Region ID
The REGION_ID
is an abbreviated code that Google assigns
based on the region you select when you create your app. The code does not
correspond to a country or province, even though some region IDs may appear
similar to commonly used country and province codes. For apps created after
February 2020, REGION_ID.r
is included in
App Engine URLs. For existing apps created before this date, the
region ID is optional in the URL.
Learn more about region IDs.
Learn how to run your application locally, deploy it, and test on App Engine.
Run locally
To test your application before deploying, run your application
in your local environment with the development tools that you usually use.
We recommend that you use standard Python tools, such as virtualenv
to create
isolated environments and pytest
to run unit tests and integration tests, rather
than depending on dev_appserver
, the local development server provided with the
Google Cloud SDK.
For example, you can usually run a Flask application with the Flask development server using:
pythonmain.py
Start Django applications using:
pythonmanage.py runserver
To simulate a production App Engine environment, run the full
Web Server Gateway Interface (WSGI) server locally. Use the same
command specified as entrypoint in your app.yaml
file, for example:
gunicorn -b :$PORTmain:app
Before deploying your application
Before deploying your application:
- The Owner of the Google Cloud project must set up your Google Cloud project for App Engine.
- Ensure that your user account includes the required privileges.
Deploy your application
Deploy your application to App Engine using the
gcloud app deploy
command. During
deployment, the Cloud Build service builds a container
image of your application to run in the standard environment.
Each build is run in the same region as your Google Cloud project. For more
information, see Manage build images.
To programmatically deploy your apps, use the Admin API.
Deploy a service
You deploy your application to App Engine by deploying versions of your application's services and each of their configuration files.
To deploy a version of your application's service, run the following command
from the directory where the app.yaml
file of your service is located:
gcloud app deploy
Specifying no files with the command deploys only the app.yaml
file in your
current directory. By default, the deploy
command generates a unique ID for
the version that you deploy, deploys the version to the
Google Cloud project you configured the Google Cloud CLI to use,
and routes all traffic to the new version.
You can change the default behavior of the command by targeting specific files or including additional parameters:
- To deploy the other configuration files of your service, you must target and
deploy each file separately. For example:
gcloud app deploy
cron.yaml gcloud app deploydispatch.yaml gcloud app deployindex.yaml - To specify a custom version ID, use the
--version
flag. - To prevent traffic from being automatically routed to the new version, use
the
--no-promote
flag. - To deploy to a specific Google Cloud project, use the
--project
flag.
For example, to deploy the service defined by the app.yaml
file to a specific
Google Cloud project, assign it a custom version ID, and prevent traffic
from being routed to the new version:
gcloud app deploy --projectPROJECT_ID --versionVERSION_ID --no-promote
For more information about this command, see the gcloud app deploy
reference.
Deploy multiple services
You use the same deployment command for deploying or updating the multiple services that make up your application.
Before you begin:
- You must initially deploy a version of your application to the
default
service before you can create and deploy subsequent services. - The ID of each of your services must be specified in their corresponding
app.yaml
configuration files. To specify the service ID, include theservice
element definition in each configuration file. By default, excluding this element definition from your configuration file deploys the version to thedefault
service.
To deploy multiple services, separately deploy each service's app.yaml
file. You can specify multiple files with a single gcloud app deploy
command:
gcloud app deployservice1/app.yaml service2/app.yaml
View build logs
Cloud Build streams build and deploy logs that are viewable in the Cloud Build Build history section of the Google Cloud console. To view builds in the app's region, use the Region menu to filter by the region.
Manage build images
Each time you deploy a new version:
App Engine creates a container image using the Cloud Build service.
Cloud Build builds the container image in the app's region, and runs in the App Engine standard environment.
App Engine stores built container images in Artifact Registry. You can download these images to keep or run elsewhere.
After deployment is complete, App Engine no longer needs the container images. The container images aren't automatically deleted. To avoid reaching your storage quota, you can safely delete any images you don't need. However, if you might need the images in the future or want to keep a copy of the images, you need to export a copy prior to deletion. For more information about managing images in Artifact Registry, see Manage images.
Ignore files
You can use a .gcloudignore
file to specify files and directories that won't
be uploaded to App Engine when you deploy your services. This is
useful for ignoring build artifacts and other files that don't need to be
uploaded with your deployment.
View your application
After you deploy your application to App Engine, you can run the
following command to launch your browser and view it at
https://PROJECT_ID.REGION_ID.r.appspot.com
:
gcloud app browse
Test on App Engine before shifting traffic
Before configuring a new version to receive traffic, you can test it on
App Engine. For example, to test a new version of your default
service:
Deploy your new version, but prevent traffic from being automatically routed to the new version:
gcloud app deploy --no-promote
Access your new version by navigating to the following URL:
https://VERSION_ID-dot-default-dot-PROJECT_ID.REGION_ID.r.appspot.com
Now you can test your new version in the App Engine runtime environment. You can debug your application by viewing its logs. For more information, see Writing Application Logs.
App Engine routes requests sent to
https://PROJECT_ID.REGION_ID.r.appspot.com
to the version previously configured to receive traffic.When you want to send traffic to the new version, use the Google Cloud console to migrate traffic:
Select the version you just deployed and click Migrate traffic.
You can use the same process to test new versions of other services by replacing
default
in the URL with your service's name:
https://VERSION-dot-SERVICE-dot-PROJECT_ID.REGION_ID.r.appspot.com
For more information about targeting specific services and versions, see How requests are routed.
Use build environment variables
You can set build environment variables for runtimes that support buildpacks.
