The Node.js runtime is the software stack responsible for installing your application code and dependencies, and then running that application in the flexible environment.
Node.js versions
Node.js 22 uses buildpacks. The default Node.js engine uses the latest LTS release. For the full list of supported Node.js versions, and their corresponding Ubuntu version, see the Runtime support schedule.
To use a supported Node.js version, you must:
Install
gcloud CLI
version 420.0.0 or later. You can update your CLI tooling by running thegcloud components update
command. To view your installed version, run thegcloud version
command.Include the
runtime_config
andoperating_system
settings in yourapp.yaml
file to specify an operating system.Optionally, specify a version by:
Adding the
runtime_version
setting in yourapp.yaml
file. By default, the latest Node.js version is used if theruntime_version
setting isn't specified. For example:To specify Node.js 22 on Ubuntu 22:
runtime: nodejs env: flex runtime_config: operating_system: "ubuntu22" runtime_version: "22"
To specify the latest supported Node.js version on Ubuntu 22:
runtime: nodejs env: flex runtime_config: operating_system: "ubuntu22"
The
runtime_version
setting supports semver.
Including the latest supported Node.js version in your application's
package.json
file using theengines
field. When you use theengines
field to specify a version, theruntime_version
setting takes precedence. To prevent unexpected breakages, we recommend that you specify a Node.js version in theengines
field, along with theruntime_version
. For example:{ "engines": { "node": "22.x" } }
The
engines.node
property can be a semver range. If you specify this property, the runtime downloads and installs the latest version of Node.js that matches the semver range. If no match is found, the application fails to deploy and the runtime returns an error.
Previous runtime versions
For Node.js runtime version 16 and earlier, specify a version in your
application's package.json
file using the engines
field.
The following example configures the runtime to use the Node 9 release:
{
"engines": {
"node": "9.x"
}
}
The engines.node
property can be a semver range.
If you specify this property, the runtime downloads and installs the latest version of
Node.js that matches the semver range. If no match is found,
the application fails to deploy and the runtime returns an error message.
Support for other Node.js runtimes
If you need to use a Node.js version that isn't supported, you can create a custom runtime and select a valid base image with the Node.js version you need.
For Google-supplied base images or Docker Node.js base images, see Building custom runtimes.
Package manager
During deployment, the runtime uses either the npm, or yarn, or Pnpm package manager to install dependencies and start the application. The package manager is set with the following logic:
- The default package manager is
npm
. - If a
yarn.lock
file is present in your application's root directory, the runtime instead uses theyarn
package manager. - For only Node.js version 18 and later, if a
pnpm-lock.yaml
file is present in your application's root directory, the runtime instead uses thePnpm
package manager. - If both a
package-lock.json
, andyarn.lock
orpnpm-lock.yaml
exist, your deployment will fail with an error. If you need thepackage-lock.json
file, you must specify the other package manager files in theskip_files
section of yourapp.yaml
file to resolve which package manager to use.
Package manager version
The runtime image aims to use the latest yarn
release and the release of
npm
that is available in the latest Node.js LTS release.
You can specify a different package manager version to use in your application's
package.json
file by using the
engines
field. In this case, the runtime
ensures that the package manager used for the deployment
has a version that matches the specification listed in the
engines
field.
If both a yarn
and npm
version specification is
given, only the package manager that is used for the deployment will be
updated if needed. This saves deployment time by not installing a custom
version of a package manager if it is not actually being used to deploy your
application.
The following example configures the runtime to use a custom version of npm
:
{
"engines": {
"npm": "5.x"
}
}
The next example configures the runtime to use a custom version of yarn
:
{
"engines": {
"yarn": ">=1.0.0 <2.0.0"
}
}
The engines.npm
and engines.yarn
properties can both be a
semver range.
Dependencies
During deployment, the runtime will use either the npm or yarn
package manager to install dependencies by running npm install
or
yarn install
. See the Package Manager section for more
information on how the runtime selects the package manager to use.
Also, for more information about managing Node.js packages on Google App Engine, see Using Node.js Libraries.
To enable the use of Node.js packages that require native extensions, the following Ubuntu packages are pre-installed in the Docker image.
build-essential
ca-certificates
curl
git
imagemagick
libkrb5-dev
netbase
python
If your application requires additional operating-system-level dependencies, you will need to use a custom runtime based on this runtime to install the appropriate packages.
NPM build script
For Node.js runtime version 18 and later, the runtime environment executes
npm run build
if a build
script
is detected in package.json
by default. If you require additional control over your build
steps before starting your application, you can provide a custom build step
by adding a gcp-build
script to your package.json
file.
To prevent your build from running the npm run build
script, you must either:
- Add a
gcp-build
script with an empty value in yourpackage.json
file:"gcp-build":""
. Add the
GOOGLE_NODE_RUN_SCRIPTS
build environment variable with an empty value in yourapp.yaml
file.build_env_variables: GOOGLE_NODE_RUN_SCRIPTS: ''
build_env_variables
section in the app.yaml
file.
Application startup
The runtime starts your application by using npm start
, which uses
the command specified in package.json
. For example:
"scripts": {
"start": "node app.js"
}
Your start script should start a web server that responds to HTTP requests on
the port specified by the PORT
environment variable, typically 8080.
Extending the runtime
You can use custom runtimes to add
additional functionality to a Node.js app running in the App Engine flexible environment. To configure
a custom runtime, replace the following line in your app.yaml
file:
runtime: nodejs
with this line:
runtime: custom
You must also add Dockerfile
and .dockerignore
files in the same directory
that contains the app.yaml
file.
Visit the Custom runtimes documentation to learn how to define a Dockerfile in a custom runtime.
HTTPS and forwarding proxies
App Engine terminates the HTTPS connection at the load balancer and forwards the
request to your application. Some applications need to determine the original
request IP and protocol. The user's IP address is available in the standard
X-Forwarded-For
header. Applications that require this information should
configure their web framework to trust the proxy.
With Express.js, use the trust proxy
setting:
app.set('trust proxy', true);
For information on enforcing HTTPS connections, see How Requests are Handled.
Environment variables
The following environment variables are set by the runtime environment:
Environment variable | Description |
---|---|
GAE_INSTANCE |
The name of the current instance. |
GAE_MEMORY_MB |
The amount of memory available to the application process. |
GAE_SERVICE |
The service name specified in your application's app.yaml
file, or if no service name is specified, it is set to
default .
|
GAE_VERSION |
The version label of the current application. |
GOOGLE_CLOUD_PROJECT |
The Project ID associated with your application, which is visible in the Google Cloud console |
NODE_ENV |
When your app is deployed, the value is production . |
PORT |
The port that will receive HTTP requests. Set to 8080 .
|
You can set additional environment variables with
app.yaml
.
Metadata server
Each instance of your application can use the Compute Engine metadata server to query information about the instance, including its hostname, external IP address, instance ID, custom metadata, and service account information. App Engine does not allow you to set custom metadata for each instance, but you can set project-wide custom metadata and read it from your App Engine and Compute Engine instances.
This example function uses the metadata server to get the external IP address of the instance.