Google App Engine (GAE) is one of the original Platform as a Service (PaaS) offerings provided by the Google Cloud Platform (GCP).
GAE hosts web applications written in a variety of different languages. It also provides network routing, job scheduling, persistent data storage, and task queues.
In this post, I look at how to deploy a sample application to GAE and manipulate the networking to implement common deployment scenarios like blue/green, canary, and feature branch deployments.
A simple deployment
GAE offers two kinds of deployments for Java:
- Deploying source code to be compiled by GAE
- Deploying compiled applications
Allowing GAE to compile your source code is convenient, although for this example I use a JAR file that's already been compiled by our CI system.
The ability to deploy a compiled application is unique to Java in GAE. Other runtimes like Node, Python, Ruby, and PHP don't typically produce compiled applications. Go is the notable exception, and in that case you do need to deploy your source code and allow GAE to compile it for you.
Our sample application is a simple Java Spring web app called Random Quotes. The source code for this application can be found in GitHub. This application generates a self contained JAR file hosting the application and a built-in web server.
To deploy the application, you need to create a corresponding GAE application resource inside a GCP project. The steps below show an application resource being created via the web console. The first step is to select where the application resource will be hosted:
You then define the environment that will host your web app:
Some instructions on the next steps are provided while the GAE instance is being created.
The end result of this process is the creation of the Application shown in the diagram below:
Only one application resource can exist per project. If you attempt to create another application, say in a different region, you see an error like this:
ERROR: (gcloud.app.create) The project [mattctest] already contains an App Engine application. You can deploy your application using `gcloud app deploy`.
With your application resource created, you can deploy your web app. An application resource can host many services, where each service runs your own application.
Services are (somewhat confusingly) defined in a file called
app.yaml. Here is an example
app.yaml file that you can use to define and deploy your Java web app:
runtime: java11 service: default instance_class: F2
The runtime is a required property defining the platform that will host your code. I couldn't find a definite list of runtimes, but
java11 are all included in various places in the documentation and examples. I use
java11 here as Java 11 is part of the GAE second generation.
The first service that's deployed to GAE must be called
default, so I defined that name in the
If you try to deploy a service with a name other than default, you get the error:
The first service (module) you upload to a new application must be the 'default' service (module).
You also need to use a slightly larger instance than what is provided by default. This is defined in the
instance_class property. The F2 instance provides 512MB of memory, which you need for your web app.
Compile the Java application with the command:
This creates a JAR file under the
At the time of writing, the sample application is at version 0.1.9, so the JAR file is called
To deploy the web app, run the following command, replacing the name of the project to match your environment:
gcloud app deploy .\target\randomquotes.0.1.9.jar --appyaml .\app.yaml --project mattctest
Your compiled application is then deployed. The deployment logs return a URL like https://[projectname].uc.r.appspot.com/ to the live service, which you can open in a web browser:
Deploying a feature branch
A common deployment pattern is to have feature branches deployed side by side with the mainline branch. To simulate this, deploy the blueheader branch of your web app, which changes the background color of the banner to blue.
app.yaml file for this branch looks like this:
runtime: java11 service: blueheader instance_class: F2 env_variables: SERVER_SERVLET_CONTEXT_PATH: "/blueheader"
I've given this service a new name to match the name of the feature branch. I have also defined the
SERVER_SERVLET_CONTEXT_PATH environment variable, setting it to
/blueheader. This defines the context path that the web app expects to receive traffic from. This allows you to test some traffic routing rules that means you can access the new service from a URL like https://[projectname].uc.r.appspot.com/blueheader (as opposed to the unique service URL of https://blueheader-dot-[projectname].uc.r.appspot.com).
To route the subdirectory of
blueheader to the new service, create a file called
displatch.yaml with the following content. These dispatch rules define how traffic is routed from a URL to a service:
dispatch: - url: "*/" service: default - url: "*/blueheader" service: blueheader - url: "*/blueheader/*" service: blueheader
This is deployed with the command:
gcloud app deploy dispatch.yaml --project mattctest
You can now open the feature branch at the URL https://[projectname].uc.r.appspot.com/blueheader:
Traffic splitting, canary, and blue/green deployments
Let's now look at how you can use traffic splitting to implement canary and blue/green deployments.
For this, you need to bump the version of the application in the
pom.xml file to
<?xml version="1.0" encoding="UTF-8"?> <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd"> <version>0.1.10</version> ... </project>
The app is then repackaged with the command:
The new version is deployed with the command:
gcloud app deploy .\target\randomquotes.0.1.10.jar --appyaml .\app.yaml --project mattctest --no-promote
--no-promote option ensures this new version does not receive any traffic, so opening https://[projectname].uc.r.appspot.com/ will still display the previous version of the web app.
In the Versions tab, there's a button called SPLIT TRAFFIC:
Clicking this button allows you to direct traffic between the service versions. In the screenshot below you can see that the traffic has been split 50/50 between the latest two versions. You have split the traffic randomly, as this allows you to refresh the URL and see the two versions. However, if you were performing a production canary deployment, it's likely that you would direct users to the same version based on a cookie or IP address so each request didn't get routed to a random version:
Now 50% of the requests to https://[projectname].uc.r.appspot.com/ return version 0.1.9, and 50% return version 0.1.10.
A canary deployment is achieved by gradually increasing the traffic to the new version of the service. A blue/green deployment simply switches traffic 100% to the new version after any tests are completed. You can test a specific version outside of any traffic splitting rules using a URL like https://[version]-dot-[projectname].uc.r.appspot.com/.
Google App Engine provides a flexible platform for hosting web applications. The network routing and traffic splitting functionality allows complex deployment processes like feature branches, canary, and blue/green to be performed.
In this blog post I deployed a simple Java web application, and demonstrated how advanced deployment patterns can be performed.