• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

A: This course is suitable for solution architects, system administrators, IT professionals, and anyone interested in designing and architecting solutions on Google Cloud Platform. It is designed for individuals who have a basic understanding of GCP services and want to gain expertise in architecting reliable and efficient cloud solutions.

A: This course covers a range of topics, including understanding GCP architectural principles, designing highly available and scalable architectures, implementing secure and compliant solutions, selecting appropriate GCP services for specific use cases, optimizing performance and cost, and managing the architectural lifecycle.

A: Participants should have a fundamental understanding of cloud computing concepts and familiarity with Google Cloud Platform (GCP) services. Prior experience with GCP and knowledge of basic networking and storage concepts is beneficial but not mandatory.

A: By completing this course, participants will gain the skills and knowledge to design and architect solutions on Google Cloud Platform. They will learn how to apply architectural best practices, design for high availability and scalability, implement security and compliance measures, select appropriate GCP services, optimize performance and cost, and effectively manage the architectural lifecycle.

A: This course is not directly associated with a specific certification. However, the knowledge and skills acquired through this course can be beneficial for individuals pursuing various Google Cloud certifications, such as the “Google Cloud Certified – Professional Cloud Architect” or “Google Cloud Certified – Associate Cloud Engineer” certifications.