Architecting with Google Compute Engine

The best course to master the infrastructure and platform services provided by Google Cloud, with a focus on Compute Engine

GCP200AGCE v2.1
3 days (21 hours)

Course overview

This three-day instructor-led class introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud, with a focus on Compute Engine.

Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems, and application services.

This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.

Learning outcomes

This course teaches participants the following skills:

  • Configure VPC networks and virtual machines
  • Administer Identity and Access Management for resources
  • Implement data storage services in Google Cloud
  • Manage and examine billing of Google Cloud resources
  • Monitor resources using Google Cloud services
  • Connect your infrastructure to Google Cloud
  • Configure load balancers and autoscaling for VM instances
  • Automate the deployment of Google Cloud infrastructure services
  • Leverage managed services in Google Cloud

Prerequisites

To get the most out of this course, participants should have:

  • Have completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience
  • Have basic proficiency with command-line tools and Linux operating system environments
  • Have systems operations experience, including deploying and managing applications, either on-premises or in a public cloud environment

Target audience

This course is intended for the following participants:

  • Cloud Solutions Architects, DevOps Engineers
  • Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure, with a focus on Compute Engine

Course Outline

Module 1: Introduction to Google Cloud

  • List the different ways of interacting with Google Cloud
  • Use the Cloud Console and Cloud Shell
  • Create Cloud Storage buckets
  • Use the Google Cloud Marketplace to deploy solutions

Module 2: Virtual Networks

  • List the VPC objects 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

  • Recall the CPU and memory options for virtual machines
  • Describe the disk options for virtual machines
  • Explain VM pricing and discounts
  • Use Compute Engine to create and customize VM instances

Module 4: Cloud IAM

  • Describe the Cloud IAM resource hierarchy
  • Explain the different types of IAM roles
  • Recall the different types of IAM members
  • Implement access control for resources using Cloud IAM

Module 5: Storage and Database Services

  • Differentiate between Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Firestore and Cloud Bigtable
  • Choose a data storage service based on your requirements
  • Implement data storage services

Module 6: Resource Management

  • Describe the cloud resource manager hierarchy
  • Recognize how quotas protect Google Cloud customers
  • Use labels to organize resources
  • Explain the behavior of budget alerts in Google Cloud
  • Examine billing data with BigQuery

Module 7: Resource Monitoring

  • Describe the services for monitoring, logging, error reporting, tracing, and debugging
  • Create charts, alerts, and uptime checks for resources with Cloud Monitoring
  • Use Cloud Debugger to identify and fix errors

Module 8: Interconnecting Networks

  • Recall the Google Cloud interconnect and peering services available to connect your infrastructure to Google Cloud
  • Determine which Google Cloud interconnect or peering service to use in specific circumstances
  • Create and configure VPN gateways
  • Recall when to use Shared VPC and when to use VPC Network Peering

Module 9: Load Balancing and Autoscaling

  • Recall the various load balancing services
  • Determine which Google Cloud load balancer to use in specific circumstances
  • Describe autoscaling behavior
  • Configure load balancers and autoscaling

Module 10: Infrastructure Automation

  • Automate the deployment of Google Cloud services using Deployment Manager or Terraform
  • Outline the Google Cloud Marketplace

Module 11: Managed Services

  • Describe the managed services for data processing in Google Cloud

€2100 ex. VAT

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