Building Java containers with Jib


Jib builds containers without using a Dockerfile or requiring a Docker installation. You can use Jib in the Jib plugins for Maven or Gradle, or you can use the Jib Java library.

What does Jib do?

Jib handles all steps of packaging your application into a container image. You don't need to know best practices for creating Dockerfiles or have Docker installed.

Docker build flow:

Diagram showing the stages from
       project to Container Registry using Docker.

Jib build flow:

Diagram showing no intermediary
       stages from project to container registry using Jib.

Jib organizes your application into distinct layers; dependencies, resources, and classes; and utilizes Docker image layer caching to keep builds fast by only rebuilding changes. Jib's layer organization and small base image keeps overall image size small which improves performance and portability.

Before you begin

  1. Sign in to your Google Cloud account. If you're new to Google Cloud, create an account to evaluate how our products perform in real-world scenarios. New customers also get $300 in free credits to run, test, and deploy workloads.
  2. In the Google Cloud console, on the project selector page, select or create a Google Cloud project.

    Go to project selector

  3. Make sure that billing is enabled for your Google Cloud project.

  4. In the Google Cloud console, on the project selector page, select or create a Google Cloud project.

    Go to project selector

  5. Make sure that billing is enabled for your Google Cloud project.

  6. Enable the Container Registry API.

    Enable the API

  7. If you don't have Java, download, install, and configure it.
  8. Install Maven 3.5 or newer.
  9. Install and initialize the Google Cloud CLI.
  10. Authenticate to Container Registry, using the Google Cloud CLI as a Docker credential helper:
    gcloud auth configure-docker
    Optionally, refer to Jib configuration documentation for other ways of authenticating.

Building using Jib

  1. Select an existing project and navigate to the source folder or clone the sample with the following command:

         git clone https://github.com/GoogleCloudPlatform/java-docs-samples.git
         cd java-docs-samples/run/helloworld

  2. Add the plugin to your pom.xml:

    <plugin>
      <groupId>com.google.cloud.tools</groupId>
      <artifactId>jib-maven-plugin</artifactId>
      <version>2.8.0</version>
      <configuration>
        <to>
          <image>gcr.io/PROJECT/IMAGE</image>
        </to>
      </configuration>
    </plugin>
    

    Replace

    • PROJECT with your Google Cloud project ID.
    • IMAGE with your image name.

    If you don't want to modify your pom.xml, you can use the command:

        mvn compile com.google.cloud.tools:jib-maven-plugin:3.1.1:build \
            -Djib.from.image=eclipse-temurin \
            -Djib.to.image=gcr.io/PROJECT/IMAGE
  3. Build and push the image to a container registry:

    mvn compile jib:build

    You can verify success by viewing your container in your Container Registry.

    Optionally, if you have Docker installed, you can build to your local Docker installation, so you can inspect or run the image as any other local container:

    mvn compile jib:dockerBuild

Additional customizations

You can customize your Jib builds in similar ways to Dockerfiles, such as adding environment variables and selecting a base image.

Add environment variables

You can add environment variables to your build similar to the ENV instruction in a Dockerfile, as follows:

<plugin>
  <groupId>com.google.cloud.tools</groupId>
  <artifactId>jib-maven-plugin</artifactId>
  <version>2.8.0</version>
  <configuration>
    <to>
      <image>gcr.io/PROJECT/IMAGE</image>
    </to>
    <container>
      <environment>
        <ENV_VAR>VALUE</ENV_VAR>
      </environment>
    </container>
  </configuration>
</plugin>

Replace

  • PROJECT with your Google Cloud project ID.
  • IMAGE with your image name.
  • ENV_VAR with NAME.
  • VALUE with the desired value.

Now your application will respond with Hello <var>VALUE</var>!

Change the base image

The base image is equivalent to the FROM instructions in a Dockerfile. The base image can be updated by changing the field from.image.

If you would like to include a shell for debugging, set the base image to alpine:3 or openjdk:VERSION (if Java is needed).

In order to add system packages, you will have to create a base image with those packages installed. Refer to Building containers for more information.

  <plugin>
    <groupId>com.google.cloud.tools</groupId>
    <artifactId>jib-maven-plugin</artifactId>
    <version>2.8.0</version>
    <configuration>
      <from>
        <image>gcr.io/PROJECT/BASE_IMAGE</image>
      </from>
      <to>
        <image>gcr.io/PROJECT/IMAGE_NAME</image>
      </to>
    </configuration>
  </plugin>

Try updating the from.image field to another Java base image, such as openjdk:8-alpine.

Customizing other Java aspects

Jib supports Java runtime configurations that may be needed to run your application. For more customizations, see Extended Usage.

Shipping the code

Setting up gcloud defaults

To configure gcloud with defaults for your Cloud Run service:

  1. Set your default project:

    gcloud config set project PROJECT_ID

    Replace PROJECT_ID with the name of the project you created for this tutorial.

