Architecting with Google Compute Engine
In this course, you will become familiar with the flexible infrastructure and platform services of Google Cloud, with a specific focus on Compute Engine.This training session uses a combination of lessons, demos, and hands-on labs to implement and explore solution elements, including infrastructure components such as networks, systems, and application services.You will also learn how to implement practical solutions such as hybrid networks, customer-supplied encryption keys, security and access management, quotas, billing, and resource monitoring.
21 hours
VirtualThis course teaches participants the following skills:Configure VPC networks and virtual machinesAdminister Identity and Access Management for resourcesImplement data storage services in Google CloudManage and examine billing of Google Cloud resourcesMonitor resources using Google Cloud servicesConnect your infrastructure to Google CloudConfigure load balancers and autoscaling for VM instancesAutomate the deployment of Google Cloud infrastructure servicesLeverage managed services in Google Cloud
Introduction to Google CloudList 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.Virtual NetworksList 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.Virtual MachinesRecall 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.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 Cloud IAM.Storage and Database ServicesDifferentiate 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.Resource ManagementDescribe 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.Resource MonitoringDescribe 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.Interconnecting NetworksRecall 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.Load Balancing and AutoscalingRecall the various load balancing services.Determine which Google Cloud load balancer to use in specific circumstances.Describe autoscaling behavior.Configure load balancers and autoscaling.Infrastructure ModernizationAutomate the deployment of Google Cloud services using Terraform.Outline the Google Cloud Marketplace.Managed ServicesDescribe the managed services for data processing in Google Cloud.
This class is intented for the following participants:Cloud Solution Architects, DevOps EngineersPeople using Google Cloud to create new solutions or integrate existing systems, infrastructure, and application environments with a focus on Compute EngineTo get the most out of this course, students should have:Have completed the course Google Cloud Fundamentals: Core Infrastructure or have similar experienceHave a basic understanding of command line tools and Linux operating system environmentsHave experience in systems operations, including application deployment and management, both locally and in a public cloud environment
