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This repository contains a set of tools supporting the development of Kubernetes applications deployable via Google Cloud Marketplace.

Getting Started

See the how to build your application deployer documentation.



  • The marketplace-k8s-app-example repository contains example applications.

  • The click-to-deploy repository contains more examples. This is the source code backing Google Click to Deploy Kubernetes applications listed on Google Cloud Marketplace.

Coding style

We follow Google's coding style guides.


Setting up

Log in gcloud with a Service Account

Instead of using your personal credential to log in, it's recommended to use a Service Account instead.

A new Service Account and proper permissions can be created using the following commands. PROJECT-ID is the (non-numeric) identifier of your GCP project. This assumes that you're already logged in with gcloud.

gcloud iam service-accounts create \
  marketplace-dev-robot \
  --project PROJECT-ID \
  --display-name "GCP Marketplace development robot"

gcloud projects add-iam-policy-binding PROJECT-ID \
  --member \
  --role roles/editor

gcloud projects add-iam-policy-binding PROJECT-ID \
  --member \
  --role roles/container.admin

The created Service Account email will be Note that you can replace marketplace-dev-robot with another name.

Now you can switch gcloud to using the Service Account by creating and downloading a one-time key, and activate it.

gcloud iam service-accounts keys create ~/marketplace-dev-robot-key.json \

gcloud auth activate-service-account \
  --key-file ~/marketplace-dev-robot-key.json

You should keep ~/marketplace-dev-robot-key.json credential key in a safe location. Note that this is the only copy; the generated key cannot be downloaded again.

Log in application default credentials for kubectl

kubectl connecting to GKE requires application default credentials. Log in using the following command:

gcloud auth application-default login

Running the doctor command

At the very least, you need to connect to a GKE cluster. Follow this instruction to ensure you have a properly setup environment.

Run tests locally

Run unit tests:

make tests/py

Run integration tests:

make tests/integration

Build deployers locally

Set deployers container tag:


Build container images:

make marketplace/build
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