- Course overview
- Course details
- Prerequisites
Course overview
About this course
Architecting with Google Compute Engine (AGCE) will familiarize you with Google Cloud's flexible infrastructure and platform services, with a specific focus on Compute Engine. This course 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.
Audience profile
- 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
Course details
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
Module 2: Virtual Networks
- List the VPC objects in Google Cloud
- Explore VPC Networking
- 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 customize VM instances using Compute Engine
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 IAM
Module 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
Module 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
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
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
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 Automation
- 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
Prerequisites
Before attending this course, students should have:
- 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
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Course : Architecting with Google Compute Engine (AGCE)
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