Build an application with buildpacks

This guide shows you how to use buildpacks with your application source code to create a container image. For example, use buildpacks to build the source code of your Cloud Run service into a container image.

There are two methods for building container images with buildpacks:

  • Build locallywith the pack CLI to locally test your application and rapidly prototype changes before deployment.
  • Build remotelywith Cloud Build . Building with Cloud Build is useful for large applications that have a resource-intensive build processes and can also help protect your software supply chain .

Local builds

You use the pack CLI to locally build your application into a container image.

Before you begin

  1. Install Docker Community Edition (CE) on your workstation. Docker is used by pack as an OCI image builder.
  2. Install Pack CLI .
  3. Install the Git source control tool to fetch the sample application from GitHub.

Build an application locally

You use the pack build command and specify the default builder --builder=gcr.io/buildpacks/builder to build your container images locally.

 pack  
build  
--builder = 
gcr.io/buildpacks/builder  
 IMAGE_NAME 
 

Replace IMAGE_NAME with the name of your service's container image.

You can also customize your container image by extending the build and run images .

Build a sample application locally

The following examples demonstrate how to build a sample locally.

  1. Clone the sample repository to your local machine:
    git  
    clone  
    https://github.com/GoogleCloudPlatform/buildpack-samples.git
  2. Change to the directory that contains the application sample code:

    Go

    cd buildpack-samples/sample-go

    Java

    cd buildpack-samples/sample-java-gradle

    Node.js

    cd buildpack-samples/sample-node

    PHP

    cd buildpack-samples/sample-php

    Python

    cd buildpack-samples/sample-python

    Ruby

    cd buildpack-samples/sample-ruby

    .NET

    cd buildpack-samples/sample-dotnet
  3. Use pack to build the sample application image:

    Go

    pack build --builder=gcr.io/buildpacks/builder sample-go

    Java

    pack build --builder=gcr.io/buildpacks/builder sample-java-gradle

    Node.js

    pack build --builder=gcr.io/buildpacks/builder sample-node

    PHP

    pack build --builder=gcr.io/buildpacks/builder sample-php

    Python

    pack build --builder=gcr.io/buildpacks/builder sample-python

    Ruby

    pack build --builder=gcr.io/buildpacks/builder sample-ruby

    .NET

    pack build --builder=gcr.io/buildpacks/builder sample-dotnet
  4. Run the image using docker :

    Go

    docker run -p8080:8080 sample-go

    Java

    docker run -it -ePORT=8080 -p8080:8080 sample-java-gradle

    Node.js

    docker run -it -ePORT=8080 -p8080:8080 sample-node

    PHP

    docker run -it --rm -p 8080:8080 sample-php

    Python

    docker run -it -ePORT=8080 -p8080:8080 sample-python

    Ruby

    docker run -it -ePORT=8080 -p8080:8080 sample-ruby

    .NET

    docker run -it -ePORT=8080 -p8080:8080 sample-dotnet
  5. Visit the running application by browsing to localhost:8080 .

Remote builds

Use Cloud Build to build your application into a container image and Artifact Registry as the container repository from where you store and deploy each image.

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. Verify that billing is enabled for your Google Cloud project .

  4. Enable the Cloud Build and Artifact Registry APIs.

    Enable the APIs

  5. Install the Google Cloud CLI.

  6. If you're using an external identity provider (IdP), you must first sign in to the gcloud CLI with your federated identity .

  7. To initialize the gcloud CLI, run the following command:

    gcloud  
    init
  8. In the Google Cloud console, on the project selector page, select or create a Google Cloud project.

    Go to project selector

  9. Verify that billing is enabled for your Google Cloud project .

  10. Enable the Cloud Build and Artifact Registry APIs.

    Enable the APIs

  11. Install the Google Cloud CLI.

  12. If you're using an external identity provider (IdP), you must first sign in to the gcloud CLI with your federated identity .

  13. To initialize the gcloud CLI, run the following command:

    gcloud  
    init
  14. Ensure that your Google Cloud project has access to a container image repository.

    To configure access to a Docker repository in Artifact Registry :

    1. Create a new Docker repository in the same location of your Google Cloud project.
      gcloud  
      artifacts  
      repositories  
      create  
       REPO_NAME 
        
       \ 
      --repository-format = 
      docker  
       \ 
      --location = 
       REGION 
        
      --description = 
       " DESCRIPTION 
      " 
      
      Replace:
      • REPO_NAME with the name that you choose for your Docker repository.
      • REGION with the location in or nearest to the location of your Google Cloud project.
      • DESCRIPTION with a description of your choice.

      For example, to create a docker repository in us-west2 with the description "Docker repository", you run:

      gcloud  
      artifacts  
      repositories  
      create  
      buildpacks-docker-repo  
      --repository-format = 
      docker  
       \ 
      --location = 
      us-west2  
      --description = 
       "Docker repository" 
      
    2. Verify that your repository was created:
      gcloud  
      artifacts  
      repositories  
      list

      You should see name that you choose for your Docker repository in the list.

