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Managing Virtual Machines with Red Hat OpenShift Virtualization with Exam

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90 Days
RHT-DO317SP
Self-Paced Training
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Course Description

Overview

OpenShift Virtualization allows organizations to realize operational savings by managing virtualized workloads and containerized workloads together using the same orchestration and clustering infrastructure provided by Red Hat OpenShift.
Deploying Virtual Machines (VMs) on OpenShift also eases integration of traditional server-based applications with more modern cloud-native applications and their supporting practices such as CI/CD, DevOps, and SRE to take advantage of quicker time-to-market and other benefits from these practices, without having to first redesign virtualized workloads as container-native workloads.

Course Description
Create and manage virtual machines on OpenShift using the Red Hat OpenShift Virtualization operator.

Managing Virtual Machines with OpenShift Virtualization with exam teaches the essential skills required to create and manage virtual machines (VM) on OpenShift using the Red Hat OpenShift Virtualization operator. This course does not require previous knowledge of containers and Kubernetes. The Red Hat Certified Specialist in OpenShift Virtualization (EX316) is included in this offering.

This course provides:
  • Skills required to create, access, and manage VMs on OpenShift clusters
  • Skills required to control usage and access of cpu, memory, storage, and networking resources from VMs using the same Kubernetes features that would also control usage and access to these resources for containers
  • Sample architectures to manage High Availability (HA) of VMs using standard Kubernetes features and extensions from OpenShift Virtualization
  • Strategies to connect VMs on OpenShift to data center services outside of their OpenShift cluster, such as storage and databases

Objectives

IT professionals will learn to deploy and manage virtualized workloads on OpenShift Course Content Summary
  • Create VMs from installation media and disk images
  • Access text and graphical consoles of a VM
  • Connect to VMs using Kubernetes networking (services, ingress, and routes)
  • Provision storage to VMs using Kubernetes storage (PVC, PV, and storage classes)
  • Start, pause, and stop VMs
  • Clone and snapshot VMs
  • Connect VMs to external and extra networks (outside of the Kubernetes pod and service networks)
  • Provision load balancer services for VMs and then use the services to enable SSH access to VMs
  • Connect VMs to host storage and external storage
  • Create VMs from VM Templates
  • Migrate VMs from compatible hypervisors

Audience

  • Virtual Machine Administrators interested in moving virtualized workloads from traditional Hypervisors to OpenShift Virtualization
  • Kubernetes Administrators (Cluster Administrators, Clusters Engineers) interested in supporting containerized and virtualized workloads in the same OpenShift cluster
  • Site Reliability Engineers interested in using GitOps and Ansible Automation to manage Virtual Machines on OpenShift

Prerequisites

    Recommended training
    • Take our free assessment to gauge whether this offering is the best fit for your skills.
    • Red Hat OpenShift Administration I: Operating a Production Cluster (DO180) is recommended but not required.
    Technology considerations
    • All deliveries require access to ROLE for the remote classroom environment. There is no local ILT version of the DO316 classroom.

Topics

Introduction to OpenShift Virtualization
  • Describe the features and use cases of OpenShift Virtualization.
Run and access Virtual Machines
  • Create, manage, inspect, and monitor virtual machines in Red Hat OpenShift Virtualization.
Configure Kubernetes network for Virtual Machines
  • Configure standard Kubernetes network objects and external access for VMs and virtual machine-backed applications.
Connect Virtual Machines to external networks
  • Configure node networking to connect virtual machines and nodes to networks outside the cluster.
Configure Kubernetes storage for Virtual Machines
  • Manage storage and disks for VMs in Red Hat OpenShift.
Virtual Machine template management
  • Create and manage templates to provision virtual machines.
Advanced Virtual Machine management
  • Import, export, snapshot, clone, and live migrate a virtual machine and initiate node maintenance.
Configure Kubernetes high availability for Virtual Machines
  • Configure Kubernetes resources to implement high availability for virtual machines.
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Self-Paced Training Info

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  • Same in-demand topics as instructor-led public and private classes.
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Self-Paced Training Terms & Conditions

ONCE YOU ARE ENROLLED IN THIS COURSE YOU WILL NOT BE ABLE TO CANCEL YOUR ENROLLMENT. You are billed for the course when you submit the enrollment form. Self-Paced Virtual Classes are non-refundable. Once you purchase a Self-Paced Virtual Class, you will be charged the full price.

This is a Red Hat Self-paced subscription; it is intended for students who do not need the support of a classroom instructor. If you feel you would better benefit from having access to a Subject Matter Expert, please check to see if an Instructor-Led version is available.

  • Students will receive an access code within 1-3 business days.
  • Students have access to the course 24/7 and will need to read and follow all instructions carefully to complete the course successfully within their allotted time.

The Term of a Self-paced Subscription is ninety (90) days from the start date selected at the time of order. While Client may not reschedule the start date of a Self-paced subscription, the start date may be scheduled up to ninety (90) days after the effective date of purchase, if agreed in writing.

Interruption of service shall not be cause to modify the Term of the subscription. Any adjustment to the Term of the subscription will be at the sole discretion of Red Hat.

Right of cancellation by Red Hat: If the Named Participant or Client violates the terms of use of a Self-paced subscription, such as by allowing multiple users access to a single Named Participant’s materials, Red Hat may cancel a Self-paced subscription, prior to its expiration, without refund.

Self-paced Subscription Renewals: A Self-paced Subscription may be renewed, upon mutual agreement of the Client and Red Hat, for successive ninety (90) day Terms. Renewal of the Subscription will be at the list price for the Subscription, at the time of renewal, unless otherwise approved by Red Hat or a Red Hat Authorized Reseller Partner.

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