Architecting with Google Compute Engine
This three-day instructor-led class introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud, with a focus on Compute Engine.
Kursdatoer er ikke helt avklart ennå, men kontakt [email protected] for påmelding!
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.
Course Objectives
This course teaches participants the following skills:
- Configure VPC networks and virtual machines
- 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
Audience
- 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 Compute Engine
Prerequisites
To get the most out of this course, participants should have:
- Completion of Google Cloud 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
All courses will be delivered in partnership with ROI Training, Google Cloud Premier Partner, using a Google Authorized Trainer.
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
-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
-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
-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: Data Storage 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
-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
-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 Modernization
-Automate the deployment of Google Cloud services using Deployment Manager or Terraform
-Outline the Google Cloud Marketplace
Describe the managed services for data processing in Google Cloud
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