Build an application remotely

You use the gcloud builds submit command to build and upload your container image to your repository.

You can choose to specify your container image in the command itself or use a configuration file.

Build with command

To build without a configuration file, you specify the image flag:

gcloud  
builds  
submit  
--pack  
 image 
 = 
 LOCATION 
-docker.pkg.dev/ PROJECT_ID 
/ REPO_NAME 
/ IMAGE_NAME 

Replace:

  • LOCATION with the region name of your container repository. Example: us-west2
  • PROJECT_ID with the ID of your Google Cloud project.
  • REPO_NAME with the name of your Docker repository.
  • IMAGE_NAME with the name of your container image.

Example:

gcloud builds submit --pack image=us-west2-docker.pkg.dev/my-project-id/my-buildpacks-docker-repo/app-image

Build with configuration files

You can use a configuration file to define your image repository configuration details to simply the build command. The configuration file uses the YAML file format and must include a build step that uses the pack CLI.

  1. Create a YAML file name cloudbuild.yaml that includes the URI of your container image repository.
  
 options 
 : 
  
 logging 
 : 
  
 CLOUD_LOGGING_ONLY 
  
 pool 
 : 
  
 {} 
  
 projectId 
 : 
  
  PROJECT_ID 
 
  
 steps 
 : 
  
 - 
  
 name 
 : 
  
 gcr.io/k8s-skaffold/pack 
  
 entrypoint 
 : 
  
 pack 
  
 args 
 : 
  
 - 
  
 build 
  
 - 
  
  LOCATION 
 
-docker.pkg.dev/ PROJECT_ID 
/ REPO_NAME 
/ IMAGE_NAME 
  
 - 
  
 --builder 
  
 - 
  
 gcr.io/buildpacks/builder:latest 
  
 - 
  
 --network 
  
 - 
  
 cloudbuild 
  
 images 
 : 
  
 - 
  
  LOCATION 
 
-docker.pkg.dev/ PROJECT_ID 
/ REPO_NAME 
/ IMAGE_NAME 

Replace:

  • LOCATION with the region name of your container repository, for example, us-west2 .
  • PROJECT_ID with the ID of your Google Cloud project.
  • REPO_NAME with the name of your Docker repository.
  • IMAGE_NAME with the name of your container image.
  1. Build the application.

    If you named your configuration file cloudbuild.yaml , you can run the following command:

     gcloud  
    builds  
    submit  
    . 
    

Example: Build a sample application remotely

The following examples demonstrate how to build a sample remotely and then verify that the container image was pushed to your repository in Artifact Registry.

  1. Clone the sample repository to your local machine:
    git  
    clone  
    https://github.com/GoogleCloudPlatform/buildpack-samples.git
  2. Change to the directory that contains the application sample code:

    Go

    cd buildpack-samples/sample-go

    Java

    cd buildpack-samples/sample-java-gradle

    Node.js

    cd buildpack-samples/sample-node

    PHP

    cd buildpack-samples/sample-php

    Python

    cd buildpack-samples/sample-python

    Ruby

    cd buildpack-samples/sample-ruby

    .NET

    cd buildpack-samples/sample-dotnet
  3. Use gcloud to submit the application source code to Cloud Build:

    Go

    gcloud builds submit --pack image= LOCATION 
    -docker.pkg.dev/ PROJECT_ID 
    / REPO_NAME 
    /sample-go

    Java

    gcloud builds submit --pack image= LOCATION 
    -docker.pkg.dev/ PROJECT_ID 
    / REPO_NAME 
    /sample-java-gradle

    Node.js

    gcloud builds submit --pack image= LOCATION 
    -docker.pkg.dev/ PROJECT_ID 
    / REPO_NAME 
    /sample-node

    PHP

    gcloud builds submit --pack image= LOCATION 
    -docker.pkg.dev/ PROJECT_ID 
    / REPO_NAME 
    /sample-php

    Python

    gcloud builds submit --pack image= LOCATION 
    -docker.pkg.dev/ PROJECT_ID 
    / REPO_NAME 
    /sample-python

    Ruby

    gcloud builds submit --pack image= LOCATION 
    -docker.pkg.dev/ PROJECT_ID 
    / REPO_NAME 
    /sample-ruby

    .NET

    gcloud builds submit --pack image= LOCATION 
    -docker.pkg.dev/ PROJECT_ID 
    / REPO_NAME 
    /sample-dotnet
  4. Verify that the sample application was successfully published to REPO_NAME :
    gcloud  
    artifacts  
    docker  
    images  
    list  
     LOCATION 
    -docker.pkg.dev/ PROJECT_ID 
    / REPO_NAME 
    

    Replace:

    • LOCATION with the region name of your container repository. Example: us-west2
    • PROJECT_ID with the ID of your Google Cloud project.
    • REPO_NAME with the name of your Docker repository.

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