Happy and Healthy Heterogeneous Build Slaves in Jenkins

After moving off the CloudBees platform, one thing that quickly became apparent was that an OpenShift Jenkins build slave simply runs out of resources when asked to build moderately-complex Scala software, on two fronts - the 500Mb RAM hard limit is quickly hit during SBT builds (particularly during tests) and the 1Gb of disk space is also very limiting once a few dependencies have been pulled into the Ivy cache.

So a second slave was brought on line - my old Dell Inspiron 9300 laptop from 2006 - which (after an upgrade to 2Gb of RAM for a handful of dollars online) has done a sterling job. Running Ubuntu 14.04 Desktop edition seems to not tax the Intel Pentium M too badly, and it seemed crazy to get rid of that amazing 17" 1920x1200 screen for a pittance on eBay. Now at this point I had two slaves on line, with highly different capabilities.

Horses for Courses

The OpenShift node (slave1) has low RAM, slow CPU, very limited persistent storage but exceptionally quick network access (being located in a datacenter somewhere on the US East Coast), while the laptop (slave2) has a reasonable amount of RAM, moderate CPU, tons of disk but relatively slow transfer rates to the outside world, via ADSL2 down here in Australia. How to deal with all these differences when running jobs that could be farmed out to either node?

The solution is of course the classic layer of indirection that allows the different boxes to be addressed consistently. Here is the configuration for my slave1 Redhat box on OpenShift:

Note the -mem argument in the SBT_COMMAND which sets the -Xmx and -Xms to this number and PermGen to 2* this number, keeping a lid on resource usage. And here's slave2, the Ubuntu laptop, with no such restriction needed:

And here's what a typical build job looks like:

Caring for Special-needs Nodes

Finally, my disk-challenged slave1 node gets a couple of Jenkins jobs to tend to it. The first periodically runs a git gc in each .git directory under the Jenkins workspace (as per a Stack Overflow answer) - it runs quota before-and-after to show how much (if anything) was cleared up:

The second job periodically removes the target directory wherever it is found - SBT builds leave a lot of stuff in here that can really add up. Here's what it looks like:

Walking away from CloudBees Part 5 - Publishing and Fine-Tuning

Publishing private artefacts to a private Nexus repository

As per my new world order diagram, I decided to use my third and final free OpenShift node as a Nexus box, and what a great move that turned out to be. Without a doubt the easiest setup of a Nexus box I've ever experienced:

• Log in to OpenShift
• Click theAdd Application... button
• Scroll down to the Code Anything heading, and paste http://nexuscartridge-openshiftci.rhcloud.com/ into the URL textbox
• Click Next, nominate the URL for the box, and wait a few minutes

Wow. More detail (if you need it) from OpenShift.

Publishing open-source artefacts to a public repository

As all of my open-source efforts are now written in Scala with SBT as the build tool, it was a simple matter to add the bintray-sbt plugin to each of them, allowing publication to BinTray, or more specifically, The Millhouse Group's little corner of it.

The only trick here was SSHing into the Jenkins Build slave (one time) and adding an ${OPENSHIFT_DATA_DIR}/.bintray/.credentials file so that an sbt publish would succeed.

Deployment of webapps to Heroku

As with most things open and/or free, someone has been here before - this blog post, together with the Heroku Jenkins Plugin README were a very good starting point for getting this all working.

In brief, the steps are:

• Install the Heroku and Git Publisher Jenkins plugins
• Grab your Heroku API key from your Account Settings page, and put it into Manage Jenkins -> Configure System -> Heroku -> API Key
• Grab the details of the Heroku remote from your .git/config in your local repo, or from the "Git URL" in the Info on your app's Settings page on Heroku.
• Set this up as an additional Git repo in your Jenkins build, and name it heroku. For safety, I like to name my other repo (i.e. the one holding the source that triggers builds) appropriately as well; it avoids confusion.
  • Actual example:
  • I name my source repo bitbucket
  • Thus my Branch Specifier is bitbucket/master
• Add a new Git Publisher Post-Build Action, that pushes to heroku/master when the build succeeds

Fine-tuning the OpenShift build setup

Having to do "Layer-8" timezone conversion when reading build logs is just annoying so put the slave node into your local time zone by navigating to (Manage Jenkins -> Manage Nodes -> Slave -> Configure icon -> Launch Method -> Advanced -> JVM Options) (phew!) and setting it to:

-Duser.home=${OPENSHIFT_DATA_DIR} -Duser.timezone="Australia/Melbourne" -XX:MaxPermSize=1M -Xmx2M -Xss128k

(You might need to consult the list of Java timezone ids)

The final pieces of the puzzle were the configuring the "final destinations" of my private artifacts (my gets sent to BinTray courtesy of the bintray-sbt plugin). Details follow.

