As Jakarta EE 10 approaches, we are taking a look at key Jakarta EE specifications in detail: what they do and how they have changed for Jakarta EE 10!

Today, Jakarta Context Dependency Injection or CDI, a very important specification that interacts with several others.

The capability to disable implicit CDI scanning was already added to the previous Payara Server releases but the default admin console setting was to enable it at deploy time. We have now made a change so that the value added to the deployment descriptor is the overriding setting and the admin console setting will be ignored.

For even more control, we have added the ability to explicitly include or exclude JARs within an Application Deployment from CDI scanning. You can now, for example, include all JARs by default and exclude some named ones, or do the opposite and exclude all by default and only include some named ones.

Another quarter, another release! After an eventful 2016, November brings with it the final release of the year for Payara Server. This year, we've seen new services like Request Tracing and Health Check added, as well as the Slow SQL logger and SQL Trace Listeners. Revisiting the version of the documentation from 1 year ago and comparing the amount we have added since then is, frankly, astonishing!

Despite a bumper year for both new features and bug fixes, work continues apace! Below is a short summary of some of the things to look out for in a release that caps an incredible 12 months.

 

 

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.

 

Any project, large or small, would ultimately like to follow industry best practices, such as continuous deployment.  In order to support this, applications must be deployed early and often.  This, in turn, triggers downtime and the users get affected by it because they could be logged out of the website, or worse, their work gets lost because the application's intermediate state is not saved - never mind the actual downtime during the application deployment process.

 

Rolling upgrades solve this problem in an efficient way!

 

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.

 

Luckily for those who couldn't attend JavaOne 2015  in San Francisco last October, you can now watch most of the conference presentations on-line. Here's our selection of the JavaOne 2015 talks using Payara Server and Payara Micro.

 

The latest release of Payara Server 4.1.151 includes Hazelcast as a builtin JSR107 JCache implementation this means with Payara Server you can start building applications that uses a robust data grid as a caching tier with a standard api.