Spring Boot’s executable jars are ready-made for most popular cloud PaaS (Platform-as-a-Service) providers. These providers tend to require that you “bring your own container”. They manage application processes (not Java applications specifically), so they need an intermediary layer that adapts your application to the cloud’s notion of a running process.
Two popular cloud providers, Heroku and Cloud Foundry, employ a “buildpack” approach.
The buildpack wraps your deployed code in whatever is needed to start your application.
It might be a JDK and a call to java
, an embedded web server, or a full-fledged
application server. A buildpack is pluggable, but ideally you should be able to get by
with as few customizations to it as possible. This reduces the footprint of functionality
that is not under your control. It minimizes divergence between development and production
environments.
Ideally, your application, like a Spring Boot executable jar, has everything that it needs to run packaged within it.
In this section, we look at what it takes to get the simple application that we developed in the “Getting Started” section up and running in the Cloud.
Cloud Foundry provides default buildpacks that come into play if no other buildpack is
specified. The Cloud Foundry Java
buildpack has excellent support for Spring applications, including Spring Boot. You can
deploy stand-alone executable jar applications as well as traditional .war
packaged
applications.
Once you have built your application (by using, for example, mvn clean package
) and have
installed the cf
command line tool, deploy your application by using the cf push
command, substituting
the path to your compiled .jar
. Be sure to have
logged in with
your cf
command line client before pushing an application. The following line shows
using the cf push
command to deploy an application:
$ cf push acloudyspringtime -p target/demo-0.0.1-SNAPSHOT.jar
Note | |
---|---|
In the preceding example, we substitute |
See the cf push
documentation for more options. If there is a Cloud Foundry
manifest.yml
file present in the same directory, it is considered.
At this point, cf
starts uploading your application, producing output similar to the
following example:
Uploading acloudyspringtime... OK Preparing to start acloudyspringtime... OK -----> Downloaded app package (8.9M) -----> Java Buildpack Version: v3.12 (offline) | https://github.com/cloudfoundry/java-buildpack.git#6f25b7e -----> Downloading Open Jdk JRE 1.8.0_121 from https://java-buildpack.cloudfoundry.org/openjdk/trusty/x86_64/openjdk-1.8.0_121.tar.gz (found in cache) Expanding Open Jdk JRE to .java-buildpack/open_jdk_jre (1.6s) -----> Downloading Open JDK Like Memory Calculator 2.0.2_RELEASE from https://java-buildpack.cloudfoundry.org/memory-calculator/trusty/x86_64/memory-calculator-2.0.2_RELEASE.tar.gz (found in cache) Memory Settings: -Xss349K -Xmx681574K -XX:MaxMetaspaceSize=104857K -Xms681574K -XX:MetaspaceSize=104857K -----> Downloading Container Certificate Trust Store 1.0.0_RELEASE from https://java-buildpack.cloudfoundry.org/container-certificate-trust-store/container-certificate-trust-store-1.0.0_RELEASE.jar (found in cache) Adding certificates to .java-buildpack/container_certificate_trust_store/truststore.jks (0.6s) -----> Downloading Spring Auto Reconfiguration 1.10.0_RELEASE from https://java-buildpack.cloudfoundry.org/auto-reconfiguration/auto-reconfiguration-1.10.0_RELEASE.jar (found in cache) Checking status of app 'acloudyspringtime'... 0 of 1 instances running (1 starting) ... 0 of 1 instances running (1 starting) ... 0 of 1 instances running (1 starting) ... 1 of 1 instances running (1 running) App started
Congratulations! The application is now live!
Once your application is live, you can verify the status of the deployed application by
using the cf apps
command, as shown in the following example:
$ cf apps Getting applications in ... OK name requested state instances memory disk urls ... acloudyspringtime started 1/1 512M 1G acloudyspringtime.cfapps.io ...
Once Cloud Foundry acknowledges that your application has been deployed, you should be
able to find the application at the URI given. In the preceding example, you could find
it at http://acloudyspringtime.cfapps.io/
.
By default, metadata about the running application as well as service connection
information is exposed to the application as environment variables (for example:
$VCAP_SERVICES
). This architecture decision is due to Cloud Foundry’s polyglot (any
language and platform can be supported as a buildpack) nature. Process-scoped environment
variables are language agnostic.
