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Managing Virtual Machines with Red Hat OpenShift Virtualization
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 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.
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.
Following course completion, you will receive a 45-day extended access to hands-on labs for any course that includes a virtual environment.
Note: This course is offered as a four day virtual class or self-paced. Durations may vary based on the delivery.
Objectives
- 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).
- Connect VMs to host storage and external storage.
- Ansible management of VMs.
- Create VMs from VM Templates.
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
- Take our free assessment to gauge whether this offering is the best fit for your skills.
- Red Hat OpenShift I: Containers & Kubernetes (DO180) and is recommended but not required.
Topics
- Describe the features and use cases of OpenShift Virtualization.
- Create, manage, inspect, and monitor virtual machines in Red Hat OpenShift Virtualization.
- Configure standard Kubernetes network objects and external access for VMs and virtual machine-backed applications.
- Configure node networking to connect virtual machines and nodes to networks outside the cluster.
- Manage storage and disks for VMs in Red Hat OpenShift.
- Create and manage templates to provision virtual machines.
- Snapshot, clone, and live migrate a virtual machine and initiate node maintenance.
- Configure Kubernetes resources to implement high availability for virtual machines.
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Self-Paced Training Info
Learn at your own pace with anytime, anywhere training
- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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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.
Exam Terms & Conditions
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