This curriculum spans the equivalent of a multi-workshop cloud transformation program, covering the technical, financial, and organizational dimensions of cloud adoption seen in enterprise-scale migrations.
Module 1: Strategic Cloud Readiness Assessment
- Conduct application portfolio analysis to classify workloads by cloud suitability using criteria such as statefulness, compliance dependencies, and interdependencies.
- Define migration sequencing priorities based on business impact, technical debt, and integration complexity across legacy systems.
- Establish cross-functional readiness review boards to evaluate cloud readiness across security, operations, and application teams.
- Negotiate data residency requirements with legal and compliance stakeholders before selecting cloud regions.
- Map existing on-premises SLAs to equivalent cloud service tiers, adjusting expectations for availability and support response.
- Assess skill gaps in infrastructure, networking, and security teams to determine internal upskilling versus external hiring needs.
Module 2: Cloud Architecture and Design Principles
- Design multi-account AWS Organizations or Azure Management Group structures to enforce isolation between production, non-production, and departmental workloads.
- Implement hub-and-spoke VPC/VNet architectures with shared transit gateways for consistent network policy enforcement and cost control.
- Select between serverless, containerized, or VM-based deployment models based on workload predictability, scaling requirements, and operational overhead tolerance.
- Integrate automated tagging policies at deployment time to ensure cost allocation, security classification, and resource ownership tracking.
- Architect for regional failover by replicating critical data stores and configuring DNS failover mechanisms with acceptable RTO/RPO thresholds.
- Define data encryption standards for data at rest and in transit, including key management strategy using customer-managed or cloud provider keys.
Module 3: Migration Execution and Workload Refactoring
- Execute database migrations using native replication tools (e.g., AWS DMS, Azure Data Migration Service) while managing cutover windows and data consistency checks.
- Decide between lift-and-shift, refactor, or rebuild approaches for monolithic applications based on long-term TCO and maintainability goals.
- Refactor stateful applications to use externalized storage (e.g., cloud databases, object storage) to enable horizontal scaling.
- Coordinate DNS cutover timing with application teams to minimize user impact during blue-green deployments.
- Implement application-level health checks and circuit breakers to manage partial cloud service outages during migration.
- Validate migrated workloads against performance baselines to detect degradation due to network latency or configuration drift.
Module 4: Identity, Access, and Security Governance
- Integrate cloud identity providers with on-premises Active Directory using secure federation protocols (e.g., SAML, OIDC) and conditional access policies.
- Enforce least-privilege access using role-based access control (RBAC) and just-in-time (JIT) elevation for administrative tasks.
- Implement centralized logging of IAM activity and automate anomaly detection for credential misuse or privilege escalation.
- Configure security groups and network ACLs to follow zero-trust principles, explicitly denying all traffic by default.
- Establish automated remediation workflows for non-compliant resources, such as public S3 buckets or unrestricted firewall rules.
- Negotiate shared responsibility model boundaries with cloud providers to clarify accountability for patching, monitoring, and incident response.
Module 5: Cost Management and Financial Operations
- Implement reserved instance and savings plan purchasing strategies based on historical usage patterns and forecasted demand.
- Configure cost allocation tags across all accounts and enforce tagging compliance through automated policy checks.
- Set up budget alerts and anomaly detection to identify unexpected spending spikes before they impact financial forecasts.
- Right-size compute instances using performance telemetry and utilization trends to eliminate overprovisioning.
- Evaluate spot instance or preemptible VM usage for fault-tolerant workloads, balancing cost savings against restart risk.
- Consolidate billing across multiple departments using enterprise agreements while maintaining chargeback or showback reporting.
Module 6: Operational Resilience and Monitoring
- Deploy cloud-native monitoring agents and configure custom metrics collection for business-critical transactions.
- Define incident response runbooks that integrate cloud provider APIs for automated diagnostics and remediation.
- Implement centralized log aggregation using services like CloudWatch Logs, Azure Monitor, or third-party SIEM platforms.
- Configure auto-healing policies for VMs and containers based on health check failures and resource exhaustion thresholds.
- Conduct regular disaster recovery drills by simulating region outages and validating data restoration from backups.
- Standardize configuration management using infrastructure-as-code tools to prevent configuration drift and ensure reproducibility.
Module 7: Continuous Optimization and Innovation
- Establish a cloud center of excellence (CCoE) with rotating membership to govern standards, share best practices, and review architectural changes.
- Conduct quarterly architecture review boards to evaluate compliance with cloud design principles and identify optimization opportunities.
- Automate technical debt identification by scanning for deprecated services, unpatched systems, and insecure configurations.
- Integrate FinOps practices into sprint planning to align development velocity with cost accountability.
- Prototype AI/ML services for log analysis or capacity forecasting, evaluating operational ROI before scaling.
- Measure cloud efficiency using KPIs such as cost per transaction, mean time to recovery, and deployment frequency.
Module 8: Change Management and Organizational Alignment
- Redesign IT service management (ITSM) workflows to reflect cloud-native incident, change, and problem management processes.
- Reconfigure support escalation paths to include cloud provider support engineers and define joint ownership for resolution.
- Align cloud KPIs with business unit objectives to secure ongoing funding and stakeholder buy-in.
- Transition application teams to DevOps models by redefining roles, responsibilities, and performance incentives.
- Negotiate revised SLAs with internal customers to reflect cloud-based service delivery models and self-service capabilities.
- Develop internal knowledge repositories with approved patterns, deployment templates, and troubleshooting guides to reduce tribal knowledge.