Creating a Self Trust In Keystone

Lets say you are an administrator of an OpenStack cloud. This means you are pretty much all powerful in the deployment. Now, you need to perform some operation, but you don’t want to give it full admin privileges? Why? well, do you work as root on your Linux box? I hope note. Here’s how to set up a self trust for a reduced set of roles on your token.
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Converting a RHEL Workstation to a Server

My laptop is my Demo machine.  I need to be able to run the Red Hat cloud Suite of software on it.  I want to install this software the same way a customer would.  However, much of this software is server side software, and my machine was registered as a workstation. This means the Red Hat Content network won’t show me the server yum repositories.  Here is how I converted my machine to be a server.

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Using an Ansible Tower Inventory from Command Line Ansible

In an earlier post, I wrote about using the OpenStack Ansible inventory helper when calling and Ansible command line tools. However, When developing an playbook, often there is more information pulled from the inventory than just the set of hosts. Often, the inventory also collects variables that are used in common across multiple playbooks. For this reason, and many more, I want to be able to call an Ansible playbook or Ad-Hoc command from the command line, but use the inventory as defined by an Ansible Tower instance. It turns out this is fairly simple to do, using the REST API.

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Optimizing R: Replace data.frame with parallel vectors

“First make it work, then make it faster” — Brian Kerningham

However, if the program takes too long to run, it might not be possible to make it correct. Iterative development breaks down when each iteration takes several hours. Some R code I was working with was supposed to run for a 1000 iterations, but with each iteration taking 75 seconds to run, we couldn’t take the time to let it run to completion. The problem was the continued appending of rows to a data.frame object.  Referred to as the Second Circle here. That in turn points to this larger article about problems R programmers find themselves facing. . How does one extricate oneself? Here were my steps.
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