Running Django on the App Engine flexible environment

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Django apps that run on App Engine flexible scale dynamically according to traffic.

This tutorial assumes that you're familiar with Django web development. If you're new to Django development, it's a good idea to work through writing your first Django app before continuing.

While this tutorial demonstrates Django specifically, you can use this deployment process with other Django-based frameworks, such as Wagtail and Django CMS.

This tutorial uses Django 3, which requires at least Python 3.7. App Engine flexible supports Python 3.7.

Objectives

In this tutorial, you will:

• Create and connect a Cloud SQL database.
• Create and use Secret Manager secret values.

• Deploy a Django app to App Engine flexible.

• Host static files on Cloud Storage.

Costs

In this document, you use the following billable components of Google Cloud:

• App Engine
• Cloud SQL
• Secret Manager

To generate a cost estimate based on your projected usage, use the pricing calculator. New Google Cloud users might be eligible for a free trial.

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.

   Note: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.

   Go to project selector

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

4. Enable the Cloud SQL Admin API, Secret Manager, and Cloud Build APIs.

   Enable the APIs

5. Install the Google Cloud CLI.

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

   gcloud init

   Note: You can run the gcloud CLI in the Google Cloud console without installing the Google Cloud CLI. To run the gcloud CLI in the Google Cloud console, use Cloud Shell.

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

   Note: If you don't plan to keep the resources that you create in this procedure, create a project instead of selecting an existing project. After you finish these steps, you can delete the project, removing all resources associated with the project.

   Go to project selector

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

9. Enable the Cloud SQL Admin API, Secret Manager, and Cloud Build APIs.

   Enable the APIs

10. Install the Google Cloud CLI.

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

    gcloud init

    Note: You can run the gcloud CLI in the Google Cloud console without installing the Google Cloud CLI. To run the gcloud CLI in the Google Cloud console, use Cloud Shell.
12. If you haven't already done so, initialise App Engine and select your preferred region:

    gcloud app create
    

Prepare your environment

Clone a sample app

The code for the Django sample app is in the GoogleCloudPlatform/python-docs-samples repository on GitHub.

1. You can either download the sample as a ZIP file and extract it or clone the repository to your local machine:

   git clone https://github.com/GoogleCloudPlatform/python-docs-samples.git
   

2. Go to the directory that contains the sample code:

   Linux/macOS

   cd python-docs-samples/appengine/flexible_python37_and_earlier/django_cloudsql
   

   Windows

   cd python-docs-samples\appengine\flexible_python37_and_earlier\django_cloudsql
   

Confirm your Python setup

This tutorial relies on Python to run the sample application on your machine. The sample code also requires installing dependencies

For more details, refer to the Python development environment guide.

1. Confirm your Python is at least version 3.7.

    python -V
   

   You should see Python 3.7.0 or higher.

   Note: If you see a version number starting with "2", you may need to run python3 instead of python. If so, remember to reference your chosen Python installation when running python commands.

2. Create a Python virtual environment and install dependencies:

   Linux/macOS

   python -m venv venv
   source venv/bin/activate
   pip install --upgrade pip
   pip install -r requirements.txt
   

   Windows

   python -m venv venv
   venv\scripts\activate
   pip install --upgrade pip
   pip install -r requirements.txt
   

Download Cloud SQL Auth Proxy to connect to Cloud SQL from your local machine

Note: If you are completing this tutorial from Cloud Shell, this section is not required.

When deployed, your app uses the Cloud SQL Auth Proxy that is built into the App Engine flexible environment to communicate with your Cloud SQL instance. However, to test your app locally, you must install and use a local copy of the proxy in your development environment. For more details, refer to the Cloud SQL Auth Proxy guide.

The Cloud SQL Auth Proxy uses the Cloud SQL API to interact with your SQL instance. To do this, it requires application authentication through the gcloud CLI.

