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Creating and Configuring Production ROSA Clusters (CS220)

Instructor‑Led: $2,350 | Duration: 3 Days

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    Course Highlights

    LEVEL: 
    • Intermediate
    TOPICS & JOB ROLES: 
    BRANDS/TECHNOLOGIES: 

    Creating and Configuring Production ROSA Clusters (CS220) Course Outline

    Create and configure production-grade ROSA clusters as part of a larger AWS customer?s footprint.

    Creating and Configuring Production ROSA Clusters (CS220) teaches how to configure ROSA clusters as part of pre-existing AWS environments and how to integrate ROSA with AWS services commonly used by IT operations teams, such as Amazon CloudWatch.

    Who Should Attend this Course?
    • Platform Engineers, Cloud Administrators, System Administrators and other infrastructure-related IT roles who are responsible for providing and supporting infrastructure for applications deployed on AWS.
    • Enterprise Architects, Site Reliability Engineers, DevOps Engineers, and other application-related IT roles who are responsible for designing infrastructure for applications deployed on AWS
    PREREQUISITES
    • CS120 – Introduction to Red Hat OpenShift Service on AWS or equivalent experience: ?I know how to create and access a public ROSA cluster.?
    • AWS administration at the level of either AWS Certified SysOps Administrator – Associate or AWS Certified Solutions Architect – Associate, or equivalent experience: ?I know how to manage AWS infrastructure services.?

    1 – Private Red Hat OpenShift on AWS (ROSA) Clusters

    • Create a PrivateLink ROSA cluster with STS and enable developers or administrators to access the API and router endpoints of the cluster.

    2 – Node and Pod Autoscaling

    • Configure a ROSA cluster and a workload to dynamically scale the number of cluster nodes and application pods according to load.

    3 – Monitor ROSA Clusters with Amazon CloudWatch

    • Configure ROSA clusters to forward logs to Amazon CloudWatch for long-term storage, aggregation, and analysis, and to authenticate OpenShift users by using Amazon Cognito.

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