In case you missed the news earlier this week - we are pleased to announce a new release of Payara Micro and Payara MicroProfile 171 to start the new year with a bang! With this new release, we have implemented substantial changes that are meant to improve the stability and usability of both 'regular' and MicroProfile version of Payara Micro. As is usual with our releases, keep special attention to our blog in the following weeks to read detailed articles on these changes and features to take full advantage of them!

 

For Payara support customers, LTS - Long Term Support - has been introduced for both Payara Micro and Payara MicroProfile so you can expect a full year of patch releases which only include fixes - great news for users who value stability over new features (find out more about the support services here)! 

 

All new changes and features introduced in this release are also included in Payara MicroProfile unless explicitly stated.

 

 

2016 was a great year for us - the Payara Team was extremely busy attending and speaking at the various events and conferences, especially in the last couple of months. We went to JavaOne in San Francisco, Devoxx in Antwerp, W-JAX in Munich, GeeCon in Prague, JDD Conference in Krakow - and that's just to name a few!

 

Below you will find a selection of the recorded talks ( in English, Spanish & Czech language) from some of the events we've had a pleasure to present at in 2016.

 

JavaOne 2016 might be a thing of the past now but the talks presented there are still very relevant! Luckily for those who couldn't make it to the conference in San Francisco in September, a lot of the presentations were recorded and are now available to watch on-line (see a full list here).

Here's our selection of the most interesting, recorded JavaOne 2016 talks that focus on Java EE. 

 

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!

 

 

In the first part of this 'Introduction to Payara Scales' blog, I will give you an overview of the architecture for a Payara Scales cluster and a load balancer upfront, using Amazon CloudFormation and Amazon EC2.