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Architecting with Google Compute Engine
GOOGLE PROFESSIONAL CLOUD SECURITY ENGINEER PROFESSIONAL CLOUD ARCHITECT ASSOCIATE PROFESSIONAL PROFESSIONAL NETWORK ENGINEER CLOUD, IOT, Network, machinelearning, bigdata, virtualmachines, ubernetes, deeplearning, compute, engine, computeenine
€1600.00 (Request Availability)
DURATION
3 days
COURSE DESCRIPTION
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. 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.
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
AUDIENCE
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
TOPICS
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: 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
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 Modernization
Automate the deployment of Google Cloud services using Deployment Manager or Terraform
Outline the Google Cloud Marketplace
Module 11: Managed Services
Describe the managed services for data processing in Google Cloud
3 days
COURSE DESCRIPTION
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. 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.
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
AUDIENCE
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
TOPICS
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: 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
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 Modernization
Automate the deployment of Google Cloud services using Deployment Manager or Terraform
Outline the Google Cloud Marketplace
Module 11: Managed Services
Describe the managed services for data processing in Google Cloud
