It is relatively common for applications to need additional configuration files outside of what is provided in Payara Server or Payara Micro. If you are used to using a custom security realm in Payara Server, for example, it may not be immediately clear how you can use the same file with applications deployed to Payara Micro.

The video tutorial by the Payara Support Engineers Mike Croft and Ondrej Mihalyi, presented at the JavaOne 2016 Conference in San Francisco last week is now available to watch online!

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.

Payara Micro is packed with most of the features and APIs that come with Payara Server Full Profile even though it doesn't entirely support whole Jakarta EE Full Profile. As an example, Payara Micro supports persistent EJB Timers, which are only required by the Jakarta EE Full Profile and not by the Web Profile. In Payara Micro, it's possible to use persistent EJB Timers, which are stored across your micro instances inside the distributed data grid as long as at least one instance in the data grid is up and running.

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.

As part of the new features introduced with the release of Payara Server 162, you can now form a cluster of Payara Server instances using the concept of Hazelcast “Lite Nodes”. This can help you create more flexible cluster topologies.

Take a look at this quick demo to see some of Payara Micro's  dynamic clustering capabilities. I'm running the demo without any extra tools, just Payara Micro itself. To show how Payara Micro dynamically rebalances the cluster, I used JCache and Payara Micro's --autoBindHttp feature.

Do you want to find out more about Payara Server, Payara Micro, future releases, upcoming features, bug fixes, our view on the latest industry trends, use cases or customer stories? Just post your questions in the comments below - our Payara Engineers' Panel including Mike Croft ( @croft), Ondrej Mihalyi (@Omihalyi), Fabio Turizo, Andrew Pielage ( @Pandrex247 ) and Dominika Tasarz ( @Dominislawa - event host) - will answer them during the 1-hour live Google Hangouts session!

Application server clustering provides a means to make application infrastructure more robust and perform better. However, it is often very inflexible and even a small change in the cluster topology can involve serious maintenance costs. Payara Server supports a new way of clustering based on Hazelcast, which brings much more flexibility, decreases maintenance costs and adds the benefit of JCache support out of the box.

Today at the DevNation conference in San Francisco, Payara’s Mike Croft appeared onstage during the Keynote, joined by Mark Little from Red Hat, Alasdair Nottingham from IBM, Theresa Nguyen from Tomitribe and Martijn Verburg from the London Java User Group to announce a new community collaboration called MicroProfile. 

The goal of the MicroProfile initiative is to make it easier for developers to use familiar Java EE technologies and APIs for building microservice applications.

     Eclipse MicroProfile