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Protected "OPS635-lab-openshift": OER transfer ([Edit=Allow only administrators] (indefinite) [Move=Allow only administrators] (indefinite))
Deploying containerized services using a platform as a service (PaaS) tool can make it easier to manage having multiple services deployed across a larger number of machines.
===Pre-Requisites===
*You must have completed accounts on github and quay.io. The process for obtaining both is outlined in the docker lab, otherwise you will have to create a new docker imageDO180 student guide available through the RedHat Academy Learning Platform.
===Materials===
*One Solid State Drive (SSD), minimum capacity 240GB, in a USB3 Enclosure.
==Investigation 1: Installing Preparing OpenShift==*Install OpenShift on one VM**Note: The requirements for this change regularly, therefore we are going to link to a currenly functioning external set Complete the guided exercise at the end of instructionschapter 1 in the DO180 student guide. This may change from semester It will link your OpenShift installation to semesteryour docker and quay.io accounts.
==Investigation 2: Deploying a containerized Service in OpenShift==
*Perform all of Complete the lab at the following steps using only one end of chapter 6 in the GUI or the command lineDO180 student guide.*Create Take a new project called screenshot of you running the 'ops635''lab openshift-<yourname>review grade'''.*Use it to deploy a service using the container image command (showing you published in the docker labhave passed all checks).*Ensure that you can reach the service from outside your VM.==Investigation 3: Learning the other interfaceDeploying Multi-Container Services in OpenShift==*Repeat Complete the steps from investigation 2, but using lab at the interface you did not use (eend of chapter 7 in the DO180 student guide.g. if Take a screenshot of you used the GUI in investigation 2, repeat those steps on running the '''lab multicontainer-review grade''' command line(showing you have passed all checks).
==Submission==
# Demonstrate Upload your service working in class.# Export your deployment configuration and upload it screenshots to Blackboardthe OpenShift lab submission on blackboard.