After that, a little bit of futzing around to get auto-triggered builds working from both GitHub and BitBucket, and I had everything back to normal, or possibly, even better - I now have unlimited app slots on Heroku versus four on CloudBees - and I'm somewhat insulated from outages of a single provider. Happy!

Walking away from CloudBees Episode 4: A New Hope

With CloudBees leaving the free online Jenkins scene, I was unable to Google up any obvious successors. Everyone seems to want cash for builds-as-a-service. It was looking increasingly likely that I would have to press some of my own hardware into service as a Jenkins host. And then I had an idea. As it turns out, one of those cloudy providers that I had previously dismissed, OpenShift, actually is exactly what is needed here!

The OpenShift Free Tier gives you three Small "gears" (OpenShift-speak for "machine instance"), and there's even a "cartridge" (OpenShift-speak for "template") for a Jenkins master!

There are quite a few resources to help with setting up a Jenkins master on OpenShift, so I won't repeat them, but it was really very easy, and so far, I haven't had to tweak the configuration of that box/machine/gear/cartridge/whatever at all. Awesome stuff. The only trick was that setting up at least one build-slave is compulsory - the master won't build anything for you. Again, there are some good pages to help you with this, and it's nothing too different to setting up a build slave on your own physical hardware - sharing SSH keys etc.

The next bit was slightly trickier; installing SBT onto an OpenShift Jenkins build slave. This blog post gave me 95 percent of the solution, which I then tweaked to get SBT 0.13.6 from the official source. This also introduced me to the Git-driven configuration system of OpenShift, which is super-cool, and properly immutable unlike things like Puppet. The following goes in .openshift/action_hooks/start in the Git repository for your build slave, and once you git push, the box gets stopped, wiped, and restarted with the new start script. If you introduce an error in your push, it gets rejected. Bliss.

cd $OPENSHIFT_DATA_DIR
if [[ -d sbt ]]; then
  echo “SBT installed”
else
  SBT_VERSION=0.13.6
  SBT_URL="https://dl.bintray.com/sbt/native-packages/sbt/${SBT_VERSION}/sbt-${SBT_VERSION}.tgz"
  echo Fetching SBT ${SBT_VERSION} from $SBT_URL
  echo Installing SBT ${SBT_VERSION} to $OPENSHIFT_DATA_DIR
  curl -L $SBT_URL  -o sbt.tgz
  tar zxvf sbt.tgz sbt
  rm sbt.tgz
fi

The next hurdle was getting SBT to not die because it can't write into $HOME on an OpenShift node, which was fixed by setting -Duser.home=${OPENSHIFT_DATA_DIR} when invoking SBT. (OPENSHIFT_DATA_DIR is the de-facto writeable place for persistent storage in OpenShift - you'll see it mentioned a few more times in this post)

But an "OpenShift Small gear" build slave is slow and severely RAM-restricted - so much so that at first, I was getting heaps of these during my builds:

...
Compiling 11 Scala sources to /var/lib/openshift//app-root/data/workspace//target/scala-2.11/test-classes... 
FATAL: hudson.remoting.RequestAbortedException: java.io.IOException: Unexpected termination of the channel
hudson.remoting.RequestAbortedException: hudson.remoting.RequestAbortedException: java.io.IOException: Unexpected termination of the channel
 at hudson.remoting.RequestAbortedException.wrapForRethrow(RequestAbortedException.java:41)
 at hudson.remoting.RequestAbortedException.wrapForRethrow(RequestAbortedException.java:34)
 at hudson.remoting.Request.call(Request.java:174)
 at hudson.remoting.Channel.call(Channel.java:742)
 at hudson.remoting.RemoteInvocationHandler.invoke(RemoteInvocationHandler.java:168)
 at com.sun.proxy.$Proxy45.join(Unknown Source)
 at hudson.Launcher$RemoteLauncher$ProcImpl.join(Launcher.java:956)
 at hudson.tasks.CommandInterpreter.join(CommandInterpreter.java:137)
 at hudson.tasks.CommandInterpreter.perform(CommandInterpreter.java:97)
 at hudson.tasks.CommandInterpreter.perform(CommandInterpreter.java:66)
 at hudson.tasks.BuildStepMonitor$1.perform(BuildStepMonitor.java:20)
 at hudson.model.AbstractBuild$AbstractBuildExecution.perform(AbstractBuild.java:756)
 at hudson.model.Build$BuildExecution.build(Build.java:198)
 at hudson.model.Build$BuildExecution.doRun(Build.java:159)
 at hudson.model.AbstractBuild$AbstractBuildExecution.run(AbstractBuild.java:529)
 at hudson.model.Run.execute(Run.java:1706)
 at hudson.model.FreeStyleBuild.run(FreeStyleBuild.java:43)
 at hudson.model.ResourceController.execute(ResourceController.java:88)
 at hudson.model.Executor.run(Executor.java:232)
...

