Architecting with Google Compute Engine

Course Code: googlearch

Duration: 21 hours

Prerequisites:

Completion of Google Cloud Platform Fundamentals or 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

Overview:

This three-day instructor-led class introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems, and application services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.

Who Should Attend?

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.

What You'll Learn

Consider the entire range of Google Cloud Platform technologies in their plans
Learn methods to develop, implement, and deploy solutions Distinguish between features of similar or related products and technologies
Recognize a wide variety of solution domains, use cases, and applications
Develop essential skills for managing and administering solutions
Develop knowledge of solution patterns- methods, technologies, and designs that are used to implement security, scalability, high availability, and other desired qualities

Course Outline:

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: Cloud 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

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