Architecting with Google Compute Engine AGCE

Dieses Training führen wir in Zusammenarbeit mit Fast Lane Institute for Knowledge Transfer GmbH durch.

Zielgruppe

This course is intended for the following participants:

• 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

Seminarinhalt

• Module 1
  Introduction to Google Cloud
  Topics covered:

  • 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
  Topics covered:

  • 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
  Topics covered:

  • 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
  Topics covered:

  • 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
  Topics covered:

  • 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
  Topics covered:

  • 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
  Topics covered:

  • 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
  Topics covered:

  • 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
  Topics covered:

  • 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 Automation
  Topics covered:

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

  Module 11
  Managed Services
  Topics covered:

  • Describe the managed services for data processing in Google Cloud

Voraussetzungen für den Kurs

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

• Have completed Google Cloud Fundamentals: Core Infrastructure (GCF-CI) 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