Trophy Arki1, Google Cloud Authorized Training Partner of the years 2019 & 2020 in Latin America

Architecting with Google Compute Engine

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

In this course, participants will learn 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.

Audience

This class is aimed at the following audience:

  • 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.

Pre-requisites

To fully benefit from this course, participants must comply with the following criteria:

  • Have completed Google Cloud Platform Fundamentals 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.

Duration

3 days

Investment

Check the next open public class in our enrollment page.
If you are interested in a private training class for your company, contact us.
Architecting with Google Compute Engine dependencies with other courses and certifications
Architecting with Google Compute Engine dependencies with other courses and certifications

Course outline

The course includes presentations, demonstrations, and hands-on labs.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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
  • 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.
  • 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.
  • Automate the deployment of Google Cloud services using Terraform.
  • Outline the Google Cloud Marketplace.
  • Describe the managed services for data processing in Google Cloud.