Build environment variables are key-value pairs that you can specify to configure the buildpack you use to deploy your app. For example, you might want to specify compiler options.
Before you begin:
- Keys must start with an uppercase ASCII letter, and can include uppercase ASCII letters, digits, and underscores.
- You should avoid creating any variables with a
GOOGLE_*
key prefix. - The following keys are reserved for Google's use:
GOOGLE_RUNTIME
GOOGLE_RUNTIME_VERSION
GOOGLE_ENTRYPOINT
GOOGLE_DEVMODE
- You can use any key that is supported by buildpacks.
To use environment variables with buildpacks, specify the
build_env_variables
field in your app.yaml
file.
Learn more about buildpacks.
Use the local development server
The Google Cloud CLI includes a local development server named
dev_appserver
that you can run locally to simulate your application running in
production App Engine. This development server partially simulates the
environment in which your application runs, allowing you to test apps written for
any of the standard environment runtimes.
Run the local development server
After you create the app.yaml
configuration file for your app, you can start the local development server
with the dev_appserver.py
command to run your app locally.
To obtain access credentials for your user account, run:
gcloud auth login
Allow your local application to temporarily use your user credentials for API access:
gcloud auth application-default login
To start the local development server:
In the directory that contains your
app.yaml
configuration file, run thedev_appserver.py
command and specify your project ID and path to yourapp.yaml
file:python3
CLOUD_SDK_ROOT /bin/dev_appserver.py --application=PROJECT_ID app.yamlTo change the port, include the
--port
option:python3
CLOUD_SDK_ROOT /bin/dev_appserver.py --application=PROJECT_ID app.yaml --port=9999To test a Python 3 app, run
dev_appserver.py
with a Python 3 interpreter, you must specify the Python 3 binary in the--runtime_python_path
flag, for example:python3
CLOUD_SDK_ROOT /bin/dev_appserver.py --runtime_python_path=/usr/bin/python3 --application=PROJECT_ID app.yaml --port=9999To learn more about the
dev_appserver.py
command options, see Local development server options.As the local development server starts, it sets up a development environment that pre-installs the dependencies found in your
requirements.txt
file.The local development server is now running and listening for requests. Visit http://localhost:8080/ in your web browser to see the app in action.
If you specified a custom port with the
--port
option, remember to open your browser to that port.To stop the local server from the command line, press Control-C on your keyboard.
Detect application runtime environment
To determine whether your code is running in production or in the local
development server, you can check the GAE_ENV
environment variable:
if os.getenv('GAE_ENV', '').startswith('standard'): # Production in the standard environment else: # Local execution.
Use the local development server with Google Cloud services
You can integrate dev_appserver
with other Google Cloud components.
Cloud client libraries
Many Google Cloud client libraries depend on the presence of the
GOOGLE_CLOUD_PROJECT
environment variable, which should be your
Google Cloud project ID. You can find its value by running the
gcloud config list project
command or looking at your project page in the
Google Cloud console.
To ensure that this environment variable is set correctly during local
development, initialize dev_appserver
using the
--application=PROJECT_ID
parameter as shown in the
example above.
Cloud emulators
You can test your application with emulators for Cloud Datastore, Cloud Bigtable and Cloud Pub/Sub.
Auto-reload requirements.txt
and app.yaml
changes
The local development server automatically installs dependencies found in your
requirements.txt
file. dev_appserver
also allows you to test functionality
that is configured via app.yaml
. For example, you can test your app's ability
to serve static
files. When
dev_appserver
is running, any changes to requirements.txt
and app.yaml
automatically restarts your app to reflect these changes. This may result in a
temporary delay as dependencies are downloaded and installed.
Instance management and routing in the development server
Discover instance addresses
The local development server creates all manual scaling instances at startup. Instances for automatic and basic scaling services are managed dynamically. The server assigns a port to each service, and clients can depend on the server to load-balance and select an instance automatically. The port assignments for addressing each service appear in the server's log message stream.
Here are the ports for an app that defines three services:
INFO Starting module "default" running at: http://localhost:8084 INFO Starting module "service1" running at: http://localhost:8082 INFO Starting module "service2" running at: http://localhost:8083
When you use a service's address, for example http://localhost:8082/
, the
server creates or selects an instance of the service and sends the request to
that instance.
The server assigns unique ports to each instance of a service. You can use the admin server to discover these ports. There is a unique port for the admin server, which appears in the message log:
INFO Starting admin server at: http://localhost:8000
This address takes you to the admin server console. Click on Instances to see the dynamic state of your app's instances
A separate entry appears for each manual and basic instance. The instance numbers are links with unique port addresses for each instance. Click on the link to send a request directly to that instance.
Dispatch files
If your app includes a dispatch.yaml
file, the log messages stream includes a
dispatcher port:
INFO Starting dispatcher running at: http://localhost:8080
Requests to this port are routed according to the rules in the dispatch file.
The server does not support dispatch.yaml
file rules that include
hostnames, for example, url: "customer1.myapp.com/*"
. Rules with relative
path patterns (url: "*/fun"
), do work, so you can use URLs like
http://localhost/fun/mobile
to reach instances. The server reports an error in
the log stream if you try to start an application with a dispatch.yaml
file
that contains host-based rules.
Use Cloud Trace
Cloud Trace is useful for understanding how requests propagate through your application. You can inspect detailed latency information for a single request or view aggregate latency for your entire application.
To view trace details in Cloud Trace, you can follow Find and explore traces. In the Trace explorer, you can use the filters to filter by your specific App Engine service and version.