Architecting with Google Compute Engine


Course Number: GCP-122

Duration: 3 days (19.5 hours)

Format: Live, hands-on

Architecting with Google Compute Engine Training Overview

This Architecting with Google Compute Engine training course teaches attendees how to get the most out of the comprehensive and flexible infrastructure and platform services provided by Google Cloud, with a focus on Compute Engine. Students learn how to deploy solution elements, including infrastructure components such as networks, systems, and application services. In addition, they learn how to deploy practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.

Location and Pricing

This course is taught as a private, live online class for teams of 3 or more. All our courses are hands-on, instructor-led, and tailored to fit your group’s goals and needs. Most Accelebrate classes can be flexibly scheduled for your group, including delivery in half-day segments across a week or set of weeks. To receive a customized proposal and price quote for online corporate training, please contact us.

Objectives

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

Prerequisites

All students should have:

  • Completed the Google Cloud Fundamentals course or have equivalent experience
  • Basic proficiency with command-line tools and Linux operating system environments
  • Systems operations experience, including deploying and managing applications, either on-premises or in a public cloud environment

Outline

Expand All | Collapse All

Introduction to Google Cloud
  • 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
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
Virtual Machines
  • CPU and memory options for virtual machines
  • Disk options for virtual machines
  • VM pricing and discounts
  • Use Compute Engine to create and customize VM instances
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
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
Resource Management
  • The cloud resource manager hierarchy
  • How quotas protect Google Cloud customers
  • Use labels to organize resources
  • The behavior of budget alerts in Google Cloud
  • Billing data with BigQuery
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
Interconnecting Networks
  • 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
  • When to use Shared VPC and when to use VPC Network Peering
Load Balancing and Autoscaling
  • Load balancing services
  • Determine which Google Cloud load balancer to use in specific circumstances
  • Autoscaling behavior
  • Configure load balancers and autoscaling
Infrastructure Modernization
  • Automate the deployment of Google Cloud services using Deployment Manager or Terraform
  • Outline the Google Cloud Marketplace.
Managed Services
  • Managed services for data processing in Google Cloud
Conclusion

Training Materials:

All GCP training students receive comprehensive courseware.

Software Requirements:

Students must have a modern web browser (ideally Chrome) and Internet access.



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