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Section 1: Designing and planning a cloud solution architecture

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
  • movement of data
  • tradeoffs
  • build, buy or modify
  • success measurements (e.g., Key Performance Indicators (KPI), Return on Investment (ROI), metrics)

1.2 Designing a solution infrastructure that meets technical requirements. Considerations include:

  • high availability and failover design
  • elasticity of cloud resources
  • scalability to meet growth requirements

1.3 Designing network, storage, and compute resources. Considerations include:

  • integration with on premises/multi-cloud environments
  • identification of data storage needs and mapping to storage systems
  • data flow diagrams
  • storage system structure (e.g., Object, File, RDBMS, NoSQL, New SQL)
  • 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 and management planning
  • testing and proof-of-concept

1.5 Envisioning future solution improvements. Considerations include:

  • cloud and technology improvements
  • business needs evolution
  • evangelism and advocacy

Section 2: Managing and provisioning solution Infrastructure

2.1 Configuring network topologies. Considerations include:

  • extending to on-premises (hybrid networking)
  • extending to a multi-cloud environment
  • security
  • 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 lifecycle 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
  • orchestration technology configuration (e.g. Chef/Puppet/Kubernetes)

Section 3: Designing for security and compliance

3.1 Designing for security. Considerations include:

  • Identity and Access Management (IAM)
  • data security
  • penetration testing
  • Separation of Duties (SoD)
  • security controls

3.2 Designing for legal compliance. Considerations include:

  • legislation (e.g., Health Insurance Portability and Accountability Act (HIPAA), Children’s Online Privacy Protection Act (COPPA), etc.)
  • audits
  • certification (e.g., Information Technology Infrastructure Library (ITIL) framework)

Section 4: Analyzing and optimizing technical and business processes

4.1 Analyzing and defining technical processes. Considerations include:

  • Software Development Lifecycle Plan (SDLC)
  • continuous integration / continuous deployment
  • troubleshooting / post mortem analysis culture
  • testing and validation
  • IT enterprise process (e.g. ITIL)
  • business continuity and disaster recovery

4.2 Analyzing and defining business processes. Considerations include:

  • stakeholder management (e.g. Influencing and facilitation)
  • change management
  • decision making process
  • customer success management

4.3 Developing procedures to test resilience of solution in production (e.g., DiRT and Chaos Monkey)

Section 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 Reading and writing application development languages. At a minimum, languages include:

  • Java
  • Python

Section 6: Ensuring solution and operations reliability

6.1 Monitoring/Logging/Alerting solution 6.2 Deployment and release management 6.3 Supporting operational troubleshooting 6.4 Evaluating quality control measures