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Introduction In this guide, we will show you how we can containerize a JAX-RS PostgreSQL demo application to run on WildFly in a local OpenShift cluster. We will explore the different options we have to configure the data source subsystem in a cloud-based infrastructure. First of all, we will use the WildFly Datasources Galleon Pack to bring in the PostgreSQL data source and driver configuration to our WildFly server. Later, we will show...
WildFly 18 S2I docker images WildFly s2i builder and runtime Docker images for WildFly 18 have been released on quay.io/wildfly Changes since last release: New env variable GALLEON_PROVISION_LAYERS=<layers list> that you can use during s2i to provision a custom WildFly server. It does replace the GALLEON_PROVISION_SERVER that was only offering a subset of Galleon layers. You can now provision WildFly server by directly providing Galleon layers. This offers a lot...
I’m pleased to announce that the WildFly 18 Final zip is now available for download. This has been a very busy summer for the many folks who contribute to WildFly; a lot of long hours and a lot of progress. I’m forever grateful for the chance to work on a project with such a great group of people. So, what have we been up to? Jakarta EE and Java EE As...
Tuesday was a great day in the world of enterprise Java. It’s been a long road since Jakarta EE was born following Oracle’s announcement that stewardship of Java EE would be moving to the Eclipse Foundation. But after a lot of hard work by folks in the Jakarta community, Jakarta EE 8 has been released. Congratulations to everyone involved with the Jakarta EE Platform project and all the various spec projects...
WildFly 17.0.1 Final is now available for download. We had a number of important bug fixes ready to go so we decided to do a micro release for WildFly 17. I also wanted to blog a bit about using Galleon to update an existing Galleon-provisioned WildFly installation after a new release comes out. Jira Release Notes The full list of issues resolved in WildFly 17.0.1 is available here. Issues resolved...
WildFly 17 S2I image on quay.io Starting with WildFly 17, the WildFly S2I Docker image is now accessible from quay.io at this URL: https://quay.io/repository/wildfly/wildfly-centos7 A companion image, a WildFly runtime Docker image that allows you to chain builds in OpenShift or use Docker multi stage builds, is available from: https://quay.io/repository/wildfly/wildfly-runtime-centos7 For a complete documentation on how to use these images...
I’m pleased to announce that WildFly 17 Final is now available for download. A lot of effort in this last quarter has gone into using WildFly in cloud environments, which I’ll expand on more below, but first I wanted to touch on improvements we’ve made in the main WildFly server. Clustering Improvements You can now use a separate subsystem for configuring distributed web session managers. This will help users...
After HipChat got closed down earlier this year we evaluated a few alternative chat solutions. During this period we temporarily moved community discussions back to IRC (#wildfly on Freenode). We found that Zulip worked well for us and have now settled on this as our main chat tool. Thanks to the people at Zulip for their open source license! To join in, go to https://wildfly.zulipchat.com and sign up. The most obvious stream...
Following the release of WildFly 16, I thought it would be a good time to give the WildFly community a sense of what I see coming in the project over the next few releases. WildFly will continue with the quarterly delivery model we began last year with WildFly 12. These releases are essentially time-boxed; i.e. we typically won’t significantly delay a release in order to get a feature in. So when...
This post has been co-authored with Jorge Morales and Josh Wood from the OpenShift Developer Advocacy Team. Jorge is passionate about Developer experience, Java programming, and, most importantly, improving the integration of Red Hat’s Middleware into the OpenShift platform. Josh is committed to constructing the future of utility computing with open source technologies like Kubernetes. Problem space Containers are becoming the default deployment strategy for applications in the enterprise. We’ve seen the...