which is actually Jenkins losing contact with the build slave, because it has exceeded the 512Mb memory limit and been forcibly terminated. The fact that it did this while compiling Scala - specifically while compiling Specs2 tests - reminds me of an interesting investigation done about compile time that pointed out how Specs2's trait-heavy style blows compilation times (and I suspect, resources) out horrendously compared to other frameworks - but that is for another day!

If you are experiencing these errors on OpenShift, you can actually confirm that it is a "memory limit violation" by reading a special counter that increments when the violation occurs. Note this count never resets, even if the gear is restarted, so you just need to watch for changes.

A temporary fix for these issues seemed to be running sbt test rather than sbt clean test; obviously this was using just slightly less heap space and getting away with it, but I felt very nervous at the fragility of not just this "solution" but also of the resulting artifact - if I'm going to the trouble of using a CI tool to publish these things, it seems a bit stupid to not build off a clean foundation.

So after a lot of trawling around and trying things, I found a two-fold solution to keeping an OpenShift Jenkins build slave beneath the fatal 512Mb threshold.

Firstly, remember while a build slave is executing a job there are actually two Java processes running - the "slave communication channel" (for want of a better phrase) and the job itself. The JVM for the slave channel can safely be tuned to consume very few resources, leaving more for the "main job". So, in the Jenkins node configuration for the build slave, under the "Advanced..." button, set the "JVM Options" to:

-Duser.home=${OPENSHIFT_DATA_DIR} -XX:MaxPermSize=1M -Xmx2M -Xss128k

Secondly, set some more JVM options for SBT to use - for SBT > 0.12.0 this is most easily done by providing a -mem argument, which will force sensible values for -Xms, -Xmx and -XX:MaxPermSize. Also, because "total memory used by the JVM" can be fairly-well approximated with the equation:

Max memory = [-Xmx] + [-XX:MaxPermSize] + number_of_threads * [-Xss]

it becomes apparent that it is very important to clamp down the Stack Size (-Xss) as a Scala build/test cycle can spin up a lot of them. So each of my OpenShift Jenkins jobs now does this in an "Execute Shell":

export SBT_OPTS="-Duser.home=${OPENSHIFT_DATA_DIR} -Dbuild.version=$BUILD_NUMBER"
export JAVA_OPTS="-Xss128k"

# the -mem option will set -Xmx and -Xms to this number and PermGen to 2* this number
../../sbt/bin/sbt -mem 128 clean test

This combination seems to work quite nicely in the 512Mb OpenShift Small gear.

Walking away from Run@Cloud Part 3: Pause and Reflect

As a happy free-tier CloudBees user, my "build ecosystem" looked like this:

As CloudBees seem to have gone "Enterprise" in the worst possible way (from my perspective) and don't have any free offerings any more, I was now looking for:

• Git repository hosting (for private repos - my open-source stuff is on GitHub)
• A private Nexus instance to hold closed-source library artifacts
• A public Nexus instance to hold open-source artifacts for public consumption
• A "cloud" Jenkins instance to build both public- and private-repo-code when it changes;
  • pushing private webapps to Heroku
  • publishing private libs to the private Nexus
  • pushing open-source libs to the public Nexus

... and all for as close to $0 as possible. Whew!

I did a load of Googling, and the result of this is an ecosystem that is far more "diverse" (a charitable way to say "dog's breakfast") but still satisfies all of the above criteria, and it's all free. More detail in blog posts to come, but here's what I've come up with:

Walking away from Run@Cloud. Part 2: A Smooth Transition

So, having selected Heroku as my new runtime platform, how to move my stuff on there?

On the day of their announcement, Cloudbees provided an FAQ and a Migration Guide for their current customers.

