Back in June we announced MicroProfile with RedHat, IBM, Tomitribe, LJC and SouJava and Microprofile.io was launched as a location for community collaboration on Enterprise Java Microservices. In the announcement each of the vendors promised to have a MicroProfile runtime ready and available in time for JavaOne. Well  after much beavering away here in the Payara Engineering team we have just pushed onto Maven Central our 1.0 release of Payara MicroProfile.

Have you ever wondered whether your application is slow to respond to requests? Which requests take the longest to respond to? And what you can do about it? Payara Server aims to provide the best tooling you would need to identify performance issues, identify their causes and help you solve them. One part of this tooling is the new Request Tracing service, available in Payara Server and Payara Micro from version 163 as a technical preview.

TIP: Don't deploy any apps to the DAS in production!

Why?

As is the case with all my stories, this one began at a customer site. They had an old app they were migrating from GlassFish 3.1.2 to the latest version of Payara Blue. They'd called me in because they wanted to benchmark performance of the new version of Payara Blue on AIX against their existing GlassFish 3.1.2, also on AIX, as well as against a recent version of JBoss (I'm unsure of the version, though I know it was deployed on Windows).

As we enter the third quarter of the year, that can only mean one thing: Payara Server 163 is here! With this release, we’ve managed to cram in 44 bug fixes, 34 enhancements, 6 new features and 6 component upgrades. One of these new features is the tech preview of our new Request Tracing service, which I’ll explain in more detail below.