1. Authenticate and acquire credentials for the API:

   gcloud auth application-default login
   

2. Download and install the Cloud SQL Auth Proxy to your local machine.

   Linux 64-bit

   1. Download the Cloud SQL Auth Proxy:

      curl -o cloud-sql-proxy https://storage.googleapis.com/cloud-sql-connectors/cloud-sql-proxy/v2.14.0/cloud-sql-proxy.linux.amd64

   2. Make the Cloud SQL Auth Proxy executable:

      chmod +x cloud-sql-proxy

   Linux 32-bit

   1. Download the Cloud SQL Auth Proxy:

      curl -o cloud-sql-proxy https://storage.googleapis.com/cloud-sql-connectors/cloud-sql-proxy/v2.14.0/cloud-sql-proxy.linux.386

   2. If the curl command is not found, run sudo apt install curl and repeat the download command.
   3. Make the Cloud SQL Auth Proxy executable:

      chmod +x cloud-sql-proxy

   macOS 64-bit

   1. Download the Cloud SQL Auth Proxy:

      curl -o cloud-sql-proxy https://storage.googleapis.com/cloud-sql-connectors/cloud-sql-proxy/v2.14.0/cloud-sql-proxy.darwin.amd64

   2. Make the Cloud SQL Auth Proxy executable:

      chmod +x cloud-sql-proxy

   Mac M1

   1. Download the Cloud SQL Auth Proxy:

        curl -o cloud-sql-proxy https://storage.googleapis.com/cloud-sql-connectors/cloud-sql-proxy/v2.14.0/cloud-sql-proxy.darwin.arm64
        

   2. Make the Cloud SQL Auth Proxy executable:

        chmod +x cloud-sql-proxy
        

   Windows 64-bit

   Right-click https://storage.googleapis.com/cloud-sql-connectors/cloud-sql-proxy/v2.14.0/cloud-sql-proxy.x64.exe and select Save Link As to download the Cloud SQL Auth Proxy. Rename the file to cloud-sql-proxy.exe.

   Windows 32-bit

   Right-click https://storage.googleapis.com/cloud-sql-connectors/cloud-sql-proxy/v2.14.0/cloud-sql-proxy.x86.exe and select Save Link As to download the Cloud SQL Auth Proxy. Rename the file to cloud-sql-proxy.exe.

   Cloud SQL Auth Proxy Docker image

   The Cloud SQL Auth Proxy has different container images, such as distroless, alpine, and buster. The default Cloud SQL Auth Proxy container image uses distroless, which contains no shell. If you need a shell or related tools, then download an image based on alpine or buster. For more information, see Cloud SQL Auth Proxy Container Images.

   You can pull the latest image to your local machine using Docker by using the following command:

   docker pull gcr.io/cloud-sql-connectors/cloud-sql-proxy:2.14.0
   

   Note: The Cloud SQL Auth Proxy uses a repository that supports the gcr.io domain but serves images from Artifact Registry. For more information, see Transition from Container Registry.

   Other OS

   For other operating systems not included here, you can compile the Cloud SQL Auth Proxy from source.

   You can choose to move the download to somewhere common, such as a location on your PATH, or your home directory. If you choose to do this, when you start the Cloud SQL Auth Proxy later on in the tutorial, remember to reference your chosen location when using cloud-sql-proxy commands.

Create backing services

This tutorial uses several Google Cloud services to provide the database, media storage, and secret storage that support the deployed Django project. These services are deployed in a specific region. For efficiency between services, all services should be deployed in the same region. For more information about the closest region to you, see Products available by region.

Set up a Cloud SQL for PostgreSQL instance

Django officially supports multiple relational databases, but offers the most support for PostgreSQL. PostgreSQL is supported by Cloud SQL, so this tutorial chooses to use that type of database.

The following section describes the creation of a PostgreSQL instance, database, and database user for the app.

1. Create the PostgreSQL instance:

   Console

   1. In the Google Cloud console, go to the Cloud SQL Instances page.

      Go to the Cloud SQL Instances page

   2. Click Create Instance.

   3. Click Choose PostgreSQL.

   4. For SQL Edition, choose "Enterprise".

   5. For Edition Preset, choose "Sandbox".

   6. In the Instance ID field, enter INSTANCE_NAME.

   7. Enter a password for the postgres user.

   8. Keep the default values for the other fields.

   9. Click Create Instance.

   It takes a few minutes for the instance to be ready for use.

   gcloud

   • Create the PostgreSQL instance:

     gcloud sql instances create INSTANCE_NAME \
         --project PROJECT_ID \
         --database-version POSTGRES_16 \
         --tier db-n1-standard-2 \
         --region REGION
     

   Replace the following:

   • INSTANCE_NAME: the Cloud SQL instance name
   • PROJECT_ID: the Google Cloud project ID
   • REGION: the Google Cloud region

   It takes a few minutes to create the instance and for it to be ready for use.