In addition, Heroku most considerately have a CloudBees-to-Heroku migration guide (updated on the day of the CloudBees announcement, nice).

Setting up on Heroku proved delightfully simple, and with a git push heroku master from my machine, my first app was "migrated". Up and running, and actually (according to my simple metrics) responding more quickly than when it was hosted on CloudBees. Epic win, amirite?

Well, not entirely. The git push deploy method is all very well, but I dislike the implied trust it puts in the "pusher". How does anybody know what is in that push? Does it pass the tests? Does it even compile? When CloudBees was my end-to-end platform, I had the whole CI/CD chain thing happening so only verified, test-passing code actually made it through the gate. But Heroku doesn't offer such a thing - they just run what you push to them.

Well, if CloudBees wants to become the cloud Jenkins instance, and they continue to have a free offering, I will continue to use it. So let's get CloudBees building and testing my stuff, and then fire it over to Heroku to run it, all from a Jenkins instance on CloudBees.

Oh dear. CloudBees are no longer offering a free Jenkins service.

Back to the drawing-board!

Walking away from Run@Cloud. Part 1: Finding A Worthy Successor

In very disappointing news, last month CloudBees announced that they would be discontinuing their Run@Cloud service, a facility I have been happily using for a number of years.

I was using a number of CloudBees services, namely:

• Dev@Cloud Repos - Git repositories
• Dev@Cloud Builds - Jenkins in the cloud
• Run@Cloud Apps - PaaS for hosted Java/Scala apps
• Run@Cloud Database Service - for some MySQL instances
• MongoHQ/Compose.io ecosystem service - MongoDB in the cloud

In short, a fair bit of stuff:

... the best bit being of course, that it was all free. So now I'm hunting for a new place for most, if not all, of this stuff to live, and run, for $0.00 or as close to it as conceivably possible. And before you mention it, I've done the build-it-yourself, host-it-yourself thing enough times to know that I do not ever want to do it again. It's most definitely not free for a start.

After a rather disappointing and fruitless tour around the block, it seemed there was only one solution that encompassed what I consider to be a true "run in the cloud" offering, for JVM-based apps, at zero cost. Heroku.

Scala By Stealth, Part 1: SBTifying your Mavenized Build

I was faced with updating and extending some old Java code of mine recently, and it seemed like much more of a chore than it used to. The code in question does a lot of collection manipulation, and I was looking at the Java code (which was, if I say so myself, not too bad - clean, thoroughly-tested and using nice libraries like Google Guava where at all possible) thinking "ugh - that would be a couple of lines in Scala and way more readable at the same time".

At this point I realised it would be a perfect candidate for a step-by-step guide for converting a simple Maveni[sz]ed Java library project (e.g. resulting in a JAR file artifact) to an SBT-based, Scala library.

Shortly after that I realised this could be a terrific way for a traditional "Java shop" where everything up until now has been delivered as JARs (and/or WARs) into a private Nexus to get its feet wet with Scala without having to go with a risky "big-bang" approach. An iterative migration, if you will. So let's get started!

A tiny bit of background first though - I'm not going to bother anonymising the library I'll be migrating, because I will almost certainly forget to do so somewhere in the example snippets I'll be including. So I'll say it here: the library is called brickhunter, and it's the "engine" behind the web-scraping LEGO search engine you can use at brickhunter.net. The site itself is a Java/Spring MVC/JQuery webapp that I launched in late 2012, and was the last significant bit of Java I ever wrote. It includes brickhunter.jar as a standard Maven dependency, pulling it from my private Maven repo hosted by CloudBees.

Step 0 (A Precondition): A Cared-For Maven Java Project

You need to be doing this migration for a library that has redeeming qualities, and not one that suffers from neglect, lack of test coverage, or a non-standard building process. Generally, using Maven will have made the latter difficult, but if, somehow, weird stuff is still going on, fix that. And make sure your tests are in order - comprehensive, relevant and not disabled!

