Posts from Debbie Hoffman

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Improvements to Payara InSight in Payara Enterprise 5.21.1 Release

The Payara Enterprise Release 5.22.0 in October 2020 was the first Payara Enterprise release to include our fully integrated and greatly improved real-time monitoring and alerting solution called Payara InSight (formerly known as Payara Monitoring Console in Payara Community).

Then in the November 2020,release, we made improvements in how alerts are represented in the user interface, the display of widget content, and configuration options.

For December’s Payara Enterprise 5.21.1 (patch release), we’ve continued to make improvements that make Payara InSight easier to use. Updates include slight changes to the GUI for consistency and warning awareness, improvements in the flow of creating new pages, and improvements to the process of updating or changing a previously created Watch.

Test MicroProfile Specs in Payara Platform Community 5.2020.7 Release

As MicroProfile moves toward the 4.0 final release, the Payara team has simultaneously been working to ready the Payara Platform for MicroProfile 4.0 compatibility. One of the goals of the Payara Platform Community Edition is to evolve rapidly and provide a place for developers to test new features and capabilities as soon as they are available. In the Payara Platform Community 5.2020.7 Release, you can give two of the MicroProfile specification release candidates a try: MP Health 3.0 and MP JWT Auth 1.2.

Behind the Scenes: Payara Cloud Development

If you haven't heard yet, the Payara Team has been hard at work developing Payara Cloud, The Next Generation of Cloud-Native Application Server. Payara Cloud makes it easier to run your applications on the cloud - and eliminates the need to learn how to use Kubernetes. With Payara Cloud, you simply select your war, click deploy, and watch your apps run on the cloud, automagically!  (Have you seen the Payara Cloud teaser video yet? Take a look here.) 

Payara Cloud: Click Deploy and Watch Your Apps Run on the Cloud

Running your applications on the cloud takes quite a bit of effort. Even “cloud-native” applications present challenges when packaging them to run on the cloud! 

What if you could focus on writing code for your business applications and not worry about making it work on Kubernetes or configuring everything to run them on the cloud? What if configuration and deployment were as simple as selecting your War file and clicking deploy? Imagine how much faster you could write code and deliver applications! 

That’s what Payara Cloud will do for you. Payara Cloud is what cloud-native should be. 

Notifier API Updated for Payara Server Community Edition

Previously, Payara Server did not offer a convenient way to add extensions. If you wanted to add an extension, you had to download the Payara Server code base, build the entire repository, write your own extension and module, and basically act as a developer. We’re working to create a simplified way to add extensions to Payara Server, starting with the Notifier API. 

Benefits of Migrating from Oracle WebLogic 14 to Payara Server Enterprise

Payara Server Enterprise 5 is a cloud-native middleware application platform supporting mission critical production systems with reliable and secure deployments of Jakarta EE (Java EE) applications on premise, in the cloud, or hybrid environments. If you’ve been running WebLogic in production but are struggling with an infrequent release schedule, bug fixes, and patches - or if you want support for Eclipse MicroProfile, you’ll benefit from migrating from WebLogic to Payara Server Enterprise. 

Benefits of Using Payara Micro in the Cloud

Microservices architecture allows developers to apply best practices for larger systems learned over time with containerized Jakarta EE (Java EE) application deployments in any environment: on premise, in the cloud, or hybrid.  Using Payara Micro in the cloud offers benefits ranging from reduced expenses, seamless integration with cloud platforms and tools for management and automation, to automatic and elastic clustering.