Customize Spring for Platform.sh
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Now that your code contains all of the configuration to deploy on Platform.sh, it’s time to make your Spring site itself ready to run on a Platform.sh environment. There are a number of additional steps that are either required or recommended, depending on how well you want to optimize your site.
Install the Config Reader
You can get all information about a deployed environment, including how to connect to services, through environment variables. Your app can access these variables.
Below is an example of how to install the Config Reader for Java using Maven:
<dependency>
<groupId>sh.platform</groupId>
<artifactId>config</artifactId>
<version>2.2.2</version>
</dependency>
and Gradle:
compile group: 'sh.platform', name: 'config', version: '2.2.2'
.environment
The .platform.app.yaml
file in the previous step
has been pulled directly from the Spring template.
It is sufficient to deploy Spring on its own, but since Spring Config
makes it possible to overwrite configurations without impacting the application itself,
you might elect to rely more heavily on environment variables in its place.
Consider this simplified .platform.app.yaml
file:
name: app
type: "java:11"
disk: 1024
hooks:
build: mvn clean package
web:
commands:
start: java -jar $JAVA_OPTS target/file.jar --server.port=$PORT
On Platform.sh, we can set the environment variable JAVA_OPTS
by committing a .environment
file to the repository’s root. Platform.sh runs source .environment
in the application root when a project starts, and when logging into the environment over SSH.
That gives you a place to do extra environment variable setup prior to the application running, including modifying the system $PATH
and other shell level customizations.
It allows us to define JAVA_OPTS
when running on Platform.sh, but otherwise not be used during local development testing.
# .environment
export JAVA_OPTS="-Xmx$(jq .info.limits.memory /run/config.json)m -XX:+ExitOnOutOfMemoryError"
Tip
To check the Garbage collector settings, please, check the Java Performance tuning section.