Step 1: An SBTified Java Project

• Create a new directory alongside the "legacy" project directory with a suitable name. For me, the obvious one was brickhunter-scala.
• Now recursively copy everything under src from legacy to new. Hopefully that gets everything of importance; if not, see Step 0 and decide what should be done.
• While a number of people have written helpers to automate the creation of a build.sbt from a pom.xml, unless you have a truly enormous number of dependencies, you're probably better-off just writing it yourself. For one thing, it's the obvious entry point to the enormous world of SBT, and there's plenty to learn;
• In a typical Maven shop you may have quite a stack of parent POMs bringing in various dependencies - I found the quickest way to get all of them into SBT style was by invoking mvn dependency:tree which for my project, gave me:

  [INFO] +- org.jsoup:jsoup:jar:1.6.1:compile
  [INFO] +- commons-lang:commons-lang:jar:2.6:compile
  [INFO] +- com.google.guava:guava:jar:11.0.1:compile
  [INFO] |  \- com.google.code.findbugs:jsr305:jar:1.3.9:compile
  [INFO] +- log4j:log4j:jar:1.2.16:compile
  [INFO] +- org.slf4j:slf4j-api:jar:1.6.4:compile
  [INFO] +- org.slf4j:slf4j-log4j12:jar:1.6.4:compile
  [INFO] +- com.themillhousegroup:argon:jar:1.1-SNAPSHOT:compile
  [INFO] +- org.testng:testng:jar:6.3.1:test
  [INFO] |  +- junit:junit:jar:3.8.1:test
  [INFO] |  +- org.beanshell:bsh:jar:2.0b4:test
  [INFO] |  +- com.beust:jcommander:jar:1.12:test
  [INFO] |  \- org.yaml:snakeyaml:jar:1.6:test
  [INFO] +- org.mockito:mockito-all:jar:1.9.0:test
  [INFO] \- org.hamcrest:hamcrest-all:jar:1.1:test
  

• Anything transitive (i.e. indented once or more) can be omitted as SBT will work that out for us just as Maven did.
• The eagle-eyed might notice an in-house dependency (argon) which clearly isn't going to be found in the usual public repos - it will need its own resolver entry in build.sbt.
• Here's how mine looked at this point:

name := "brickhunter-scala"

organization := "com.themillhousegroup"

version := "0.1"

scalaVersion := "2.10.3"

credentials += Credentials(Path.userHome / ".ivy2" / ".credentials")

resolvers += "tmg-private-repo" at "https://repository-themillhousegroup.forge.cloudbees.com/private/"

libraryDependencies ++= Seq(
  "org.jsoup"             % "jsoup"           % "1.6.1",
  "commons-lang"          % "commons-lang"    % "2.6",
  "com.google.guava"      % "guava"           % "11.0.1",
  "log4j"                 % "log4j"           % "1.2.16",
  "org.testng"            % "testng"          % "6.3.1"         % "test",
  "org.mockito"           % "mockito-all"     % "1.9.0"         % "test",
  "com.themillhousegroup" % "argon"           % "1.1-SNAPSHOT"  % "test"
)

• At this point, firing up SBT and giving it a compile command should be successful. If so, pat yourself on the back, and commit all pertinent files in source control. This is a good milestone!

Step 2: A Tested SBTified Java Project

• Compiling is all very well but you can't really be sure your SBT-ification has been a success until all the tests are passing, just like they did in Maven. They did all pass in Maven, didn't they?
• Here's where I hit my first snag, as my Java tests were written using the TestNG framework, which SBT has no idea how to invoke. And thus, the brickhunter-scala project gets its first plugin, the sbt-testng-interface.
• But now when running sbt test, instead of "0 Tests Found", I get a big stack trace - the plugin is expecting to find a src/test/resources/testng.yaml and I don't have one, because Maven "just knows" how to run a load of TestNG-annotated tests it finds in src/test/java, and I've never needed to define what's in the default test suite.
• The fix is to create the simplest possible testng.yaml that will pick up all the tests:

  name: BrickhunterSuite
  threadCount: 4
   
  tests:
    - name: All
      packages:
      - com.themillhousegroup.brickhunter
  

• And now we should have the same number of tests running as under Maven, and all passing. Commit all the changes!

Next time: Publishing the new artifact to your private repository.

Easy artifact uploads: MacOS to WebDAV Nexus

I posted a while back about using the WebDAV plugin for SBT to allow publishing of SBT build artifacts to the CloudBees repository system.

Well it turns out that this plugin is sadly not compatible with SBT 0.13, so it's back to the drawing board when publishing a project based on the latest SBT.

Luckily, all is not lost. Hinted at in a CloudBees post, your repositories are available via WebDAV at exactly the same location you use in your build.sbt to access them, but via https.

And the MacOS Finder can mount such a beast automagically via the Connect To Server (Command-K) dialog - supply your account name (i.e. the word in the top-right of your CloudBees Grand Central window) rather than your email address, and boing, you've got a new filesystem mounted, viz:

The only thing the WebDAV plugin actually did was create a new directory (e.g. 0.6) on-demand - so if you simply create the appropriately-named "folder" via the MacOS Finder, a subsequent, completely-standard SBT publish will work just fine.

