Google Cloud

Architecting with Google Compute Engine

21 hours
1380,00 €
Classroom or Live Virtual Class
Classroom or Live Virtual Class
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Description

TASTE OF TRAINING

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.

Audience and prerequisites

This class is intented for the following participants:

  • Cloud Solution Architects, DevOps Engineers
  • People using Google Cloud to create new solutions or integrate existing systems, infrastructure, and application environments with a focus on Compute Engine

To get the most out of this course, students should have:

  • Have completed the course Google Cloud Fundamentals: Core Infrastructure or have similar experience
  • Have a basic understanding of command line tools and Linux operating system environments
  • Have experience in systems operations, including application deployment and management, both locally and in a public cloud environment

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

Topics

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: 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.

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 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 Terraform.
  • Outline the Google Cloud Marketplace.

Module 11: Managed Services

  • Describe the managed services for data processing in Google Cloud.

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