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Architecting with Google Compute Engine

This three-day course introduces participants to the full range of platform and infrastructure services provided by Google Cloud Platform, with a focus on Compute Engine.

Through a series of presentations, demonstrations and hands-on exercises, participants explore and deploy infrastructure components including networks, systems, and applications. The course also covers the exploration of practical cases such as the implementation of secure network interconnection, the use of encryption keys, security and access management, quotas and billing, and resource monitoring.

  • Duration: 3 days
  • Format: Face-to-face or distance learning
  • Prerequisites: Completion of the Google Cloud Fundamentals course or equivalent experience, basic skills with command line tools and the Linux environment, experience in system administration, deployment and management of applications in a cloud or on-premises environment.
  • Audience: Cloud architects, cloud engineers, SysOps/DevOps administrators and engineers, site reliability engineers, IT managers.
  • Price: Please contact us.
  • More information in our training catalogue

The course in detail

Module 1: Introduction to Google Cloud

  • Browse the different ways to interact with Google Cloud.
  • Learn how to use the Cloud Console and Cloud Shell.
  • Create cloud storage spaces.
  • Use Google Cloud Marketplace to deploy solutions.

 

Module 2: Virtual networks

  • Gain an overview of VPC concepts in Google Cloud.
  • Differentiate between the different types of VPC networks.
  • Implement VPC networks and firewall rules.
  • Implement Private Google Access and Cloud NAT.

 

Module 3: Virtual machines

  • Revise the CPU and memory options for virtual machines.
  • Describe the disk options for virtual machines.
  • Learn about VM prices and discounts.
  • Utiliser Compute Engine pour créer et personnaliser des instances de machine virtuelle.

 

Module 4: CloudIAM

  • Describe the hierarchy of Cloud IAM resources.
  • Learn about the different types of IAM roles.
  • Discuss the different types of IAM members.
  • Implement access control to resources using Cloud IAM.

 

Module 5: Data storage services

  • Differentiate between Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Firestore and Cloud Bigtable.
  • Choose a data storage service according to your needs.
  • Implement data storage services.

 

Module 6: Resource management

  • Understand the hierarchy of the Cloud Resource Manager.
  • Recognise how quotas protect Google Cloud customers.
  • Use labels to organise resources.
  • Explain the behaviour of budget alerts in Google Cloud.
  • Examine billing data with BigQuery.

 

Module 7: Resource monitoring

  • Understand the available monitoring, logging, error reporting, tracing and debugging services.
  • Create charts, alerts and resource availability checks with Cloud Monitoring.
  • Use Cloud Debugger to identify and correct errors.

 

Module 8: Interconnection of networks

  • Discover the Google Cloud interconnection and peering services available to connect your infrastructure to Google Cloud.
  • Determine which interconnection or Google Cloud peering service to use in specific circumstances.
  • Create and configure VPN tunnels.
  • Discuss when to use shared VPC and when to use VPC peering.

 

Module 9: Load Balancing and Autoscaling

  • Discover the different load balancing services.
  • Determine which Google Cloud load balancer to use in specific circumstances.
  • Learn how autoscaling works.
  • Configure load balancers and autoscaling.

 

Module 10: Modernising infrastructures

  • Automate the deployment of Google Cloud services using Deployment Manager or Terraform.
  • Learn about Google Cloud Marketplace.

 

Module 11: Managed services

  • Find out more about managed services for data processing in the Google Cloud.

 

 

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