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Red Hat Advanced Cluster Management for Kubernetes (DO342)

Course Description Multicluster Management with Red Hat Advanced Cluster Management for Kubernetes (RHACM) teaches the required skills to manage a fleet of containerized applications and Kubernetes clusters, by automating compliance with security, ...

3 Days

9:00 - 17:00

Eng

CZ

Course Dates

Date
Availability
Form
Language
Cena
Location
Date
Open term
Didn’t find a suitable course date? Register and let us know your preferred date!
Availability
Non-Guaranteed
Form
Language
Cena
1905.00 EUR
Location
Prague / Bratislava
Date
RHLS Course
An annual subscription that combines self-paced learning, 100 labs, one live virtual instructor-led session, and a certification exam.
Availability
Guaranteed
Form
Language
Cena
1905.00 EUR
Location
Online
Date
01/06/2026 | 09:00 - 17:00
Virtual course led by a live instructor via video conference from the comfort of your home
Availability
Non-Guaranteed
Form
Language
Cena
1905.00 EUR
Location
Online
Date
08/06/2026 | 09:00 - 17:00
Classroom course led by a live instructor
Availability
Non-Guaranteed
Form
Language
Cena
1905.00 EUR
Location
Prague 2, Czech Republic
Date
07/12/2026 | 09:00 - 17:00
Virtual course led by a live instructor via video conference from the comfort of your home
Availability
Non-Guaranteed
Form
Language
Cena
1905.00 EUR
Location
Online
Date
14/12/2026 | 09:00 - 17:00
Classroom course led by a live instructor
Availability
Non-Guaranteed
Form
Language
Cena
1905.00 EUR
Location
Prague 2, Czech Republic

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Course Description

Multicluster Management with Red Hat Advanced Cluster Management for Kubernetes (RHACM) teaches the required skills to manage a fleet of containerized applications and Kubernetes clusters, by automating compliance with security, governance, and other organization policies, and by implementing GitOps practices. 

Course summary

  • Describe and implement the RHACM architecture and its components, and follow recommended practices for its installation.
  • Import and manage a cluster by using the RHACM web console, configure user access to clusters, and troubleshoot common import issues.
  • Deploy and manage policies in a multicluster environment by using RHACM governance.
  • Monitor a fleet of managed clusters and troubleshoot performance and availability issues by using RHACM observability components.
  • Deploy and manage applications in a multicluster environment by using RHACM and GitOps.
  • Deploy and manage virtual machines in a multicluster environment by using RHACM and GitOps.

 

Outline for this course

  • Installing Red Hat Advanced Cluster Management for Kubernetes
    • Describe and implement the RHACM architecture and its components, and follow recommended practices for its installation.
  • Managing Clusters by Using Red Hat Advanced Cluster Management for Kubernetes
    • Import and manage a cluster by using the RHACM web console, configure user access to clusters, and troubleshoot common import issues.
  • Deploying and Managing Policies for Multiple Clusters with Red Hat Advanced Cluster Management for Kubernetes
    • Deploy and manage policies in a multicluster environment by using RHACM governance.
  • Enabling and Customizing the Red Hat Advanced Cluster Management for Kubernetes Observability Stack
    • Monitor a fleet of managed clusters and troubleshoot performance and availability issues by using RHACM observability components.
  • Managing the Multicluster Application Lifecycle by Using GitOps Practices and Red Hat Advanced Cluster Management for Kubernetes
    • Deploy and manage applications in a multicluster environment by using RHACM and GitOps.
  • Managing Virtual Machines for Multiple Clusters with Red Hat Advanced Cluster Management for Kubernetes
    • Deploy and manage virtual machines in a multicluster environment by using RHACM and GitOps.

Audience & Prerequisites

Audience for this course

  • IT Operations personnel who are responsible for managing the lifecycle and monitoring the usage of multiple clusters.
  • DevOps and Site Reliability Engineers who are responsible for monitoring the health of clusters and Kubernetes deployments and for maximizing their uptime. These individuals also automate the provisioning or deprovisioning of clusters and the workload placement based on capacity and policy.
  • Security Operations personnel who are responsible for ensuring that Kubernetes deployments comply with regulatory and organizational standards. These individuals create security policies across diverse environments and ensure enforcement.

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