  2. Configure gcloud for your chosen region:

    gcloud config set run/region REGION

    Replace REGION with the supported Cloud Run region of your choice.

Cloud Run locations

Cloud Run is regional, which means the infrastructure that runs your Cloud Run services is located in a specific region and is managed by Google to be redundantly available across all the zones within that region.

Meeting your latency, availability, or durability requirements are primary factors for selecting the region where your Cloud Run services are run. You can generally select the region nearest to your users but you should consider the location of the other Google Cloud products that are used by your Cloud Run service. Using Google Cloud products together across multiple locations can affect your service's latency as well as cost.

Cloud Run is available in the following regions:

Subject to Tier 1 pricing

  • asia-east1 (Taiwan)
  • asia-northeast1 (Tokyo)
  • asia-northeast2 (Osaka)
  • europe-north1 (Finland) leaf icon Low CO2
  • europe-southwest1 (Madrid)
  • europe-west1 (Belgium) leaf icon Low CO2
  • europe-west4 (Netherlands)
  • europe-west8 (Milan)
  • europe-west9 (Paris) leaf icon Low CO2
  • me-west1 (Tel Aviv)
  • us-central1 (Iowa) leaf icon Low CO2
  • us-east1 (South Carolina)
  • us-east4 (Northern Virginia)
  • us-east5 (Columbus)
  • us-south1 (Dallas)
  • us-west1 (Oregon) leaf icon Low CO2

Subject to Tier 2 pricing

  • africa-south1 (Johannesburg)
  • asia-east2 (Hong Kong)
  • asia-northeast3 (Seoul, South Korea)
  • asia-southeast1 (Singapore)
  • asia-southeast2 (Jakarta)
  • asia-south1 (Mumbai, India)
  • asia-south2 (Delhi, India)
  • australia-southeast1 (Sydney)
  • australia-southeast2 (Melbourne)
  • europe-central2 (Warsaw, Poland)
  • europe-west10 (Berlin)
  • europe-west12 (Turin)
  • europe-west2 (London, UK) leaf icon Low CO2
  • europe-west3 (Frankfurt, Germany) leaf icon Low CO2
  • europe-west6 (Zurich, Switzerland) leaf icon Low CO2
  • me-central1 (Doha)
  • me-central2 (Dammam)
  • northamerica-northeast1 (Montreal) leaf icon Low CO2
  • northamerica-northeast2 (Toronto) leaf icon Low CO2
  • southamerica-east1 (Sao Paulo, Brazil) leaf icon Low CO2
  • southamerica-west1 (Santiago, Chile) leaf icon Low CO2
  • us-west2 (Los Angeles)
  • us-west3 (Salt Lake City)
  • us-west4 (Las Vegas)

If you already created a Cloud Run service, you can view the region in the Cloud Run dashboard in the Google Cloud console.

Deploy to Cloud Run

Deploy your container from Container Registry using the gcloud CLI to Cloud Run or Cloud Run for Anthos.

Deploy the container image using the following command:

gcloud run deploy SERVICE-NAME \
    --image gcr.io/PROJECT/IMAGE \
    --platform managed

Replace

  • SERVICE-NAME with your chosen service name.
  • PROJECT with your Google Cloud project ID.
  • IMAGE with your image name.

Notice that the container image is deployed to the service and region (Cloud Run) or cluster (Cloud Run for Anthos) that you configured previously under Setting up gcloud.

If deploying to Cloud Run, you will be prompted to allow unauthenticated invocations. If you want immediate access to your service, respond y, "Yes" to the "allow unauthenticated" prompt. If your service is private and requests must include authentication, respond n, "No" to the "allow unauthenticated" prompt.

If your service is public, use the URL displayed after a successful deployment to visit your deployed container. If your service is private, use the following curl command to invoke your service:

curl -H "Authorization: Bearer $(gcloud auth print-identity-token)" SERVICE_URL

If deployed to Cloud Run for Anthos, see Accessing your deployed service.

Clean up

If you created a new project for this tutorial, delete the project. If you used an existing project and wish to keep it without the changes added in this tutorial, delete resources created for the tutorial.

Deleting the project

The easiest way to eliminate billing is to delete the project that you created for the tutorial.

To delete the project:

  1. In the Google Cloud console, go to the Manage resources page.

    Go to Manage resources

  2. In the project list, select the project that you want to delete, and then click Delete.
  3. In the dialog, type the project ID, and then click Shut down to delete the project.

Deleting tutorial resources

  1. Delete the Cloud Run service you deployed in this tutorial:

    gcloud run services delete SERVICE-NAME

    Where SERVICE-NAME is your chosen service name.

    You can also delete Cloud Run services from the Google Cloud console.

  2. Remove the gcloud default region configuration you added during tutorial setup:

     gcloud config unset run/region
    
  3. Remove the project configuration:

     gcloud config unset project
    

What's next