A custom runtime allows you to easily deploy and run web applications written in any language. The App Engine flexible environment provides the scaling, monitoring, and load balancing infrastructure, so you can focus on building your application.
To create a custom runtime you need:
- An
app.yamlfile that describes your application's runtime configuration. - A
Dockerfilethat configures the runtime environment. In many cases, this can be just one line specifying a base image. - To ensure your application is listening on port 8080 and has request handlers that respond to lifecycle events, such as start, stop, and health check requests.
Create an app.yaml file
You must use an app.yaml configuration file with the following settings:
runtime: custom
env: flex
For information about configuring other flexible environment settings for your app, see Configuring your App with app.yaml.
Create a Dockerfile
The Dockerfile is always named Dockerfile and should be placed in the same
directory with the corresponding app.yaml file. This remains true if you are
customizing a Java runtime and using gcloud commands, however other tooling
might have different requirements. For example, Cloud SDK-based Java tools
such as the Maven, Gradle, Eclipse, and IntelliJ plugins require that the
Dockerfile is in the src/main/docker/Dockerfile directory and that the
app.yaml file is in the src/main/appengine/app.yamldirectory.
Comprehensive documentation is available on the Docker website. You need to do this whether you use your own base image or one of Google's base images. For simplicity, this page shows an example using a Google-provided base image.
Configuring the Dockerfile
The first command in a Dockerfile is usually a FROM command specifying a base
image.
The FROM command for each of the Google-provided base images is shown in the
following table, along with the github project used to build the image:
| Runtime | Command | Note | |
|---|---|---|---|
| Go github project |
FROM gcr.io/google-appengine/golang |
APIs require Go libraries. | |
| Java (Open JDK 8 only) github project |
FROM gcr.io/google-appengine/openjdk |
Dockerfiles for Java. | |
| Java (Open JDK 8 + Jetty9.3) github project |
FROM gcr.io/google-appengine/jetty |
Dockerfiles for Java. | |
| Python 2.7 & 3.5 github project |
FROM gcr.io/google-appengine/python |
||
| Node.js github project |
FROM gcr.io/google-appengine/nodejs |
||
| Ruby github project |
FROM gcr.io/google-appengine/ruby |
||
| PHP github project |
FROM gcr.io/google-appengine/php |
Using App Engine service APIs
To access the App Engine service APIs from a Go app that is running thegolang base image, you must import the App Engine Go
libraries into your source code.
Using custom Java runtimes
To customize a Java runtime and add additional directives, you must create a Dockerfile.
Example Dockerfile for Java 8 / Jetty 9:
FROM gcr.io/google-appengine/jetty ADD test-webapp-1.0-SNAPSHOT.war $JETTY_BASE/webapps/root.war WORKDIR $JETTY_BASE RUN java -jar $JETTY_HOME/start.jar --approve-all-licenses --add-to-startd=jmx,stats,hawtio \ && chown -R jetty:jetty $JETTY_BASE
where test-webapp-1.0-SNAPSHOT.war is the name of the built WAR file in your
target/ (maven) or build/staged-app/ (gradle) directory.
In contrast, don't need a Dockerfile to deploy your app to App Engine, if you choose to use an uncustomized base image of one of the Google-provided Java runtimes. For more information, see Java 8 runtime or Java 8 / Jetty 9 runtime.
For a complete list of all the Google-provided images, see the google-appengine project.
Developing code for custom runtimes
This section describes behavior that your code must implement whether you use a Google-provided base image or your own base image.
Listen to port 8080
The App Engine front end will route incoming requests to the appropriate module on port 8080. You must be sure that your application code is listening on 8080.
Lifecycle events
Application Shutdown
When shutting down an instance, App Engine flexible environment sends a 'STOP'
(SIGTERM) signal to the app container. Your application does not need to
respond to this event, but your application can use it to perform any necessary
clean-up actions before the container is shut down. The system waits up to 30
seconds for the app to stop and then sends a 'KILL' (SIGKILL) signal.
Health check requests
By default, an application running in the flexible environment is periodically sent health check requests.
If you create a custom runtime your app must handle health check requests or disable them, otherwise, the app won't come up properly.
A health check is an HTTP request to the URL /_ah/health. A healthy
application should respond with status code 200.
At its simplest, an application can check that its serving stack is up and running; it might also perform more sophisticated checks, such as ensuring any background processes are running.
To disable health checking, add this line to your app's configuration file:
enable_health_check: False
Using Google Cloud Platform services
Applications running in the flexible environment can access the Google API Client Libraries or any third party services via standard APIs.
API clients
With custom runtimes, client libraries can use the Application Default Credentials to authenticate with and call Google APIs.
Alternatively, you can authenticate your application directly with access tokens using the Compute Engine Metadata API. You can then use these access tokens in API requests, such as requests against Google Cloud Storage and Google Cloud Datastore services and resources.
Logging
When a request is sent to your application running in App Engine, request and response details are logged automatically, and can be viewed in the Google Cloud Platform Console Logs Viewer.
When your application handles a request, it can also
write its own logging messages to stdout and stderr. These files are
automatically collected and can be viewed in the Logs Viewer. Only the most
recent entries to stdout and stderr are retained, in order
to limit their size.
The request and application logs for your app are collected by a Cloud Logging agent and are kept for a maximum of 90 days, up to a maximum size of 1GB. If you want to store your logs for a longer period or store a larger size than 1GB, you can export your logs to Cloud Storage. You can also export your logs to BigQuery and Pub/Sub for further processing.
Other logs are also available for your use. The following are some of the logs that are configured by default:
| Log name | Payload type | Purpose |
|---|---|---|
crash.log |
text | Information logged when setup fails. If your application fails to run, check this log. |
monitoring.* |
text | Information from the Docker container publishing data to Cloud Monitoring. |
shutdown.log |
text | Information logged on shutdown. |
stdout |
text | Standard output from your app. |
stderr |
text | Standard error from your container. |
syslog |
text | The VM syslog, outside of the Docker container. |