Architecting with Google Compute Engine (GCE)

Experienced developers who are responsible for managing big data transformations including:

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

After this course participants should be able to:

• Interact with the Google Cloud console and Cloud Shell
• Deploy solutions using Google Cloud Marketplace
• Implement VPC networks and firewall rules
• Create and customize 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

 

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

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

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 customize VM instances using Compute Engine
• Lab: Creating Virtual Machines
• Lab: Working with Virtual Machines

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 IAM
• Lab: Cloud IAM

5. Storage and Database services

• Differentiate between Cloud Storage, Cloud SQL, Cloud Spanner, Firestore and Cloud Bigtable
• Choose a data storage service based on your requirements
• Implement data storage services
• Lab: Cloud Storage
• Lab: Implementing Cloud SQL

6. Resource Management

• Describe the cloud resource manager hierarchy
• Recognize how quotas protect Google Cloud customers
• Organize resources using labels
• Explain the behavior of budget alerts in Google Cloud
• Examine billing data with BigQuery
• Lab: Examining Billing Data with BigQuery

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

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)

9. Load balacing 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

10. Infrastructure Automation

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

11. Managed Services

• Describe the managed services for data processing in Google Cloud

• 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 

This course is part of the Learning path towards Certification: Google Cloud Certified – Associate Cloud Engineer

• GO6591 Getting Started with Google Kubernetes Engine
• GO6494 Architecting with Google Kubernetes Engine

• Official course book provided to participants.