We provide online course about Architecting with Google Compute Engine. This 3-day instructor-led class introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud, with a focus on Compute Engine.
Content:
Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems, and application services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.
Objectives:
This course teaches participants 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
Course 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 - 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
Module 5 - Data Storage 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
• 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 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
Target audience:
• Cloud Solutions Architects, DevOps Engineers
• Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with a focus on Compute Engine.
Prerequisites:
To get the most out of this course, participants should have:
• Completion of Google Cloud Fundamentals: Core Infrastructure 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.