2. Within the created instance, create a database:

   Console

   1. Within your instance page, go to the Databases tab.
   2. Click Create database.
   3. In the Database Name dialog, enter DATABASE_NAME.
   4. Click Create.

   gcloud

   • Create the database within the recently created instance:

     gcloud sql databases create DATABASE_NAME \
         --instance INSTANCE_NAME
     

     Replace DATABASE_NAME with a name for the database inside the instance.

3. Create a database user:

   Note: Users created this way get additional database rights. See Limit the database user privileges for an alternative method.

   Console

   1. Within your instance page, go to the Users tab.
   2. Click Add User Account.
   3. In the Choose how to authenticate dialog under "Built-in Authentication":
   4. Enter the username DATABASE_USERNAME.
   5. Enter the password DATABASE_PASSWORD
   6. Click Add.

   gcloud

   • Create the user within the recently created instance:

     gcloud sql users create DATABASE_USERNAME \
         --instance INSTANCE_NAME \
         --password DATABASE_PASSWORD
     

     Replace PASSWORD with a secure password.

Set up a Cloud Storage bucket

You can store Django's included static assets, as well as user-uploaded media, in highly-available object storage using Cloud Storage. The django-storages[google] package handles Django's interaction with this storage backend.

Console

1. In the Google Cloud console, go to the Cloud Storage page.

   Go to the Cloud Storage page

2. Click Create Bucket.

3. Enter the following (clicking "Continue" where needed):

   • For Name, enter "PROJECT_ID_MEDIA_BUCKET".
   • For Region, select REGION.
   • For Storage Class, keep the defaults.
   • For Prevent public access, clear "Enforce public access prevention".
   • For Access Control, select "Fine-grained".

4. Keep the default values for the other fields.

5. Click Create.

gcloud

• Create a Cloud Storage bucket:

  gcloud storage buckets create gs://PROJECT_ID_MEDIA_BUCKET --location=REGION
  

  Replace MEDIA_BUCKET with a suffix for the media bucket. Combined with the project ID, this creates a unique bucket name.

Store secret values in Secret Manager

Now that the backing services are configured, Django needs information about these services. Instead of putting these values directly into the Django source code, this tutorial uses Secret Manager to store this information securely.

Create Django environment file as a Secret Manager secret

You store the settings required to start Django in a secured env file. The sample app uses the Secret Manager API to retrieve the secret value, and the django-environ package to load the values into the Django environment. The secret is configured to be accessible by App Engine flexible.

1. Create a file called .env, defining the database connection string, the media bucket name, and a new SECRET_KEY value:

   echo DATABASE_URL=postgres://DATABASE_USERNAME:DATABASE_PASSWORD@//cloudsql/PROJECT_ID:REGION:INSTANCE_NAME/DATABASE_NAME > .env
   echo GS_BUCKET_NAME=PROJECT_ID_MEDIA_BUCKET >> .env
   echo SECRET_KEY=$(cat /dev/urandom | LC_ALL=C tr -dc '[:alpha:]'| fold -w 50 | head -n1) >> .env
   

2. Store the secret in Secret Manager:

   Console

   1. In the Google Cloud console, go to the Secret Manager page.

      Go to the Secret Manager page

   2. Click Create secret

   3. In the Name field, enter django_settings.

   4. In the Secret value dialog, paste the contents of your .env file.

   5. Click Create secret.

   6. Delete the local file to prevent local setting overrides.

   gcloud

   1. Create a new secret, django_settings, with the value of the .env file:

      gcloud secrets create django_settings --data-file .env
      

   2. Delete the local file to prevent local setting overrides:

      rm .env
      

3. Configure access to the secret:

   Console

4. Click the Permissions tab.

5. Click Grant access.

6. In the New Members field, enter [e-mail], and then press Enter.

7. In the Role drop-down menu, select Secret Manager Secret Accessor.

8. Click Save.

gcloud

1. Grant access to the secret to the App Engine flexible service account:

   gcloud secrets add-iam-policy-binding django_settings \
       --member serviceAccount:[e-mail] \
       --role roles/secretmanager.secretAccessor
   

In the output, confirm that bindings lists the new service account.

Run the app on your local computer

With the backing services configured, you can now run the app on your computer. This setup allows for local development, creating a superuser, and applying database migrations.

