Architecting with Google Compute Engine (AGCE)

Course Content

This three-day instructor-led class introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. 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.

Prerequisites

Completion of Google Cloud Platform Fundamentals or 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

Who Should Attend

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

Gedetailleerde cursusinhoud

The course includes presentations, demonstrations, and hands-on labs.

Module 1: Introduction to Google Cloud Platform

• List the different ways of interacting with GCP
• Use the GCP Console and Cloud Shell
• Create Cloud Storage buckets
• Use the GCP Marketplace to deploy solutions

Module 2: Virtual Networks

• List the VPC objects in GCP
• Differentiate between the different types of VPC networks
• Implement VPC networks and firewall rules
• Design a maintenance server

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: 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 GCP customers
• Use labels to organize resources
• Explain the behavior of budget alerts in GCP
• Examine billing data with BigQuery

Module 7: Resource Monitoring

• Describe the Stackdriver services for monitoring, logging, error reporting, tracing, and debugging
• Create charts, alerts, and uptime checks for resources with Stackdriver Monitoring
• Use Stackdriver Debugger to identify and fix errors

Module 8: Interconnecting Networks

• Recall the GCP interconnect and peering services available to connect your infrastructure to GCP
• Determine which GCP 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 GCP load balancer to use in specific circumstances
• Describe autoscaling behavior
• Configure load balancers and autoscaling

Module 10: Infrastructure Automation

• Automate the deployment of GCP services using Deployment Manager or Terraform
• Outline the GCP Marketplace

Module 11: Managed Services

• Describe the managed services for data processing in GCP