Managing Virtual Machines with Red Hat OpenShift Virtualization (DO316)

 

Quién debería asistir

  • 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.

Prerrequisitos

Objetivos del curso

Impact on the organization

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.

Impact on the individual

IT professionals will learn to deploy and manage virtualized workloads on OpenShift and manage these workloads using both traditional ways, such as SSH and Ansible, and also modern DevOps practices, such as GitOps and CI/CD

Contenido del curso

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.

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).
  • Connect VMs to host storage and external storage.
  • Ansible management of VMs.
  • Create VMs from VM Templates.

Precios & Delivery methods

Entrenamiento en línea

Duración
4 días

Precio
  • Consulta precio y disponibilidad
Classroom training

Duración
3 días

Precio
  • Consulta precio y disponibilidad

Click on town name or "Online Training" to book Calendario

Instructor-led Online Training:   Este es un curso en línea Guiado por un Instructor

Alemania

Entrenamiento en línea Zona Horaria: Europe/Berlin Este curso será presentado por un socio Inscripción
Entrenamiento en línea Zona Horaria: Europe/Berlin Este curso será presentado por un socio Inscripción

Polonia

Entrenamiento en línea Zona Horaria: Europe/Warsaw Este curso será presentado por un socio Inscripción
Entrenamiento en línea Zona Horaria: Europe/Warsaw Este curso será presentado por un socio Inscripción
Entrenamiento en línea Zona Horaria: Europe/Warsaw Este curso será presentado por un socio Inscripción
Entrenamiento en línea Zona Horaria: Europe/Warsaw Este curso será presentado por un socio Inscripción

Reino Unido

Virtual 4 días Este curso será presentado por un socio Inscripción
Virtual 4 días Este curso será presentado por un socio Inscripción