Using Terraform with Rackspace Public Cloud

Handling a huge scale of infrastructure requires automation and infrastructure as code. Terraform is a tool that helps to manage a wide variety of systems including dynamic server lifecycle, configuration of source code repositories, databases, and even monitoring services. Terraform uses text configuration files to define the desired state of infrastructure. From those files, Terraform provides information on the changes to be made based on the current state of that infrastructure, and can make those changes.

You can use the MyCloud Control Panel and the Orchestration service to create a new Rackspace server and install Jenkins in one step.

We're excited to announce that Cloud Orchestration is now accessible via rack!

This is the fourth and last article in my series on OpenStack orchestration with Heat. In the previous articles, I gave you a gentle introduction to Heat, and then I showed you some techniques to orchestrate the deployment of single and multiple instance applications on the cloud, all done with generic and reusable components.

Today I'm going to discuss how Heat can help with one of the most important topics in cloud computing: scalability. Like in my previous articles, I'm going to give you actual examples that you can play with on your OpenStack cloud, so make sure you have an environment where you can run tests, whether it's a Rackspace Private Cloud, DevStack or any other OpenStack distribution that includes Heat.

Background

Docker announced Docker Machine in December 2014. This clever new software eliminates the need to create virtual machines and install Docker before starting Docker containers on them. It handles the provisioning and install process for you behind the scenes. You can learn more about Docker Machines at its GitHub project page.

Let's take a quick look at how we can get some of this awesomeness!

This is the third article in my series on OpenStack orchestration with Heat. In Part 1, I introduced the HOT template syntax, and then in Part 2, I showed you some of the techniques Heat offers to orchestrate the deployment of applications that run entirely within a single compute instance.

Today, building on the same ideas exposed in my previous article, I'm going to show you how to design deployments across more than one instance, and I'm going to demonstrate these concepts by deploying an application that runs on a server and connects to a MySQL database on another server. You have seen how to deploy a Python application in my previous examples, so, to add some variety, I'm now going to switch to a PHP application as guinea pig. That application is none other than the venerable Wordpress.

Welcome to the second part of my series on OpenStack orchestration with Heat. In the previous article I gave you an introduction to Heat orchestration. All the examples I showed you were simple and not terribly useful, as they were only intended to introduce the structure of the HOT (Heat Orchestration Template) syntax.

In today's article, I'm going to elevate the complexity quite a bit, demonstrating some of the tricks you can use with Heat to perform deployments of single instance applications. As with the introductory examples, you are encouraged to try my examples on a Rackspace Private Cloud, DevStack or any other OpenStack installation that includes Heat.

With this article I begin a series of hands-on developer oriented blog posts that explore OpenStack orchestration using Heat.

To make the most of this article, I recommend that you have an OpenStack installation where you can run the examples I present below. You can use our Rackspace Private Cloud distribution, DevStack, or any other OpenStack distribution that includes Heat.

This is a guest post written by Michael DeHaan, CTO at AnsibleWorks. AnsibleWorks provides IT orchestration solutions that simplify the way IT manages systems, applications, and infrastructure.

A while back I wrote about Ansible as a way to simply automate IT infrastructure, and showed how to achieve some interesting zero-downtime rolling update capabilities.

In the spirit of both furthering our position within the OpenStack cloud arena and making your life in the cloud much easier, Rackspace is excited to announce that over the next few months we will be expanding our capabilities around automating the orchestration of customers’ resource provisioning and application deployment.

In April, we joined forces with the OpenStack Heat Orchestration community to help round out the capabilities of the Heat project with the intent to extend the benefits of Heat Orchestration to Rackspace customers.