Cloud is passing the hype curve and we are seeing more stable developments and offerings on the market. Lately I’ve been playing with RedHat’s Openshift. Openshift is a PaaS (Platform as a Service) offering that intends to be an alternative for vendors such as Heroku. The focus for such offerings is to give developers enough flexibility and tools that handle the application deployment and maintenance process in a way that is integrated with their existing development workflow and tools.
I’ve been using Heroku for a while to deploy small to medium size projects. I liked the tools and developer-centered experience they offer. Openshift is quite new on the market and it comes in two flavors: Openshift Online, which is a PaaS service, and Openshift Enterprise, which allows organization to setup a PaaS within their own infrastructure. Both of them powered by the Openshift origin software. I’ll not compare Heroku vs. Openshift feature by feature but from my experience I can tell that Openshift is far from mature and will need to give developers more features to increase adoption.
When developing applications for Openshift developers are given a set of application stack components, similar to Heroku’s buildpacks. They call them cartridges. You can think of them as operating system packages, since the idea is the same: have a particular application stack component ready to be used by application developers. Most of the cartridges offered by the service are base components such as application server, programming language interpreters (Ruby, Python, etc), web development frameworks and data storage, such as relational and non-relational databases. Cartridges are installed inside a gear, which is a sort of application container (I believe it uses LXC internally). Unsurprisingly this Openshift component doesn’t leverage on existing packaging for RHEL 64bit, the OS that powers the service. I’d expect such things from the RedHat ecosystem.
I had to develop a cartridge to have a particular BI engine to be used as embed component by application developers. After reading docs and reference I realized this can be piece of cake, since I have packaging experience. Wrong. Well, quite so. The tricky part for Openshift Online is that it does not offer enough information on the cartridge install process so you can see what’s going wrong. To be able to see more details on the process you’ll need to setup an Openshift origin server and use it as a testing facility. Turns out that having a Origin server to operate correctly is also a challenging task and consumed a lot of my time. Over the recent weeks I’ve learned from origin developers that such features are on the road map for the upcoming releases. That’s good news.
One of the challenges I had, and still have to figure out, is that unlike the normal cartridges mine didn’t required to launch any service. Since it is a BI engine I just needed to configure and deploy to an application server such as JBoss. Cartridge format requires to have a sort of service init.d script under bin along with setup, install and configuration scripts that are ran on install. Although every day I become more familiar with origin and Openshift internals I still have work to do. Nice thing is that I was already familiar with LXC and Ruby-based applications so I could figure where things are placed and where to look for errors on origin quite easily. The cartridges are on my github account if you care to take a look and offer advice.