Getting Started with OpenShift: A Guide for Impatient by Steve Pousty
By Steve Pousty
Intrigued via the probabilities of constructing net purposes within the cloud? With this concise publication, you get a brief hands-on advent to OpenShift, the open resource Platform as a carrier (PaaS) providing from pink Hat. you are going to research the stairs essential to construct, set up, and host a whole real-world software on OpenShift, with no need to learn lengthy, special reasons of the applied sciences concerned. even though the e-book makes use of Python, software examples in different languages can be found on GitHub. for those who can construct internet functions, use a command line, and application in Java, Python, Ruby, Node.js, personal home page, or Perl, you are prepared to start.
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Additional info for Getting Started with OpenShift: A Guide for Impatient Beginners
Hardcoding the values pointed to by the environment variables in your OpenShift applica‐ tion can cause it to break. So, in case you didn’t get the message, don’t hardcode the values of the environment variables. You can view the values of some of the essential environment variables, such as your database details, in the output of the command rhc app show -a appname. To view all of the environment variables and their values, SSH into your application gear and ex‐ ecute the command env. To view only the environment variables with names including the word “OPENSHIFT,” use the command env | grep OPENSHIFT.
The cartridge gives visibility to some key information, including the amount of CPU and RAM use (and how that relates to the gear limit), how much swap space is being utilized, application process IDs, and whether or not your applica‐ tion is in an idle state. Figure 4-1. The OpenShift Metrics cartridge interface Another monitoring option is the Monit cartridge, which uses the open source Monit process supervision tool. The cartridge comes with some predefined rules for checking OpenShift application availability, storage, and memory use.
Action hook scripts need to be added and committed in Git just like any other repository file. When they are pushed to the cloud, you will see any effects as the build lifecycle runs. For example, if you delete files in the /tmp directory as part of an action hook, the git push output will echo the result of that command unless you tell your script to swallow output. Hot-Deploying Code When we pushed our code changes to the example application, we saw that the Python cartridge was stopped while the app was built and deployed, and then started back up again.