Jenkins in seconds with Azure Container Instances

Recently Microsoft announced an interesting new addition to their public cloud offering: Azure Container Instances. Azure Container Instances are fast and billed by the second, which is quite compelling on its own. They are interesting in that they provide two novel levels of container orchestration, the first is rather basic:"take this container and run it." The second is an integration with Kubernetes which allows the Kubernetes cluster, most likely one an Azure Container Service, to schedule container workloads through Azure Container Instances rather than on the existing Kubernetes agents )VMs) via the "ACI connector." As this service matures, this could enable some very novel load-based bursting, or cost-saving, deployment patterns on top of Kubernetes in Azure.

Jenkins on Azure Container Instances_

The Jenkins project has been publishing official releases as Docker containers for some time, so last Friday I decided it would be interesting to experiment with launching Jenkins as an Azure Container Instance. I'll first launch Jenkins "the easy way," then review some of the challenges and more advanced approaches.

The Easy Way

  1. Create a Resource Group into which the Azure Container Instance will be deployed: az group create --name jenkins --location eastus
  2. Deploy the container: az container create --image jenkins/jenkins:lts-alpine --name jenkins --resource-group jenkins --ip-address public --port 8080

In a matter of seconds Jenkins will be up and running. In fact, it seems that it takes longer for the JVM to boot than it does for Azure to provision the container instance, which is pretty slick.

I can inspect my containers with: az container list

➜  ~  az container list
Name     ResourceGroup    ProvisioningState    Image                       IP:ports             CPU/Memory       OsType    Location
-------  ---------------  -------------------  --------------------------  -------------------  ---------------  --------  ----------
jenkins  jenkins          Creating             jenkins/jenkins:lts-alpine  1.0 core/1.5 gb  Linux     eastus
➜  ~

When I navigate to the IP address listed, I'm presented with the familiar Jenkins Post-install Setup Wizard, which prompts me for the administrator token to configure the instance. Again using the Azure command line, I can fetch the recent log output with: az container logs --name jenkins --resource-group jenkins, which dumps something like this to my console:

Jul 31, 2017 5:48:33 PM jenkins.install.SetupWizard init


Jenkins initial setup is required. An admin user has been created and a password generated.
Please use the following password to proceed to installation:


This may also be found at: /var/jenkins_home/secrets/initialAdminPassword


Jul 31, 2017 5:48:34 PM hudson.model.UpdateSite updateData
INFO: Obtained the latest update center data file for UpdateSource default

With this generated password I can complete the set up of Jenkins and get started! Hurrah!

Caveats and Outstanding Questions

Of course, this is really helpful for testing with Jenkins but the example above is stateless. When I delete the instance (az container delete --name jenkins --resource-group jenkins) all my configured Pipelines and settings are lost. Azure Container Instances do support stateful containers but it's a bit more tedious to set up than I wanted to cover in this blog post.

Another interesting behavior I noticed while working with my Jenkins Azure Container Instances was "No valid crumb issued" errors when saving configuration. These errors typically indicate an aggressive reverse proxy between the end-user and Jenkins. This can be easily remedied with the "Enable proxy compatibility" setting in the "Configure Global Security" page in Jenkins:

Crumb compatibility

Finally, it's not clear how to properly utilize the public IP address assigned to the Azure Container Instance. Whether it's something that could be linked with Azure DNS, or put behind an Azure Load Balancer.

Azure Container Instances are very new to the Azure ecosystem, and as such I wouldn't recommend using them for production-level workloads just yet, but they do look like a very handy tool for development, testing, and demonstration of container-based applications. In the case of Jenkins, if you start automating Jenkins with Groovy you could readily create your own custom Jenkins container which, out of the box, has everything configured for testing in seconds via an Azure Container Instance.

You can learn more about Azure Container Instances here, which support Linux containers first; Windows support is on the way. The adoption of open source tools and technology by Microsoft in Azure is rapidly becoming a competitive advantage compared to Amazon Web Services which, as a consumer and open source advocate, is very exciting to watch. If you haven't taken a look at Azure recently, I recommend it!

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