Introduction to Red Hat OpenShift Service on AWS (ROSA)
Introduction to Red Hat OpenShift Service on AWS (ROSA)
Deploy a public cluster for experimentation and provision projects for development teams to work within. Perform day-to-day operation of ROSA clusters and support application teams that use those clusters.
Course Objectives
Create public ROSA clusters.
Configure Identity Management with GitHub.
Configure projects with quotas, ranges, role bindings, and network policies for application teams.
Configure declarative management of projects with quotas, ranges, role bindings, and network policies by using Red Hat OpenShift GitOps.
Upgrade ROSA clusters.
Clean up AWS resources from deleted ROSA clusters.
Audience
Platform Engineers
Cloud Administrators
System Administrators
Other infrastructure-related IT roles who are responsible for providing and supporting infrastructure for applications that are deployed on AWS
Enterprise Architects
Site Reliability Engineers
Other application-related IT roles who are responsible for designing infrastructure for applications that are deployed on AWS
Prerequisites
AWS administration at the AWS Certified Cloud Practitioner Foundational level, or equivalent experience.
Basic knowledge of OpenShift from DO080 - Containers, Kubernetes, and Red Hat OpenShift Technical Overview.
Learners with little or no previous experience with OpenShift and Kubernetes are encouraged to acquire fundamental skills by using the Developer Sandbox for Red Hat OpenShift.
It is recommended that learners also enroll in the Red Hat Certified OpenShift Administration certification courses in addition to taking CS120.
Lab Controls
Click Create to build all of the virtual machines needed for the classroom lab environment. This may take several minutes to complete. Once created the environment can then be stopped and restarted to pause your experience.
When a lab is created, click Start to run all of the virtual machines in the classroom.
Click Stop to stop all the virtual machines from running. This will not delete your lab.
If you Delete your lab, you will remove all of the virtual machines in your classroom and lose all of your progress.
Virtual machine actions
Click Start to power on the virtual machine.
Click Shutdown to gracefully shut down the virtual machine, preserving disk contents.
Click Power off to forcefully shut down the virtual machine, while still preserving disk contents.
Click Open console to connect to the system console of the virtual machine in a new browser.
Auto-stop timer
The Red Hat Learning Subscription entitles you to set allotment of lab time.
To help conserving your allotted time, the lab environment uses automatic timers to stop or destroy your lab environment when the timer expires.
Click the Auto-stop button [+] to extend the time you would like to spend with the labs.
Click the Auto-destroy button [+] to add day(s) to the auto-destroy timer.
Auto-stop has a maximum of 11 hours, and auto-destroy has a maximum of 14 days.
Be careful to keep the timers set while you are working, so that your environment doesn't shut down unexpectedly.
We also suggest not to set the auto-timers unnecessarily high, which could waste your lab time allotment