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1. Introduction to Cloud and Virtualization
· Introduction and Course objectives
· What is Datacenter
· What is virtualization
· How virtualization works and its benefits
· Different types in virtualization
· What is Cloud Computing
· Why Cloud Computing
· Benefits of Cloud Computing
· Cloud technology overview and vendors
· Cloud Computing Models (Private, Public, Hybrid and Community)
· Cloud Services (IaaS, PaaS, SaaS)
2. Introduction to Google Cloud
· Overview of Google Cloud
· Subscription Types, Account Creation
· List the different ways of interacting with Google Cloud.
· Use the Cloud Console and Cloud Shell.
· GCP Global infrastructure
· Understanding the GCP Pricing model
· Outline the Google Cloud Marketplace.
· Use the Google Cloud Marketplace to deploy solutions.
3. Virtual Machines
· Overview of GCP Instances
· Use the Google Cloud Marketplace to deploy solutions.
· VM types: 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
4. Virtual Networks
· Overview of GCP backbone network
· 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.
5. Interconnecting Networks
· 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.
· when to use Shared VPC and when to use VPC Network Peering.
6. Load Balancing and Autoscaling
· Various load balancing services.
· Determine which Google Cloud load balancer to use in specific circumstances.
· Describe autoscaling behaviour
· Configure load balancers and autoscaling.
7. Storage and Database Services
· Implement Private Google Access and Cloud NAT.
· 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.
· Create Cloud Storage buckets.
8. Cloud IAM
· Describe the Cloud IAM resource hierarchy.
· Explain the different types of IAM roles.
· Explain the different types of IAM members.
· Implement access control for resources using Cloud IAM.
9. Application in the Cloud
· App engine overview
· Deployment the App engine and Management options
· GCP functions
10. 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.
11. 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.
12. Infrastructure Modernization
· Describe the services for monitoring, logging, error reporting, tracing, and debugging.
· Automate the deployment of Google Cloud services using Deployment Manager or Terraform.
13. Managed Services
· Describe the managed services for data processing in Google Cloud.
14. Containers in the Cloud
· Overview Containers
· GCP Kubernets engine overview
· Deployment and Management of GCP Kubernets engine
15. Migration Solutions for GCP Cloud
· Overview of Migration models
· Migrations tools and compatibilities with GCP Cloud
Faculty | : | srikanth |
Duration | : | 40 Days |
Course Fee | : | 12,000 |
Training Type | : | Online |
Batch Type | : | Regular |