Architecting with Google Compute Engine

Siapakah yang bisa mengikuti kursus ini?

• Arsitek Solusi Cloud, Teknisi DevOps
• Individu yang menggunakan Google Cloud Platform untuk membuat solusi baru atau untuk mengintegrasikan sistem, lingkungan aplikasi, dan infrastruktur yang ada dengan berfokus pada Compute Engine.

Prasyarat

Untuk mengambil kursus ini, para peserta diharapkan sudah

• Menyelesaikan kursus Google Cloud Fundamentals: Core Infrastructure atau memiliki pengalaman yang setara
• Memiliki kemahiran dasar dengan command-line tools dan lingkungan sistem operasi Linux
• Berpengalaman dalam pengoperasian sistem, termasuk menerapkan dan mengelola aplikasi, baik di lingkungan cloud lokal atau publik.

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
• 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 auto scaling 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