WildFly Project News
Until WildFly 19 you could use Eclipse MicroProfile OpenTracing (MPOT) to trace your application using environment variables relying on the SmallRye OpenTracing implementation. With WildFly 19 you can now configure several Jaeger Tracers to be used in your applications. Installing Jaeger Let’s start a jaeger instance using docker : docker run -d --name jaeger \ -p 6831:6831/udp \ -p 5778:5778 \ -p 14268:14268 \ -p 16686:16686 \ jaegertracing/all-in-one:1.16 Now, you can navigate to http://localhost:16686 to...
I’m pleased to announce that the WildFly 19 Final zip is now available for download. Work on WildFly 19 has been a long and exciting journey, with tremendous help from contributors in the community, a lot of support from the communities behind the components we integrate (particularly the Smallrye folks) and crucial backing from many of my colleagues at Red Hat, particularly all the QE folks who helped make sure all the new goodies really...
I’m pleased to announce that the WildFly 19 Beta1 zip is now available for download. I typically don’t blog about the WildFly betas, but I want to this time because I’m so thrilled to be able to say we’ve gotten implementations of all of the MicroProfile 3.2 specifications in this release! This is the first WildFly release that includes all the MicroProfile platform specs. We’ve added three new subsystems to provide support for the MicroProfile...
I’m pleased to announce that with today’s WildFly 19.0.0.Beta3 release WildFly supports the Eclipse MicroProfile 3.3 platform specifications! The WildFly 19 Beta3 zip is now available for download. With the January release of WildFly 19 Beta1 we added support for MicroProfile 3.2. Since the MicroProfile 3.3 release was coming in February and the delta from 3.2 wasn’t too extreme we decided to go ahead and delay WildFly 19 a bit and go for MicroProfile 3.3...
What is a log filter? A log filter is used to add fine grained control over a log message. In the case of WildFly this is a java.util.logging.Filter. As of WildFly 18 there is the ability to use custom log filters. Creating a Filter To create a filter you must implement the java.util.logging.Filter interface. The filter must be in a module and can be defined on a logger or a handler via the filter-spec attribute....
Galleon is a tool for provisioning Java runtimes. It comes with plugins for provisioning WildFly server instances. We have been using it internally in WildFly to build and configure the server the past few releases, and we recently introduced it into our OpenShift cloud image to be able to create a server with a smaller footprint than the default. This post will give an overview of how to use Galleon to provide your additions to...
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 you how...
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 of flexibility when composing a...
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 I announced last month,...
