Thời lượng:
32 hours
Ngày khai giảng:
20.10.2021
Online:
Google Meet
Học phí:
9,600,000 VNĐ (16,000,000 VND)
01
Introduction to Google Cloud
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List the different ways of interacting with Google Cloud.
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Use the Cloud Console and Cloud Shell.
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Use the Google Cloud Marketplace to deploy solutions.
02
Virtual Machines
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Recall the CPU and memory options for virtual machines.
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Describe the disk options for virtual machines.
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Explain VM pricing and discounts.
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Use Compute Engine to create and customize VM instances.
03
Virtual Networks
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List the VPC objects in Google Cloud.
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Differentiate between the different types of VPC networks.
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Implement VPC networks and firewall rules.
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Implement Private Google Access and Cloud NAT.
04
Storage and Database Services
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Differentiate between Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Firestore and Cloud Bigtable.
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Create Cloud Storage buckets.
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Choose a data storage service based on your requirements.
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Implement data storage services.
05
CloudIAM
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Describe the Cloud IAM resource hierarchy.
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Explain the different types of IAM roles.
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Recall the different types of IAM members.
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Implement access control for resources using Cloud IAM.
06
Resource Management
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Describe the cloud resource manager hierarchy.
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Recognize how quotas protect Google Cloud customers.
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Use labels to organize resources.
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Explain the behavior of budget alerts in Google Cloud.
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Examine billing data with BigQuery.
07
Resource Monitoring
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Describe the services for monitoring, logging, error reporting, tracing, and debugging.
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Create charts, alerts, and uptime checks for resources with Cloud Monitoring.
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Use Cloud Debugger to identify and fix errors.
08
Interconnecting Networks
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Recall the Google Cloud interconnect and peering services available to connect your infrastructure to Google Cloud.
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Determine which Google Cloud interconnect or peering service to use in specific circumstances.
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Create and configure VPN gateways.
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Recall when to use Shared VPC and when to use VPC Network Peering.
09
Load Balancing and Autoscaling
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Recall the various load balancing services.
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Determine which Google Cloud load balancer to use in specific circumstances.
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Describe autoscaling behavior.
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Configure load balancers and autoscaling.
10
Infrastructure Modernization
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Automate the deployment of Google Cloud services using Deployment Manager or Terraform.
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Outline the Google Cloud Marketplace.
11
Managed Services
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Describe the managed services for data processing in Google Cloud.
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Cloud Function
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Cloud Run
12
Containers and Kubernetes in Google Cloud
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Create a container using Cloud Build.
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Store a container in Container Registry.
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Understand the relationship between Kubernetes and Google Kubernetes Engine (GKE).
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Understand how to choose among Google Cloud Compute platforms.
13
Kubernetes Architecture
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Understand the architecture of Kubernetes: pods, namespaces.
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Understand the control-plane components of Kubernetes.
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Create container images using Cloud Build.
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Store container images in Container Registry.
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Create a Kubernetes engine cluster.
14
Introduction to Kubernetes Workloads
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The kubectl Command
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Deployments
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Ways to Create Deployments
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Services and Scaling
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Updating Deployments
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Blue-Green Deployments
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Canary Deployments
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Managing Deployments
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Lab: Creating Google Kubernetes Engine Deployments
15
Pod Networking
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Pod Networking
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Volumes
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Volume Types part 1
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Volume Types part 2
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The PersistentVolume abstraction
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Lab: Configuring Persistent Storage for Google Kubernetes Engine
16
Review and trial exam
Trần Tuấn Anh
IT
Nguyễn Ngọc Minh Thy
Data Engineer
Trương Quốc Thắng
Data Engineer
Phạm Văn Hùng
IT
Dương Minh Phương
Engineer
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