Architecting with Google Compute Engine (GCPIA)

This course will familiarize you with Google Cloud's flexible infrastructure and platform services, with a specific focus on Compute Engine. This session 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.

2022/7/6-8

09:30 – 17:30

(Total 24 training hours)

Cantonese, Supplemented with English terminology

HK$16,900

Course Information

Course Name: Architecting with Google Compute Engine

Trainer: Zorro Cheng

Certificate: A minimum of 70% attendance rate is required for awarding of a completion certificate

Remark: Please Bring your own laptop (BYOD) to classes.

What Will You Achieve

  • 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

Who Is This Course For?

  • 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

Requirement

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

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

Describe the managed services for data processing in Google Cloud

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