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

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

DevOps Automation

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

Choosing Storage Solutions

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

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 Network Intelligence Center
• Connect networks using peering and VPNs
• Create hybrid networks between Google Cloud and on-premises data centers

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 Google Cloud Functions

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 the 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

Security

• Design secure systems using best-practices like separation of concerns, principle of least privilege and regular audits
• Leverage Google Cloud Security Command Center to help identify vulnerabilities
• Simplify cloud governance using or organization 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 with private IPs, firewalls and Google Cloud private access
• Mitigate DDoS attacks by leveraging Cloud DNS and Cloud Armor

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, billing reports and by analyzing billing data
• Observe if your services are meeting their SLOs using Stackdriver Monitoring
  and Dashboards
• Use Uptime Checks to determine service availability
• Respond to service outages using Stackdriver Alerts