WildFly

A powerful, modular, & lightweight application server that helps you build amazing applications.

Now available: WildFly 34.0.1 Final

Save the date!

We're hosting our next conference on
Wednesday, November 20

WildFly Mini Conference

Powerful

Configuration in WildFly is centralized, simple and user-focused. The configuration file is organized by subsystems that you can easily comprehend and no internal server wiring is exposed. All management capabilities are exposed in a unified manner across many forms of access. These include a CLI, a web based administration console, a native Java API, an HTTP/JSON based REST API, and a JMX gateway. These options allow for custom automation using the tools and languages that best fit your needs.

Modular

WildFly does classloading right. It uses JBoss Modules to provide true application isolation, hiding server implementation classes from the application and only linking with JARs your application needs. Visibility rules have sensible defaults, yet can be customized. The dependency resolution algorithm means that classloading performance is not affected by the number of versions of libraries you have installed.

Lightweight

WildFly takes an aggressive approach to memory management. The base runtime services were developed to minimize heap allocation by using common cached indexed metadata over duplicate full parses, which reduces heap and object churn. The administration console is 100% stateless and purely client driven. It starts instantly and requires zero memory on the server. These optimizations combined enable WildFly to run with stock JVM settings and also on small devices while leaving more headroom for application data and supports higher scalability.

Standards Based

WildFly implements the latest in enterprise Java standards from Jakarta EE and Eclipse MicroProfile. These improve developer productivity by providing rich enterprise capabilities in easy to consume frameworks that eliminate boilerplate and reduce technical burden. This allows your team to focus on the core business needs of your application. By building your application on standards you retain the flexibility to migrate between various vendor solutions.

Latest News

WildFly 34.0.1 is released!

WildFly 34.0.1.Final is now available for download. It’s been about a month since the WildFly 34 release, so we have done a small bug fix update, WildFly 34.0.1. This includes an update to WildFly Preview. The following issues were resolved in 34.0.1: Bugs [WFLY-19891] - ISPN000299: Unable to acquire lock…​ when cancelling a persistent timer in @PostConstruct on a suspended node [WFLY-19909] - Wrong routing of EJB calls in cluster Component Upgrades [WFLY-19927] - Upgrade...

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Using the maven-wildfly-plugin to provision the WildFly to use the PostgreSQL datasource.

Recently I needed to configure a WildFly server to use a PostgreSQL datasource for some testings, and I’d like to use the`wildfly-maven-plugin` to automate the server provision process, so I invested some time into the topic and finally made it work. To sum up what I have learned, I have put the usage example in this PR: jberet-examples / add postgresql based repository example #8 From the above pull request, we can see that the...

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Next WildFly Mini Conference

The WildFly team organizes the next WildFly mini conference. It will take place on Wednesday, November 20, 2024. It starts at 14:00 UTC and includes four sessions with topics related to WildFly. All sessions will be streamed live on YouTube. For more information, please take a look at the conference page at https://www.wildfly.org/conference/ We’re looking forward to seeing you there!

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Playing with Generative AI with WildFly

This blog post provides information on how to use the AI Galleon Feature pack to write generative AI applications. Please note that this feature pack is currently a proof of concept and is not ready for production. You can access the release org.wildfly:wildfly-ai-galleon-pack:0.1.0 to follow the examples provided here. What’s in this feature pack ? This feature pack is work in progress so we will only cover what is already available as of today. It...

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WildFly 35 moves to SE 17, drops SE 11

As I noted in the WildFly 34 release announcement, our plan is that WildFly 34.x will be the final release series that would run on Java SE 11. Beginning with the WildFly 35 release, the minimum Java SE version for a WildFly server will be SE 17. We have now executed on this plan by updating the WildFly 'main' branch to build SE 17 binaries. If you are consuming WildFly nightly builds or building WildFly...

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Save the Date: WildFly Mini Conference on Nov 20th

Hello, WildFly Community! We are happy to announce that the next WildFly Mini Conference is scheduled for November 20th, 2024! Building on the success of our previous mini conference event, we are eager to bring together our community for another day of insightful discussions and online networking. As you know, a few weeks ago we sent a request for feedback. Based on the feedback we received, the most voted topics were: Jakarta EE11: Dive deep...

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WildFly 34 is released!

I’m pleased to announce that the new WildFly and WildFly Preview 34.0.0.Final releases are available for download at https://wildfly.org/downloads. New and Notable This quarter we had a heavy focus on WildFly Preview. WildFly Preview now includes support for Jakarta Data 1.0. This feature is provided at the preview stability level. WildFly Preview now supports MicroProfile REST Client 4.0. WildFly Preview now supports MicroProfile Telemetry 2.0. As part of a general reorganization of our end user...

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Introducing Jakarta Data in WildFly Preview

I’m excited that in the 34 Beta release we were able to introduce support for Jakarta Data into WildFly Preview. It was a bit of an unexpected last minute thing that we were able to do this, which left us without time to much in the way of documentation. We’ll correct that for WildFly 35, but in the meantime I’ll use this blog post as a way to introduce the basics. Note In the 34...

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