1. In a separate terminal, start the Cloud SQL Auth Proxy:

   Linux/macOS

   ./cloud-sql-proxy PROJECT_ID:REGION:INSTANCE_NAME
   

   Windows

   cloud-sql-proxy.exe PROJECT_ID:REGION:INSTANCE_NAME
   

   This step establishes a connection from your local computer to your Cloud SQL instance for local testing purposes. Keep the Cloud SQL Auth Proxy running the entire time you test your app locally. Running this process in a separate terminal allows you to keep working while this process runs.

2. In the original terminal, set the Project ID locally (used by the Secret Manager API):

   Linux/macOS

   export GOOGLE_CLOUD_PROJECT=PROJECT_ID
   

   Windows

   set GOOGLE_CLOUD_PROJECT=PROJECT_ID
   

3. Set an environment variable to indicate you are using Cloud SQL Auth Proxy (this value is recognised in the code):

   Linux/macOS

   export USE_CLOUD_SQL_AUTH_PROXY=true
   

   Windows

   set USE_CLOUD_SQL_AUTH_PROXY=true
   

4. Run the Django migrations to set up your models and assets:

   python manage.py makemigrations
   python manage.py makemigrations polls
   python manage.py migrate
   python manage.py collectstatic
   

5. Start the Django web server:

   python manage.py runserver 8080
   

6. In your browser, go to http://localhost:8080.

   If you are in Cloud Shell, click the Web Preview button, and select Preview on port 8080.

   The page displays the following text: "Hello, world. You're at the polls index." The Django web server running on your computer delivers the sample app pages.

7. Press Ctrl/Cmd+C to stop the local web server.

Use the Django admin console

In order to log into Django's admin console, you need to create a superuser. Since you have a locally accessible connection to the database, you can run management commands:

1. Create a superuser. You will be prompted to enter a username, email, and password.

   python manage.py createsuperuser
   

2. Start a local web server:

   python manage.py runserver
   

3. In your browser, go to http://localhost:8000/admin.

4. Log in to the admin site using the username and password you used when you ran createsuperuser.

Note: Since you are connected to your Cloud SQL database, you will log into your deployed Django application with the same credentials.

Deploy the app to the App Engine flexible environment

With all the backing services set up and the application tested locally, you can now deploy the app to App Engine flexible:

1. Open app.yaml and update the value of cloud_sql_instances with your Cloud SQL instance string:

   ...
   beta_settings:
       cloud_sql_instances: PROJECT_ID:REGION:INSTANCE_NAME
   

2. Upload the app by running the following command, which deploys the app as described in app.yaml and sets the newly deployed version as the default version, causing it to serve all new traffic:

   gcloud app deploy

3. Confirm the settings by typing "yes" when prompted.
4. Wait for the message that notifies you that the update has completed.

Running the deployed app

The app has been deployed, and now can be accessed:

• Open the deployed website:

  gcloud app browse
  

• Alternatively, display the URL and open manually:

  gcloud app describe --format "value(defaultHostname)"
  

Your request is served by a web server running in the App Engine flexible environment.

Updating the application

To update your application, make changes to the code, then run the gcloud app deploy command again.

The deployment creates a new version of your app and promotes it to the default version. The earlier versions of your app remain, as do their associated virtual machine (VM) instances. All of these app versions and VM instances are billable resources. To reduce costs, delete the non-default versions of your app.

Configuring for production

You now have a working Django deployment, but there are further steps you can take to ensure that your application is production-ready.

Disable debugging

Confirm that the DEBUG variable in mysite/settings.py is set to False. This will prevent detailed error pages from being displayed to the user, which can leak information about the configurations.

Limit the database user privileges

Any users that are created by using Cloud SQL have the privileges associated with the cloudsqlsuperuser role: CREATEROLE, CREATEDB, and LOGIN.

To prevent the Django database user from having these permissions, manually create the user in PostgreSQL. You will need to have the psql interactive terminal installed, or use Cloud Shell which has this tool pre-installed.

Console

1. In the Google Cloud console, activate Cloud Shell.

   Activate Cloud Shell

2. In Cloud Shell, use the built-in terminal to connect to your INSTANCE_NAME instance:

   gcloud sql connect INSTANCE_NAME --user postgres
   

3. Enter the postgres user password.

   You are now using psql. You should see the postgres=> prompt.

