkdir docker_image

$ cd docker_image

$ sudo touch Dockerfile

Now that the Dockerfile is created, open it in a text editor and set the base image and maintainer information. Next, update application to have the latest version of Redis and Install the Redis Server. Finally, expose the default port for Redis using the EXPOSE instruction and then set the entrypoint for the image.

You can now save the file. Here’s how it should look:

# Set the base image
FROM ubuntu

# Dockerfile author / maintainer
MAINTAINER Name <email.id@here>

# Update application repository list and install the Redis server.
RUN apt-get update && apt-get install -y redis-server

# Expose default port
EXPOSE 6379

# Set the default command
ENTRYPOINT [“/usr/bin/redis-server”]

Step 4: Build the Docker Image

Dockerfile is ready, let’s create the image. Run this command:

$ docker build -t redis-server .

Path is a mandatory argument for the build command. We use . as the path because we’re currently in the same directory.  -t flag is used to tag the image.

Step 5: Run a Redis-Server Instance

With the image we just created, we can now create a container running a Redis server instance inside. Run this command:

$ docker run –name redis_instance -t redis-server

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This creates a container with the name redis_instance. It is a good practice to assign the name for the container or else you will need to deal with complex alphanumeric container IDs.

Useful Docker Commands:

Command to list docker image

$ docker image ls

Command to list docker containers

$ docker ps

Command to kill Conatiner

$ docker kill redis_instance

Command to save docker image

$ docker save redis-server > redis-server-image.tar

Step 6: Upload to Docker Hub

Now that we’ve successfully built an image and created a container, let’s share the images using Docker Hub.

Create login credentials in Docker Hub 

$ docker login

$ docker tag b538350ff2a3 curtistechnologies/redis-server:version1.0

$ docker image push curtistechnologies/redis-server:version1.0

$ docker image pull curtistechnologies/redis-server:version1.0