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Architecting with Google Compute Engine

Length 3 days
Price NZD 2550 exc GST

Course overview

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Why study this course

This three-day course will familiarise 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.

Aligns to certifications

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What you’ll learn

This course teaches participants the following skills:

Interact with the Google Cloud console and Cloud Shell
Deploy solutions using Google Cloud Marketplace
Implement VPC networks and firewall rules
Create and customise VM instances using Compute Engine
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

Google Cloud at Lumify Work

Lumify Work is Australia's only national Google Cloud Authorised Training Partner. Get the skills needed to build, test, and deploy applications on this highly scalable infrastructure. Engineered to handle the most data-intensive work you can throw at it, Lumify Work can support you through training wherever you are in your Cloud adoption journey.

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Who is the course for?

This course is intended for the following participants:

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 Google Compute Engine.

Course subjects

Module 1: Introduction to Google Cloud

List the different ways of interacting with Google Cloud
Interact with the Google Cloud console and Cloud Shell
Create Cloud Storage buckets
Deploy solutions using Google Cloud Marketplace
Lab: Console and Cloud Shell
Lab: Infrastructure Preview

Module 2: Virtual Networks

List the VPC objects in Google Cloud
Explore VPC Networking
Implement Private Google Access and Cloud NAT
Lab: VPC Networking
Lab: 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
Create and customise VM instances using Compute Engine
Lab: Creating Virtual Machines
Lab: Working with Virtual Machines

Module 4: Identity and Access Management (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
Lab: 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
Lab: Cloud Storage
Lab: Implementing Cloud SQL

Module 6: Resource Management

Describe the cloud resource manager hierarchy
Recognise how quotas protect Google Cloud customers
Organise resources using labels
Explain the behavior of budget alerts in Google Cloud
Examine billing data with BigQuery
Lab: Examining 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
Identify and fix errors using Cloud Debugger
Lab: Resource Monitoring
Lab: Error Reporting and Debugging

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 Google Cloud HA VPN
Recall when to use Shared VPC and when to use VPC Network Peering
Lab: Virtual Private Networks (VPN)

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
Lab: ILT Configure an HTTP Load Balancer with Autoscaling
Lab: Configuring an Internal Load Balancer

Module 10: Infrastructure Automation

Automate the deployment of Google Cloud services using Deployment
Manager or Terraform
Outline the Google Cloud Marketplace
Lab: Automating the Deployment of Infrastructure Using Terraform

Module 11: Managed Services

Describe the managed services for data processing in Google Cloud

Prerequisites

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

Completed Google Cloud Platform Fundamentals: Core Infrastructure or have 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

Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.