4. Create a user:

   CREATE USER DATABASE_USERNAME WITH PASSWORD 'DATABASE_PASSWORD';
   

   Replace PASSWORD with a random, unique password.

5. Grant full rights on the new database to the new user:

   GRANT ALL PRIVILEGES ON DATABASE DATABASE_NAME TO DATABASE_USERNAME;
   

6. Exit psql:

   \q
   

gcloud

Note: Any users that are created by using Cloud SQL have the privileges associated with the cloudsqlsuperuser role: CREATEROLE, CREATEDB, and LOGIN. This tutorial creates the user directly in PostgreSQL.

1. Start a connection to the SQL instance:

   gcloud sql connect INSTANCE_NAME --user postgres
   

   Replace INSTANCE_NAME with the created Cloud SQL instance.

2. Enter the postgres user password.

   You are now using psql. You should see the postgres=> prompt.

3. Create a user:

   CREATE USER DATABASE_USERNAME WITH PASSWORD 'DATABASE_PASSWORD';
   

4. Grant full rights on the new database to the new user:

   GRANT ALL PRIVILEGES ON DATABASE DATABASE_NAME TO DATABASE_USERNAME;
   

5. Exit psql:

   \q
   

Understand the code

Sample application

The Django sample app was created using standard Django tooling. The following commands create the project and the polls app:

django-admin startproject mysite
python manage.py startapp polls

The base views, models, and route configurations were copied from Writing your first Django app (Part 1 and Part 2).

Secrets from Secret Manager

The settings.py file contains code that uses the Secret Manager Python API to retrieve the latest version of the named secret, and pull it into the environment (using django-environ):

env = environ.Env(DEBUG=(bool, False))
env_file = os.path.join(BASE_DIR, ".env")

if os.path.isfile(env_file):
    # Use a local secret file, if provided

    env.read_env(env_file)
# ...
elif os.environ.get("GOOGLE_CLOUD_PROJECT", None):
    # Pull secrets from Secret Manager
    project_id = os.environ.get("GOOGLE_CLOUD_PROJECT")

    client = secretmanager.SecretManagerServiceClient()
    settings_name = os.environ.get("SETTINGS_NAME", "django_settings")
    name = f"projects/{project_id}/secrets/{settings_name}/versions/latest"
    payload = client.access_secret_version(name=name).payload.data.decode("UTF-8")

    env.read_env(io.StringIO(payload))
else:
    raise Exception("No local .env or GOOGLE_CLOUD_PROJECT detected. No secrets found.")

The secret is used to store multiple secret values to reduce the number of different secrets that needed to be configured.

Local secret overrides

If a .env file is found on the local filesystem, it is used instead of the value from Secret Manager. Creating a .env file locally can help with local testing (e.g. local development against a SQLite database, or other local settings).

Database connection

The settings.py file contains the configuration for your SQL database. It uses the env.db() helper from django-environ to load the connection string set in DATABASE_URL into the DATABASES setting.

When running the application locally and using the Cloud SQL Auth Proxy to access the hosted database, the USE_CLOUD_SQL_AUTH_PROXY flag adjusts the database settings to use the proxy.

# Use django-environ to parse the connection string
DATABASES = {"default": env.db()}

# If the flag as been set, configure to use proxy
if os.getenv("USE_CLOUD_SQL_AUTH_PROXY", None):
    DATABASES["default"]["HOST"] = "127.0.0.1"
    DATABASES["default"]["PORT"] = 5432

Cloud-stored static

The settings.py file also uses django-storages to integrate the Cloud Storage media bucket directly into the project:

# Define static storage via django-storages[google]
GS_BUCKET_NAME = env("GS_BUCKET_NAME")
STATIC_URL = "/static/"
DEFAULT_FILE_STORAGE = "storages.backends.gcloud.GoogleCloudStorage"
STATICFILES_STORAGE = "storages.backends.gcloud.GoogleCloudStorage"
GS_DEFAULT_ACL = "publicRead"

App Engine app.yaml

The app.yaml file contains configuration information for deployment to the flexible environment:

runtime: python
env: flex
entrypoint: gunicorn -b :$PORT mysite.wsgi

beta_settings:
    cloud_sql_instances: PROJECT_ID:REGION:INSTANCE_NAME

runtime_config:
  python_version: 3.7