CS220 Creating production-grade OpenShift clusters Course
CS220 Creating and Configuring Production ROSA Clusters Certification Training
CS220 is designed to equip participants with practical skills to deploy and manage Red Hat OpenShift Service on AWS (ROSA) in a production-focused environment.
The course introduces key concepts in setting up scalable and resilient ROSA clusters, with a focus on networking, identity management, access control, and security best practices.
Learners will engage with guided, hands-on activities to explore cluster configuration, integration with IAM roles, monitoring, scaling, and basic troubleshooting techniques aimed at supporting stable and efficient ROSA operations.
This course CS220 is delivered by experienced trainers and is available in both in-person and live virtual formats, offering flexible learning options to suit different preferences and schedules.
Training is available across Melbourne, Sydney, Brisbane, Adelaide, Canberra, Perth, Hobart, and other locations throughout Australia — including nationwide live virtual delivery.
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ROSA basics – Experience creating and accessing a public ROSA cluster (e.g., CS120 or equivalent).
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AWS skills – Familiarity with AWS infrastructure (SysOps or Solutions Architect level).
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OpenShift knowledge – Basic understanding of OpenShift and containers (e.g., DO080 or similar).
There is no certification exam associated with this course.
Creating and Configuring Production ROSA Clusters course material provided
- Understand how to deploy and configure Red Hat OpenShift Service on AWS (ROSA) clusters
- Gain familiarity with managing authentication using AWS IAM and OpenShift identity providers
- Learn key concepts of configuring networking for secure and efficient cluster communication
- Explore security best practices applicable to ROSA clusters
- Develop an understanding of cluster scaling and resource allocation techniques
- Acquire basic skills in monitoring and troubleshooting cluster performance and issues
- Learn how to integrate AWS services with OpenShift workloads
- Get introduced to automation of deployments using OpenShift tools and CI/CD pipelines
- Cloud administrators managing OpenShift on AWS
- DevOps engineers deploying containerized applications
- System administrators handling OpenShift security and scaling
- Developers who need to configure and optimize ROSA clusters
Introduction to ROSA
- Overview of Red Hat OpenShift Service on AWS
- Benefits and use cases
Cluster Deployment
- Setting up a ROSA cluster
- AWS prerequisites and configuration
Authentication and Access Control
- Configuring AWS IAM roles
- Managing OpenShift identity providers
Networking and Security
- Securing cluster communication
- Configuring VPC, subnets, and firewall rules
Scaling and Resource Management
- Configuring auto-scaling for workloads
- Managing compute resources efficiently
Monitoring and Troubleshooting
- Using logging and monitoring tools
- Diagnosing and resolving common issues
CI/CD and Automation
Implementing DevOps pipelines
Automating deployments with OpenShift tools
- DO710 Red Hat Ansible Automation Platform Boot Camp Course
- DO700 Container Adoption Boot Camp Course for Administrators
- DO458: Network Automation with Red Hat Ansible Course
- AD440: Red Hat AMQ Administration Course
- DO180: Red Hat OpenShift I: Containers & Kubernetes
- RH124: Red Hat System Administration I Course
- RH134: Red Hat System Administration II Course
- RH199: RHCSA Rapid Track course
- RH254: Red Hat System Administration III Course
Get a Certificate of Attendance to prove your commitment to learning
This training course does not have any exam associated with it
Course material in digital format is included for flexibility and ease of use
Practise questions are provided for better understanding of the key concepts
Attend the course with an instructor at our training centre or from anywhere
Relax, we will beat competitor’s advertised price. Our course has no extra costs
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The supply of this course/package/program is governed by our terms and conditions. Please read them carefully before enrolling, as enrolment is conditional on acceptance of these terms and conditions. Proposed course dates are given, course runs subject to availability and minimum registrations.
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