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Blue / Green deployments in OpenShift with Eclipse JKube

rmarting

Jose Roman Martin Gil

Posted on December 10, 2020

Blue / Green deployments in OpenShift with Eclipse JKube

Blue Green Deployment is an application release model very well-known that gradually transfers user traffic from a previous version of an application or microservice to a nearly identical new release—both of which are running in production.

The old version of the application or microservice is identified with a color (e.g: Blue) while the new version is identified with the other color (e.g: Green). This model allows to manage the production traffic from one color (old version) to the other (new version), and the old version can standby in case of rollback or pulled from production and updated to become the template upon which the next update is made 💫.

This model requires a Continuous Deployment model or pipeline 📨 to orchestrate the promotion between each color and manage the down times or rolling process. CD pipelines could be implemented using the capabilities provided by Eclipse JKube 🎇💡.

Eclipse JKube is a collection of plugins that are used for building container images using Docker, JIB or S2I build strategies. In addition, Eclipse JKube generates and deploys Kubernetes/OpenShift manifests (YAML configuration files) at compile time too.

This article describes an approach to integrate a Blue/Greendeployment with Eclipse JKube. This approach is based inMaven Profilesand filtering resources. Of course, this is only an integration sample and it is open to have other approaches. For example, I would like to dig into the Eclipse JKube Profiles as other approach 👍. However, feel free to add your ideas, comments or suggestions 💘.

Identifying Blue / Green Version

Every time we want to deploy a new version it is needed to identify the right color to be used to deploy it. This process should be done in the CD pipeline before to deploy our next application version.

For example we could use a variable called app.bg.version in the pom.xml file. To declare each version a Maven Profile could help us. This variable will be used to filter some resources at deployment time.

Sample Maven profile for Blue Deployment:

<profile>
    <id>blue</id>
    <properties>
        <app.bg.version>blue</app.bg.version>
    </properties>
</profile>
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Sample Maven profile for Green Deployment:

<profile>
    <id>green</id>
    <properties>
        <app.bg.version>green</app.bg.version>
    </properties>
</profile>
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This value could also be used to define the version of the image built. A sample of that could be using the jkube.generator.name property in the pom.xml file as:

<jkube.generator.name>${project.artifactId}-${app.bg.version}:${project.version}</jkube.generator.name>
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Defining Blue/Green Objects

Each Blue and Green version should use its own resources at deployment time to avoid replace or redeploy the other deployment. To do that we would useEclipse JKube resource fragmentsto declare specific definitions of some Kubernetes or OpenShift objects.

In our case we will declare a custom deployment object creating a deployment.yml file in the jkube folder. This custom deployment will override some properties to use the active version at deployment time.

A sample of this file could be similar to:

metadata:
  name: ${project.artifactId}-${app.bg.version}
  labels:
    group: ${project.groupId}
    project: ${project.artifactId}
    version: ${project.version}-${app.bg.version}
    provider: jkube
spec:
  template:
    spec:
      containers:
        - env:
          - name: APP_BG_VERSION
            value: ${app.bg.version}
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To access the version deployed a service is needed to map it. This service should be aligned with the right version. A service.yml file in the jkube folder similar to the next one could be similar to:

metadata:
  name: ${project.artifactId}-${app.bg.version}
  labels:
    group: ${project.groupId}
    project: ${project.artifactId}
    version: ${project.version}-${app.bg.version}
    provider: jkube
    expose: "true"
spec:
  selector:
    deploymentconfig: ${project.artifactId}-${app.bg.version}
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Deploying the Blue Version

Now, we could deploy the Blue version easily using the Maven Profile. For example, using the OpenShift Maven Plugin the command will be similar to:

❯ mvn clean package oc:resource oc:build oc:apply -Pblue
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Deploying the Green Version

On the other hand, we could deploy the Green version easily using the Maven Profile. For example, using the OpenShift Maven Pluginthe command will be similar to:

❯ mvn clean package oc:resource oc:build oc:apply -Pgreen
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Blue/Green Resources Deployed

This process generates the following objects:

  • Image Streams 📷 for each version: 
❯ oc get is
NAME IMAGE REPOSITORY TAGS UPDATED
kafka-clients-quarkus-sample-blue default-route-openshift-image-registry.apps-crc.testing/amq-streams-demo/kafka-clients-quarkus-sample-blue 1.0.0-SNAPSHOT,1.2.0-SNAPSHOT 38 hours ago
kafka-clients-quarkus-sample-green default-route-openshift-image-registry.apps-crc.testing/amq-streams-demo/kafka-clients-quarkus-sample-green 1.1.0-SNAPSHOT,1.3.0-SNAPSHOT 38 hours ago
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  • Build Config 👷 for each version: 
❯ oc get bc
NAME TYPE FROM LATEST
kafka-clients-quarkus-sample-blue-s2i Source Binary 4
kafka-clients-quarkus-sample-green-s2i Source Binary 2
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  • Deployments ✨ for each version: 
❯ oc get dc
NAME REVISION DESIRED CURRENT TRIGGERED BY
kafka-clients-quarkus-sample-blue 7 1 1 config,image(kafka-clients-quarkus-sample-blue:1.0.0-SNAPSHOT)
kafka-clients-quarkus-sample-green 5 1 1 config,image(kafka-clients-quarkus-sample-green:1.1.0-SNAPSHOT)
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  • Services 👀 for each version: 
❯ oc get svc
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
kafka-clients-quarkus-sample-blue ClusterIP 172.25.180.88 <none> 8181/TCP 38h
kafka-clients-quarkus-sample-green ClusterIP 172.25.87.170 <none> 8181/TCP 38h
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Thanks of all these objects we could manage both versions at the same time, and in combination with a CD pipeline and other resources could manage the traffic to activate the right version (Blue or Green) to the final users.

For example, we could have an OpenShift route to balance the application between each versions. That route could be similar to:

kind: Route
apiVersion: route.openshift.io/v1
metadata:
  name: kafka-clients-quarkus-sample-lb
  labels:
    app: kafka-clients-quarkus-sample
spec:
  to:
    kind: Service
    name: kafka-clients-quarkus-sample-blue
    weight: 100
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Rolling from Blue to Green

To roll from Blue to Green version it is only to path the load balancer route (in the case of OpenShift) as:

❯ oc patch route kafka-clients-quarkus-sample-lb --type=merge -p '{"spec": {"to": {"name": "kafka-clients-quarkus-sample-green"}}}'
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Rolling from Green to Blue

To roll from Green to Blue version it is only to path the load balancer route (in the case of OpenShift) as:

❯ oc patch route kafka-clients-quarkus-sample-lb --type=merge -p '{"spec": {"to": {"name": "kafka-clients-quarkus-sample-blue"}}}'
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Show me the code

If you want to test and verify this approach, I developed a sample case in one of my favoriteGitHub repo. This repo includes amazing frameworks as Quarkus, Schemas Avroand Apache Kafka in a small Event-Driven Architecture.

Enjoy it! 💪

References

💖 💪 🙅 🚩
rmarting
Jose Roman Martin Gil

Posted on December 10, 2020

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