Programming & Development

Architecting with Google Compute Engine

Introduction:

This course will familiarize you with Google Cloud’s flexible infrastructure and platform services, with a specific focus on Compute Engine. This course uses a combination of lectures, demos, and hands-on labs to explore and deploy solution elements, including infrastructure components like networks, systems, and application services. You’ll also learn how to deploy practical solutions such as hybrid networking, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.

Objectives:

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

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

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

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

4 – Identity and Access Management (IAM)

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

5 – Storage and Database Services

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

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

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

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

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

10 – Infrastructure Automation

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

11 – Managed Services

  • Describe the managed services for data processing in Google Cloud

Course Outline:

Enroll in this course

$1,995.00

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