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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...

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$2,700 USD GSA  $1,670.03
Course Code GCP-CE
Duration 3 days
Available Formats Classroom, Virtual

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.

Skills Gained

  • Interact with the Google Cloud console and Cloud Shell
  • Deploy solutions using Google Cloud Marketplace
  • Implement VPC networks and firewall rules
  • Create and customize VM instances using Compute Engine
  • 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

Who Can Benefit

  • 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

Prerequisites

  • 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

Course Details

Course Outline

Module 1: Introduction to Google Cloud

  • List the different ways of interacting with Google Cloud
  • Interact with the Google Cloud console and Cloud Shell
  • Create Cloud Storage buckets
  • Deploy solutions using Google Cloud Marketplace

Module 2: Virtual Networks

  • List the VPC objects in Google Cloud
  • Explore VPC Networking
  • 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
  • Create and customize VM instances using Compute Engine

Module 4: Identity and Access Management (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
  • Organize resources using labels
  • 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
  • Identify and fix errors using Cloud Debugger

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 Modernization

  • 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.
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