Percorso di Certificazione Google Cloud "Professional Cloud Architect Engineer"

Architecting with Google Compute Engine
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


Architecting with Google Cloud: Design and Process
Module 1: Defining the Service
Describe users in terms of roles and personas
Write qualitative requirements with user stories
Write quantitative requirements using key performance indicators (KPIs)
Evaluate KPIs using SLOs and SLIs
Determine the quality of application requirements using SMART criteria

Module 2: Microservice Design and Architecture
Decompose monolithic applications into microservices
Recognize appropriate microservice boundaries
Architect stateful and stateless services to optimize scalability
and reliability
Implement services using 12-factor best practices
Build loosely coupled services by implementing a well-designed
REST architecture
Design consistent, standard RESTful service APIs

Module 3: DevOps Automation
Automate service deployment using CI/CD pipelines
Leverage Cloud Source Repositories for source and version
control
Automate builds with Cloud Build and build triggers
Manage container images with Google Container Registry
Create infrastructure with code using Deployment Manager and
Terraform

Module 4: Choosing Storage Solutions
Choose the appropriate Google Cloud data storage service based on use case, durability, availability, scalability and cost
Store binary data with Cloud Storage
Store relational data using Cloud SQL and Spanner
Store NoSQL data using Firestore and Cloud Bigtable
Cache data for fast access using Memorystore
Build a data warehouse using BigQuery

Module 5: Google Cloud and Hybrid Network Architecture
Design VPC networks to optimize for cost, security, and performance
Configure global and regional load balancers to provide access to services
Leverage Cloud CDN to provide lower latency and decrease network egress
Evaluate network architecture using the Cloud Network Intelligence Center
Connect networks using peering and VPNs
Create hybrid networks between Google Cloud and on-premises data centers using Cloud Interconnect

Module 6: Deploying Applications to Google Cloud
Choose the appropriate Google Cloud deployment service for your applications
Configure scalable, resilient infrastructure using Instance Templates and Groups
Orchestrate microservice deployments using Kubernetes and GKE
Leverage App Engine for a completely automated platform as a service (PaaS)
Create serverless applications using Cloud Functions

Module 7: Designing Reliable Systems
Design services to meet requirements for availability, durability, and scalability
Implement fault-tolerant systems by avoiding single points of failure, correlated failures, and cascading failures
Avoid overload failures with the circuit breaker and truncated exponential backoff design patterns
Design resilient data storage with lazy deletion
Analyze disaster scenarios and plan for disaster recovery using cost/risk analysis

Module 8: Security
Design secure systems using best practices like separation of concerns, principle of least privilege, and regular audits
Leverage Cloud Security Command Center to help identify vulnerabilities
Simplify cloud governance using organizational policies and folders
Secure people using IAM roles, Identity-Aware Proxy, and Identity Platform
Manage the access and authorization of resources by machines and processes using service accounts
Secure networks with private IPs, firewalls, and Private Google Access
Mitigate DDoS attacks by leveraging Cloud DNS and Cloud Armor

Module 9: Maintenance and Monitoring
Manage new service versions using rolling updates, blue/green deployments, and canary releases
Forecast, monitor, and optimize service cost using the Google Cloud pricing calculator and billing reports and by analyzing billing data
Observe whether your services are meeting their SLOs using Cloud Monitoring and Dashboards
Use Uptime Checks to determine service availability
Respond to service outages using Cloud Monitoring Alerts