Deploy and administer Linux virtual machines on Azure Training in Germany

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 1 Day
  • Level: Intermediate
  • Price: Please contact for booking options

This training provides a practical and comprehensive introduction to deploying and managing Linux virtual machines (VMs) on Microsoft Azure.

Through nine structured modules, participants will learn how to create, configure, monitor, and maintain Linux-based environments using Azure tools and services.

The course covers key topics such as Azure CLI automation, VM configuration, monitoring solutions, backup strategies, and identity management. With a strong hands-on focus, the training prepares participants to efficiently manage Linux workloads within Azure cloud environments.

We can organize this training at your preferred date and location. Contact Us!

Prerequisites

Participants should ideally have:

  • Experience using the Azure Portal and Azure CLI

  • Knowledge of identity management and Role-Based Access Control (RBAC)

  • Familiarity with Linux server administration

  • Basic understanding of Azure virtual machine management

Who Should Attend

This course is suitable for professionals such as:

  • System administrators responsible for deploying and maintaining virtual machines

  • Cloud administrators working with Linux-based cloud infrastructure

  • IT professionals looking to expand their Azure expertise with Linux VM management

What You Will Learn

By the end of this course, participants will be able to:

  • Deploy and configure Linux virtual machines on Azure

  • Monitor and scale Linux VMs using Azure monitoring tools

  • Implement security practices including managed identities and RBAC

  • Automate administrative tasks using Azure CLI

  • Integrate services such as Azure Backup and Azure Monitor for VM management

Training Outline

Introduction to Linux on Azure

  • Overview of Azure services for Linux environments

  • Understanding IaaS and PaaS solutions for Linux workloads

Provisioning Linux Virtual Machines

  • Creating Linux VMs using Azure CLI

  • Infrastructure automation with Terraform and Bicep

  • VM sizing and scaling best practices

Configuring Virtual Machines

  • Storage and networking configuration

  • Secure SSH access setup

  • VM resizing and vertical scaling techniques

Monitoring with Azure Monitor

  • Collecting performance metrics

  • Configuring Azure Monitor dashboards

  • Creating alerts and automated monitoring workflows

Backing Up VMs with Azure Backup

  • Configuring backup policies for Linux VMs

  • Disaster recovery planning

  • Restoring virtual machines from backups

Managing VMs with Azure CLI

  • Starting, stopping, and resizing VMs

  • Automating administration tasks with CLI commands

Identity and Role Management

  • Securing VMs with managed identities

  • Implementing role-based access control

  • Assigning Azure roles for secure access management

Azure Files and File Sync Integration

  • Mounting Azure Files within Linux virtual machines

  • Managing shared storage across environments

  • Synchronizing files with Azure File Sync

VM Scaling and Performance Optimization

  • Identifying performance bottlenecks

  • Troubleshooting VM performance issues

  • Implementing vertical scaling strategies in Azure



Contact us for more detail about our trainings and for all other enquiries!

Avaible Training Dates

Join our public courses in our Germany facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

We can organize this training at your preferred date and location.
15 März 2026 (1 Day)
Berlin, Hamburg, Münih
13 April 2026 (1 Day)
Berlin, Hamburg, Münih
13 Mai 2026 (1 Day)
Berlin, Hamburg, Münih
19 Mai 2026 (1 Day)
Berlin, Hamburg, Münih
05 Juni 2026 (1 Day)
Berlin, Hamburg, Münih
25 Juni 2026 (1 Day)
Berlin, Hamburg, Münih
09 Juli 2026 (1 Day)
Berlin, Hamburg, Münih
22 August 2026 (1 Day)
Berlin, Hamburg, Münih
By using this website you agree to let us use cookies. For further information about our use of cookies, check out our Cookie Policy.