You might even want to create a whole bunch of these empty directories (e.g. 0.7, 0.8, 0.9) while you're in there, so you don't get caught out if you decide to publish on a whim from somewhere else.

Publishing from SBT to CloudBees

As I'm a massive CloudBees fan, I'm starting to use more and more of their offerings. I've got a number of Play! Framework 2.1 apps (Scala flavour, natch) hosted up there and they Just Work, but I wanted to write a Scala library on Github and push it up to a CloudBees-hosted Maven repo for general consumption.

SBT is a nice tool for developing Scala, and will happily publish to a Nexus or other such Maven/Ivy repository, but CloudBees is a little trickier than that, because it's best suited to hosting CloudBees-built stuff (i.e. the output of their Jenkins-In-The-Cloud builds).

Their support for uploading "external" dependencies is limited to the WebDAV protocol only - a protocol that SBT doesn't natively speak. Luckily, some excellent person has minimised the yak-shaving required by writing a WebDAV SBT plugin - here's how I got it working for my build:

In project/plugins.sbt, add the WebDAV plugin:

resolvers += "DiversIT repo" at "http://repository-diversit.forge.cloudbees.com/release"

addSbtPlugin("eu.diversit.sbt.plugin" % "webdav4sbt" % "1.3")

To avoid plastering your CloudBees credentials all over Github, create a file in ~/.ivy2/.credentials:

realm={account} repository
host=repository-{account}.forge.cloudbees.com
user={account}
password=

Where {account} is the value you see in the drop-down at the top right when you login to CloudBees Grand Central. Don't forget the Realm, this is just as important as the username/password!

Next, add this to the top of your build.sbt:

import eu.diversit.sbt.plugin.WebDavPlugin._

and this later on:

credentials += Credentials(Path.userHome / ".ivy2" / ".credentials")

seq(WebDav.globalSettings : _*)

publishTo := Some("Cloudbees releases" at "https://repository-{account}.forge.cloudbees.com/"+ "release")

What this does: The first line tells SBT where to find that credentials file we just added.
The second line makes the webdav:publish task replace the default publish task, which is most-likely what you want. If it's not, use WebDav.scopedSettings and invoke the task with webdav:publish.
The third line specifies where to publish to, replacing all other targets. I found if I used the notation in the WebDAV plugin documentation:

publishTo <<= version { v: String =>
  val cloudbees = "https://repository-diversit.forge.cloudbees.com/"
  if (v.trim.endsWith("SNAPSHOT"))
    Some("snapshots" at cloudbees + "snapshot")
  else
    Some("releases" at cloudbees + "release")
}

...SBT would attempt to upload my artifact to not-just CloudBees, but any other extra repository I had configured with the resolvers expression higher up in build.sbt, and hence try and upload to oss.sonatype.org, which I'm not ready for just yet! "Releases" is sufficient for me, I don't need the "snapshots" option.

And with that, it should just work like a charm:

> publish
[info] WebDav: Check whether (new) collection need to be created.
[info] WebDav: Found credentials for host: repository-{account}.forge.cloudbees.com
[info] WebDav: Creating collection 'https://repository-{account}.forge.cloudbees.com/release/net'
[info] WebDav: Creating collection 'https://repository-{account}.forge.cloudbees.com/release/net/foo'
[info] WebDav: Creating collection 'https://repository-{account}.forge.cloudbees.com/release/net/foo/bar_2.9.2'
[info] WebDav: Creating collection 'https://repository-{account}.forge.cloudbees.com/release/net/foo/bar_2.9.2/0.1'
[info] WebDav: Done.
...
[info]  published bar_2.9.2 to https://repository-{account}.forge.cloudbees.com/release/net/foo/bar_2.9.2/0.1/bar_2.9.2-0.1.pom
[info]  published bar_2.9.2 to https://repository-{account}.forge.cloudbees.com/release/net/foo/bar_2.9.2/0.1/bar_2.9.2-0.1.jar
[info]  published bar_2.9.2 to https://repository-{account}.forge.cloudbees.com/release/net/foo/bar_2.9.2/0.1/bar_2.9.2-0.1-sources.jar
[info]  published bar_2.9.2 to https://repository-{account}.forge.cloudbees.com/release/net/foo/bar_2.9.2/0.1/bar_2.9.2-0.1-javadoc.jar