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

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

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

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

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

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

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

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

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