2.1 Containerize an application

Mon, 01 Jan 0001 00:00:00 +0000

The main goal of this lab is to show you how to containerize a Java application. Including deployment on OpenShift and exposing the service with a route. In this example, we want to build a microservice-based on Quarkus , which produces random data when it’s REST interface is called. Another Quarkus microservice consumes then the data and exposes it to its endpoint.

+----------+ +----------+
| producer +<-------------------+ consumer +
+----------+ +----------+

Some words about Quarkus:

2.2 Configure the application

Mon, 01 Jan 0001 00:00:00 +0000

In this stage, we show you how to configure your application. For this lab the application of the previous lab is used.

Task 2.2.1: Update application port inside deployment

We will change the port of the application. With this change we need to adapt the deployment first. There are three ports to change. The container port itself, and the ports for the liveness/readiness probes.

apiVersion: apps.openshift.io/v1
kind: DeploymentConfig
metadata:
 annotations:
 image.openshift.io/triggers: '[{"from":{"kind":"ImageStreamTag","name":"data-producer:rest"},"fieldPath":"spec.template.spec.containers[?(@.name==\"data-producer\")].image"}]'
 labels:
 app: data-producer
 application: amm-techlab
 name: data-producer
spec:
 replicas: 1
 selector:
 deploymentConfig: data-producer
 strategy:
 type: Recreate
 template:
 metadata:
 labels:
 application: amm-techlab
 deploymentConfig: data-producer
 spec:
 containers:
 - image: data-producer
 imagePullPolicy: Always
 livenessProbe:
 failureThreshold: 5
 httpGet:
 path: /health/live
 port: 8080
 scheme: HTTP
 initialDelaySeconds: 3
 periodSeconds: 20
 timeoutSeconds: 15
 readinessProbe:
 failureThreshold: 5
 httpGet:
 path: /health/ready
 port: 8080
 scheme: HTTP
 initialDelaySeconds: 3
 periodSeconds: 20
 timeoutSeconds: 15
 name: data-producer
 ports:
 - containerPort: 8080
 name: http
 protocol: TCP
 resources:
 limits:
 cpu: '1'
 memory: 500Mi
 requests:
 cpu: 50m
 memory: 100Mi
 triggers:
 - imageChangeParams:
 automatic: true
 containerNames:
 - data-producer
 from:
 kind: ImageStreamTag
 name: data-producer:rest
 type: ImageChange
 - type: ConfigChange

source

2. Build and deploy a container image on Application Migration and Modernization Techlab

2.1 Containerize an application

2.2 Configure the application

Task 2.2.1: Update application port inside deployment