Environment variables do not always make for the easiest API, so Spring Boot automatically
extracts them and flattens the data into properties that can be accessed through Spring’s
Environment
abstraction, as shown in the following example:
@Component class MyBean implements EnvironmentAware { private String instanceId; @Override public void setEnvironment(Environment environment) { this.instanceId = environment.getProperty("vcap.application.instance_id"); } // ... }
All Cloud Foundry properties are prefixed with vcap
. You can use vcap
properties to
access application information (such as the public URL of the application) and service
information (such as database credentials). See the
‘CloudFoundryVcapEnvironmentPostProcessor’
Javadoc for complete details.
Tip | |
---|---|
The Spring Cloud Connectors project
is a better fit for tasks such as configuring a DataSource. Spring Boot includes
auto-configuration support and a |
Heroku is another popular PaaS platform. To customize Heroku builds, you provide a
Procfile
, which provides the incantation required to deploy an application. Heroku
assigns a port
for the Java application to use and then ensures that routing to the
external URI works.
You must configure your application to listen on the correct port. The following example
shows the Procfile
for our starter REST application:
web: java -Dserver.port=$PORT -jar target/demo-0.0.1-SNAPSHOT.jar
Spring Boot makes -D
arguments available as properties accessible from a Spring
Environment
instance. The server.port
configuration property is fed to the embedded
Tomcat, Jetty, or Undertow instance, which then uses the port when it starts up. The $PORT
environment variable is assigned to us by the Heroku PaaS.
This should be everything you need. The most common deployment workflow for Heroku
deployments is to git push
the code to production, as shown in the following example:
$ git push heroku master Initializing repository, done. Counting objects: 95, done. Delta compression using up to 8 threads. Compressing objects: 100% (78/78), done. Writing objects: 100% (95/95), 8.66 MiB | 606.00 KiB/s, done. Total 95 (delta 31), reused 0 (delta 0) -----> Java app detected -----> Installing OpenJDK 1.8... done -----> Installing Maven 3.3.1... done -----> Installing settings.xml... done -----> Executing: mvn -B -DskipTests=true clean install [INFO] Scanning for projects... Downloading: http://repo.spring.io/... Downloaded: http://repo.spring.io/... (818 B at 1.8 KB/sec) .... Downloaded: http://s3pository.heroku.com/jvm/... (152 KB at 595.3 KB/sec) [INFO] Installing /tmp/build_0c35a5d2-a067-4abc-a232-14b1fb7a8229/target/... [INFO] Installing /tmp/build_0c35a5d2-a067-4abc-a232-14b1fb7a8229/pom.xml ... [INFO] ------------------------------------------------------------------------ [INFO] BUILD SUCCESS [INFO] ------------------------------------------------------------------------ [INFO] Total time: 59.358s [INFO] Finished at: Fri Mar 07 07:28:25 UTC 2014 [INFO] Final Memory: 20M/493M [INFO] ------------------------------------------------------------------------ -----> Discovering process types Procfile declares types -> web -----> Compressing... done, 70.4MB -----> Launching... done, v6 http://agile-sierra-1405.herokuapp.com/ deployed to Heroku To [email protected]:agile-sierra-1405.git * [new branch] master -> master
Your application should now be up and running on Heroku.
OpenShift is the Red Hat public (and enterprise) extension of the Kubernetes container orchestration platform. Similarly to Kubernetes, OpenShift has many options for installing Spring Boot based applications.
OpenShift has many resources describing how to deploy Spring Boot applications, including:
Amazon Web Services offers multiple ways to install Spring Boot-based applications, either as traditional web applications (war) or as executable jar files with an embedded web server. The options include:
Each has different features and pricing models. In this document, we describe only the simplest option: AWS Elastic Beanstalk.
As described in the official Elastic Beanstalk Java guide, there are two main options to deploy a Java application. You can either use the “Tomcat Platform” or the “Java SE platform”.
This option applies to Spring Boot projects that produce a war file. No special configuration is required. You need only follow the official guide.
This option applies to Spring Boot projects that produce a jar file and run an embedded
web container. Elastic Beanstalk environments run an nginx instance on port 80 to proxy
the actual application, running on port 5000. To configure it, add the following line to
your application.properties
file:
server.port=5000
Upload binaries instead of sources | |
---|---|
By default, Elastic Beanstalk uploads sources and compiles them in AWS. However, it is
best to upload the binaries instead. To do so, add lines similar to the following to your
deploy: artifact: target/demo-0.0.1-SNAPSHOT.jar |
Reduce costs by setting the environment type | |
---|---|
By default an Elastic Beanstalk environment is load balanced. The load balancer has a significant cost. To avoid that cost, set the environment type to “Single instance”, as described in the Amazon documentation. You can also create single instance environments by using the CLI and the following command: eb create -s |
This is one of the easiest ways to get to AWS, but there are more things to cover, such as how to integrate Elastic Beanstalk into any CI / CD tool, use the Elastic Beanstalk Maven plugin instead of the CLI, and others. There is a exampledriven.wordpress.com/2017/01/09/spring-boot-aws-elastic-beanstalk-example/ [blog post] covering these topics more in detail.
