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How Micro is Payara Micro?

Using the Eclipse Memory Analyzer Toolkit, we're going to find out exactly how small the Payara Micro JEE runtime is.

· Java Zone

What every Java engineer should know about microservices: Reactive Microservices Architecture.  Brought to you in partnership with Lightbend.

We are creating Payara Micro as a production ready Java EE runtime that is fundamentally small, auto-clustering and easy to use.

To find out more about Payara Micro see my previus DZone article Introducing Payara Micro - A New Way of Running Java EE Applications

The whole philosophy of Payara Micro is to turn the idea of application servers on its head and change the perception that they are large, complex and unwieldy environments for building server side applications. So as part of our development we've done some analysis of how small the core runtime of Payara Micro is.

Download Payara Micro here.  

If you are familiar with the Eclipse Memory Analyzer Toolkit ; a fantastic tool that every Java developer should be aware of; you'll know that it essentially analyzes JVM heap dumps to rapidly tell you which objects are holding the most memory in your JVM. As part of our Payara Micro tuning we recently ran MAT across a “raw” Payara Micro instance i.e. a server with clustering enabled but no applications deployed to determine the heap used and to look for tuning opportunities. 

java -jar payara-micro.jar

We then fired up jvisualvm and hit the “Heap Dump” button on the “Monitor” tab

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Opened up the heap dump in MAT and here's the results;

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As you can see Payara Micro only uses 17Mb of JVM Heap when running raw. Now that is micro!

Why does that matter? Well a smaller core runtime leaves more memory available for your applications to use. It means less garbage collections for better performance. It means higher densities of deployments on cloud environments.

It also means if you use the built in JSR 107 Caching capabilities you can store more data in memory across your Payara Micro Grid.

Now you may be thinking that's all well and good but what about when running an application. So we also analysed the heap usage after we'd deployed a recent demonstration application we created for NetBeans day.

The demo application isn't complicated but consists of an entity bean, session bean, JAX-RS service; embedded Derby and a servlet and the NetBeans RESTful service test application so it does initialize and use most of the runtime components  and containers people use. The war was approximately 300Kb in size.

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If you've never seen the NetBeans Test app for RESTful web services it's shown below for this application.

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So here's the updated MAT results;

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25.6MB of heap used. We think this is pretty good. We hope you do to!

We'd love you try out your applications and let us know the results.

Microservices for Java, explained. Revitalize your legacy systems (and your career) with Reactive Microservices Architecture, a free O'Reilly book. Brought to you in partnership with Lightbend.

Topics:
java ee ,microservices ,payara ,application server ,glassfish ,java ,jvm

Published at DZone with permission of Steve Millidge. See the original article here.

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