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Deploying and Managing Windows Workloads on Google Cloud

سرفصل های دوره

This course 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.


01. Introduction
  • 1. Course Introduction
  • 2. Getting Started with GCP and Qwiklabs

  • 02. Introducing Windows workloads on Google Cloud
  • 1. Module Introduction
  • 2. What is Cloud Computing
  • 3. Introduction to Google Cloud
  • 4. Resource hierarchy
  • 5. Billing
  • 6. Options for running Windows Workloads
  • 7. Windows Licensing
  • 8. Review

  • 03. Identity for Windows workloads
  • 1. Module Introduction
  • 2. Introduction to Cloud Identity
  • 3. Google Cloud Directory Sync
  • 4. Google authentication vs SSO
  • 5. Authentication Best Pracitces
  • 6. Lab Intro Deploying a Fault-Tolerant Microsoft Active Directory Environment
  • 7. Lab- Deploying a Fault-Tolerant Microsoft Active Directory Environment
  • 8. Review

  • 04. Migrating Windows Workload VMs
  • 01. Module Introduction
  • 02. Migration types
  • 03. The migration process
  • 04. Assess phase
  • 05. Choosing VMs to Migrate
  • 06. Migrate for Compute Engine
  • 07. Migrate phase
  • 08. Migration waves
  • 09. Demo- Migrating a Windows infrastructure to Compute Engine
  • 10. Demo- Migrating to Compute Engine
  • 11. SQL Server on Compute Engine
  • 12. Best Practices
  • 13. High Availability for SQL Server
  • 14. Review

  • 05. Automating Deployments of Windows Workloads
  • 1. Module Introduction
  • 2. Infrastructure as code
  • 3. Terraform
  • 4. Building a Terraform example
  • 5. Lab- Automating the deployment of Windows Server VMs with Terraform
  • 6. Lab- Automating the deployment of Windows Server VMs with Terraform
  • 7. Google Cloud Marketplace
  • 8. Review

  • 06. Review
  • 1. Course Review

  • 07. Optimizing costs for Windows Applications
  • 1. Module Introduction
  • 2. Custom Machines
  • 3. Premium Images
  • 4. Patch management
  • 5. Lab Intro- Deploying a VM with a Premium Image
  • 6. Lab- Deploying Windows Applications with Premium Images
  • 7. Sole Tenants
  • 8. SQL Server on Linux
  • 9. Review

  • 08. Modernizing with Managed Services
  • 1. Module Introduction
  • 2. Intro to Cloud SQL
  • 3. Deploying SQL Server on Cloud SQL
  • 4. Maintenance and backups on Cloud SQL
  • 5. Lab Intro - Deploying SQL Server Workloads on Cloud SQL
  • 6. Lab- Deploying SQL Server Workloads on Cloud SQL
  • 7. Managed Service for Microsoft Active Directory
  • 8. Review

  • 09. Modernizing with Containers
  • 1. Module Introduction
  • 2. Introduction to Containers
  • 3. Windows Containers on GCE
  • 4. Introduction to Google Kubernetes Engine
  • 5. Creating a GKE Cluster with Windows nodes
  • 6. Lab Intro- Containerize a Windows Application
  • 7. Lab- Containerize a Windows Application
  • 8. Migrate for Anthos
  • 9. Review

  • 10. Cloud Operations with Windows Workloads
  • 01. Module Introduction
  • 02. Introduction to Operations Suite
  • 03. Introduction to Monitoring
  • 04. Compute Engine Monitoring
  • 05. Cloud SQL Monitoring
  • 06. GKE Monitoring
  • 07. Introduction to Logging
  • 08. Lab Intro- Configuring and Using Cloud Logging and Monitoring
  • 09. Lab- Configure Logging and Monitoring Agents for an Enterprise Windows Application
  • 10. Review

  • 11. Review
  • 1. Course Review
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    تاریخ انتشار: 29 دی 1401
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