In the interest of simplifying the development and deployment of Kubevirt, we decided to make sure it was possible to run with minishift. After downloading and running the minishift binary, I had a working minishift cluster. However, in order to deploy the api-server to the cluster, I needed an external IP; otherwise I’d get the error:
Error: service "" is invalid spec.externalIPs: Forbidden: externalIPs have been disabled
When tests fail, as they often will, the debugger can greatly shorten the time it takes to figure out why. The Kubevirt functional tests run essentially as a remote client. Getting a debuggable setup is not that different from my earlier post on running virt-launcher in the debugger.
While developing Kubevirt, I often want to step through my code. My most recent tasks have involved the virt-controller process. Here’s how I debug them. Continue reading →
Organization is essential to scale. Compare the two images of cabling a data center:
A well organized wiring approach to the data center.One of the less egregious cabling nightmares
Obviously, the top image appears much more organized. I don’t think it is accidental that the better organized approach is visible in the larger data center. In order to scale, you need organization. If you have a small number of servers, a haphazard cabling scheme is less likely to impact your ability to trace and fix network problems. Such an approach would not work for a million-node data center.
The same is true of code. Without many of the visual cues we use to navigate the real world, tracking code can be very difficult. Thus, code can degenerate into chaos as fast or faster than physical devices. Indeed, the long standing name for poorly organized code is “Spaghetti Code” which is an analogy to the same kind of linear mess we can visualize with the network cables.
Dependency injection provides a tool to help minimize the chaos. Instead of wires run across the data center direct from one machine to another, the well organized scheme routes them to intermediate switches and routers in a standardized way. Just so, dependency injection provides an mediator between components, removing the need for one component to know the approach used to create the specific instance.
The guiding rule is that dependency injection separates object use from object construction.
It has been enjoyable to learn the Kubevirt code base and coding in Go. However, unless the code gets deployed to servers, no one will use it in production. I’ve been learning OpenShift as an integration point for Kubevirt. Here are my notes for getting it up and running. This is not quite production grade, but should help write a proper deployment mechanism.
Please note, as of KubeVirt v0.17 installing KubeVirt directly via manifests is deprecated. KubeVirt is now deployed using the operator pattern.
From December 2011 until December 2016, my professional life was driven by OpenStack Keystone development. As I’ve made an effort to diversify myself a bit since then, I’ve also had the opportunity to reflect on our approach, and perhaps see somethings I would like to do differently in the future. Continue reading →
In my last post on the subject, I mentioned that I was able to use kubectl to get the same information as oc describe clusterPolicy. Here are some more details.
Last time I walked through the process of merging two sets of Kubernetest client configurations into one. For more ephemeral data, you might not want to munge it all into your main configuration. The KUBECONFIG environment variables lets you specify muiltiple configuration files and merge them into a single set of configuration data.