Boxfuse works by turning your Spring Boot executable jar or war into a minimal VM image that can be deployed unchanged either on VirtualBox or on AWS. Boxfuse comes with deep integration for Spring Boot and uses the information from your Spring Boot configuration file to automatically configure ports and health check URLs. Boxfuse leverages this information both for the images it produces as well as for all the resources it provisions (instances, security groups, elastic load balancers, and so on).
Once you have created a Boxfuse account, connected it to
your AWS account, installed the latest version of the Boxfuse Client, and ensured that
the application has been built by Maven or Gradle (by using, for example, mvn clean
package
), you can deploy your Spring Boot application to AWS with a command similar to
the following:
$ boxfuse run myapp-1.0.jar -env=prod
See the boxfuse run
documentation for
more options. If there is a boxfuse.com/docs/commandline/#configuration
[boxfuse.conf
] file present in the current directory, it is considered.
Tip | |
---|---|
By default, Boxfuse activates a Spring profile named |
At this point, boxfuse
creates an image for your application, uploads it, and configures
and starts the necessary resources on AWS, resulting in output similar to the following
example:
Fusing Image for myapp-1.0.jar ... Image fused in 00:06.838s (53937 K) -> axelfontaine/myapp:1.0 Creating axelfontaine/myapp ... Pushing axelfontaine/myapp:1.0 ... Verifying axelfontaine/myapp:1.0 ... Creating Elastic IP ... Mapping myapp-axelfontaine.boxfuse.io to 52.28.233.167 ... Waiting for AWS to create an AMI for axelfontaine/myapp:1.0 in eu-central-1 (this may take up to 50 seconds) ... AMI created in 00:23.557s -> ami-d23f38cf Creating security group boxfuse-sg_axelfontaine/myapp:1.0 ... Launching t2.micro instance of axelfontaine/myapp:1.0 (ami-d23f38cf) in eu-central-1 ... Instance launched in 00:30.306s -> i-92ef9f53 Waiting for AWS to boot Instance i-92ef9f53 and Payload to start at http://52.28.235.61/ ... Payload started in 00:29.266s -> http://52.28.235.61/ Remapping Elastic IP 52.28.233.167 to i-92ef9f53 ... Waiting 15s for AWS to complete Elastic IP Zero Downtime transition ... Deployment completed successfully. axelfontaine/myapp:1.0 is up and running at http://myapp-axelfontaine.boxfuse.io/
Your application should now be up and running on AWS.
See the blog post on deploying Spring Boot apps on EC2 as well as the documentation for the Boxfuse Spring Boot integration to get started with a Maven build to run the app.
Google Cloud has several options that can be used to launch Spring Boot applications. The easiest to get started with is probably App Engine, but you could also find ways to run Spring Boot in a container with Container Engine or on a virtual machine with Compute Engine.
To run in App Engine, you can create a project in the UI first, which sets up a unique identifier for you and also sets up HTTP routes. Add a Java app to the project and leave it empty and then use the Google Cloud SDK to push your Spring Boot app into that slot from the command line or CI build.
App Engine needs you to create an app.yaml
file to describe the resources your app
requires. Normally, you put this file in src/main/appengine
, and it should resemble the
following file:
service: default runtime: java env: flex runtime_config: jdk: openjdk8 handlers: - url: /.* script: this field is required, but ignored manual_scaling: instances: 1 health_check: enable_health_check: False env_variables: ENCRYPT_KEY: your_encryption_key_here
You can deploy the app (for example, with a Maven plugin) by adding the project ID to the build configuration, as shown in the following example:
<plugin> <groupId>com.google.cloud.tools</groupId> <artifactId>appengine-maven-plugin</artifactId> <version>1.3.0</version> <configuration> <project>myproject</project> </configuration> </plugin>
Then deploy with mvn appengine:deploy
(if you need to authenticate first, the build
fails).
Note | |
---|---|
Google App Engine Classic is tied to the Servlet 2.5 API, so you cannot deploy a Spring Application there without some modifications. See the Servlet 2.5 section of this guide. |