1.1 Designing a solution infrastructure that meets business requirements. Considerations include:
        Business use cases and product strategy
        Cost optimization
        Supporting the application design
        Integration with external systems
        Movement of data
        Design decision trade-offs
        Build, buy, or modify
        Success measurements (e.g., key performance indicators [KPI], return on investment [ROI], metrics)
        Compliance and observability
    1.2 Designing a solution infrastructure that meets technical requirements. Considerations include:
        High availability and failover design
        The elasticity of cloud resources
        Scalability to meet growth requirements
        Performance and latency
    1.3 Designing network, storage, and compute resources. Considerations include:
        Integration with on-premises/multi-cloud environments
        Cloud-native networking (VPC, peering, firewalls, container networking)
        Choosing data processing technologies
        Choosing appropriate storage types (e.g., object, file, RDBMS, NoSQL, NewSQL)
        Choosing to compute resources (e.g., preemptible, custom machine type, specialized workload)
        Mapping compute needs to platform products
    1.4 Creating a migration plan (i.e., documents and architectural diagrams). Considerations include:
        Integrating solution with existing systems
        Migrating systems and data to support the solution
        Licensing mapping
        Network planning
        Testing and proof of concept
        Dependency management planning
    1.5 Envisioning future solution improvements. Considerations include:
        Cloud and technology improvements
        Business needs evolution
        Evangelism and advocacy
2. Managing and provisioning a solution Infrastructure
    2.1 Configuring network topologies. Considerations include:
        Extending to on-premises (hybrid networking)
        Extending to a multi-cloud environment that may include GCP to GCP communication
        Security and data protection
    2.2 Configuring individual storage systems. Considerations include:
        Data storage allocation
        Data processing/compute provisioning
        Security and access management
        Network configuration for data transfer and latency
        Data retention and data life cycle management
        Data growth management
    2.3 Configuring compute systems. Considerations include:
        Compute system provisioning
        Compute volatility configuration (preemptible vs. standard)
        Network configuration for compute nodes
        Infrastructure provisioning technology configuration (e.g. Chef/Puppet/Ansible/Terraform/Deployment Manager)
        Container orchestration with Kubernetes
3. Designing for security and compliance
    3.1 Designing for security. Considerations include:
        Identity and access management (IAM)
        Resource hierarchy (organizations, folders, projects)
        Data security (key management, encryption)
        Penetration testing
        Separation of duties (SoD)
        Security controls (e.g., auditing, VPC Service Controls, organization policy)
        Managing customer-managed encryption keys with Cloud KMS
    3.2 Designing for compliance. Considerations include:
        Legislation (e.g., health record privacy, children’s privacy, data privacy, and ownership)
        Commercial (e.g., sensitive data such as credit card information handling, personally identifiable information [PII])
        Industry certifications (e.g., SOC 2)
        Audits (including logs)
4. Analyzing and optimizing technical and business processes
    4.1 Analyzing and defining technical processes. Considerations include:
        Software development life cycle plan (SDLC)
        Continuous integration / continuous deployment
        Troubleshooting/post mortem analysis culture
        Testing and validation
        Service catalog and provisioning
        Business continuity and disaster recovery
    4.2 Analyzing and defining business processes. Considerations include:
        Stakeholder management (e.g. influencing and facilitation)
        Change management
        Team assessment / skills readiness
        Decision-making process
        Customer success management
        Cost optimization / resource optimization (capex / opex)
    4.3 Developing procedures to ensure the resilience of solution in production (e.g., chaos engineering)
 5. Managing implementation
    5.1 Advising development/operation team(s) to ensure successful deployment of the solution. Considerations include:
        Application development
        API best practices
        Testing frameworks (load/unit/integration)
        Data and system migration tooling
    5.2 Interacting with Google Cloud using GCP SDK (gcloud, gsutil, and bq). Considerations include:
        Local installation
        Google Cloud Shell
6. Ensuring solution and operations reliability
    6.1 Monitoring/logging/profiling/alerting solution
    6.2 Deployment and release management
    6.3 Assisting with the support of solutions in operation
    6.4 Evaluating quality control measures