Description
Overview:
This course 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.
Prerequisites:
To get the most out of this course, participants should:
- 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
Audience:
This course is intended for the following participants:
- 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
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 – 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
- 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 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
