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Deploying and Managing Windows Workloads on Google Cloud

This instructor led live training teaches you about deploying and managing Microsoft Windows® workloads on Google Cloud. This course uses lectures and hands-on labs to show you how to plan and configure Microsoft Windows Server and Microsoft SQL Server in Google Cloud. You will configure identity solutions including Managed Service for Microsoft Active Directory, deploy Windows workloads to Compute Engine and Google Kubernetes Engine, and learn to manage and operate Windows workloads with Cloud Console, Cloud Logging, and Cloud Monitoring.

What you Will learn

What's Included?

Instructor Live Training

An instructor will answer your questions

OFFICIAL GOOGLE CLOUD CONTENT

Course content reflects the latest google cloud class

hands on labs

Real world hands on labs provided by Qwiklabs and supported by instructor

CertIficate of completion

Receive official certificate on completion of 80% of labs

Who's this course for?

Level

Language

Duration

Prerequisites

products

Course Content

Topics

  • Overview of Google Cloud
  • Options for Windows Workloads
  • Windows Licencing in Google Cloud

Objectives

  • Define cloud computing
  • Identify Google Cloud’s compute services
  • Understand regions and zones
  • Recognize the challenges of designing and building multi-environment solutions
  • Understand the options of Windows Licensing

Activities

  • 3-5 assessment questions

Topics

  • Overview of Cloud Identity
  • Cloud Directory Sync
  • Authentication Best Practices

Objectives

  • Define Identity and Access Governance
  • Identify options for Identity and Access Governance when running Windows
    workloads in Google Cloud
  • Deploy Microsoft Active Directory with Compute Engine

Activities

  • Lab: Deploying a Fault-Tolerant Microsoft Active Directory Environment
  • 3-5 assessment questions

Topics

  • Migration types
  • Choosing VMs to migrate
  • Migrate for Compute Engine
  • Migration Waves
  • SQL Server on GCE
  • HA for SQL Server

Objectives

  • Identify the different migration types
  • Understand the migration process
  • Choose application workloads for initial deployments in Google Cloud
  • Describe procedure for migrating many VMs
  • Migrate a Microsoft VM to Compute Engine with licenses provided by Google
  • Review options for security, high availability, and disaster recovery

Activities

  • Demo: Migrating a Windows VM to Compute Engine
  • 3-5 assessment questions

Topics

  • Infrastructure as code
  • Terraform
  • Cloud Marketplace

Objectives

  • Understand the concept of Infrastructure as Code
  • Use Terraform to define a declarative infrastructure to deploy
  • Define the steps in deploying a Terraform specification
  • Automate the deployment of a simple Windows based infrastructure

Activities

  • Lab: Automating the creation of a Windows Server VM with Terraform
  • 3-5 assessment questions

Topics

  • Custom machines
  • Premium images
  • Patch management
  • Sole tenants
  • SQL Server on Linux

Objectives

  • Optimize application machine types with Custom VMs
  • Understand the process of patch management on Windows based VMs
  • Optimize usage with Suspend/Resume of VM instances
  • Understand how to take advantage of BYOL
  • Describe the process of creating a Sole Tenant node
  • Compare costs options running SQL Server on Compute Engine
  • Deploy VM with a premium image and patch management

Activities

  • Lab: Deploying Windows Applications with Premium Images
  • 3-5 assessment questions

Topics

  • Introduction to Cloud SQL
  • Deploying SQL Server on Cloud SQL
  • Maintenance and backups on Cloud SQL
  • Managed Service for Microsoft Active Directory

Objectives

  • Explain the advantages of Managed Services
  • Contrast running SQL Server on Compute Engine and Cloud SQL
  • Customize Cloud SQL Maintenance options
  • Differentiate running Active Directory on Compute Engine and Managed Microsoft AD
  • Deploy SQL Server on Cloud SQL with High Availability and Backup Options

Activities

  • Lab: Deploying SQL Server Workloads on Cloud SQL
  • 3-5 assessment questions

Topics

  • Introduction to containers
  • Windows containers on GCE
  • Introduction to GKE
  • Creating a GKE cluster with Windows nodes
  • Migrate for Anthos

Objectives

  • Understand a container-based approach to workloads
  • Describe how to run Windows containers on Compute Engine
  • Explain how Google Kubernetes Engine (GKE) Clusters supports Windows Nodes
  • Understand Automation, Maintenance and Networking Options for Windows Nodes
    on GKE
  • Explain the process of migrating a Windows Application to a Container
  • Deploy Google Kubernetes Engine (GKE) Clusters running a Windows Workload

Activities

  • Lab: Containerize a Windows Application
  • 3-5 assessment questions

Topics

  • Introduction to Operations Suite
  • Introduction to Monitoring
  • Compute Engine monitoring
  • Cloud SQL monitoring
  • GKE monitoring
  • Introduction to Logging

Objectives

  • Understand Cloud Monitoring and Cloud Logging and learn how to install Cloud
    Monitoring and Cloud Logging agents
  • Understand and apply Cloud Monitoring and Cloud Logging to a project
  • Manage Monitoring and Alerting for Windows Nodes, Workloads, and SQL Databases
  • Configure and Use Cloud Monitoring and Logging on Windows workloads

Activities

  • Lab: Configuring and Using Cloud Logging and Monitoring
  • 3-5 assessment questions

Objectives

  • Summary and Review.
  • What’s Next?

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Upcoming Schedule

Ref: T-KUBGKE-I-01