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October 29, 2019Creating millions of virtual worlds for the next AI breakthrough
October 29, 2019Attention, Java developers. If you want to build modern Java backends, use modern frameworks, or use the latest language features of Java 11, know that you can now deploy and scale your Java 11 apps in App Engine with ease.
We’re happy to announce that the App Engine standard environment Java 11 runtime is now generally available, giving you the flexibility to run any Java 11 application, web framework, or service in a fully managed serverless environment.
Modern, unrestricted, managed
With the App Engine standard environment Java 11 runtime, you are in control of what you want to use to develop your application. You can use your favorite framework, such as Spring Boot, Micronaut, Quarkus, Ktor, or Vert.x. In fact, you can use pretty much any Java application that serves web requests specified by the $PORT environment variable (typically 8080). You can also use any JVM language, be it Apache Groovy, Kotlin, Scala, etc.
With no additional work, you also get the benefits of the fully managed App Engine serverless platform. App Engine can transparently scale your application up to handle traffic spikes, and also scale it back down to zero when there’s no traffic. App Engine automatically updates your runtime environment with latest security patches to the operating system and the JDK, so you don’t have to spend time provisioning or managing servers, load balancer, or even any infrastructure at all!
You also get traffic splitting, request tracing, monitoring, centralized logging, and production debugger capabilities out of the box.
In addition, if you can start your Java 11 application locally with java -jar app.jar
, then you can run it on App Engine standard environment Java 11 runtime, with all the benefits of a managed serverless environment.
Finally, the App Engine standard environment Java 11 runtime comes with twice the amount of memory than the earlier Java 8 runtime, at no additional cost. Below is a table outlining the memory limit for each instance class.