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Description

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Overview:

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.

Prerequisites:

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

  • Have completed Google Cloud Fundamentals: Core Infrastructure (GCF-CI) 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

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

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 – 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

Module 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

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 Terraform
  • Outline the Google Cloud Marketplace

Module 11 – Managed Services

  • Describe the managed services for data processing in Google Cloud

Additional information

Length

3 days

Guaranteed to run

No