Description

This curriculum spans the technical, operational, and governance dimensions of cloud migration, comparable in scope to a multi-phase advisory engagement supporting enterprise teams through readiness assessment, workload modernization, hybrid networking, and ongoing cloud governance.

Module 1: Assessing Enterprise Readiness for Cloud Migration

Conduct inventory audits of legacy applications to determine technical debt and refactoring requirements prior to migration.
Evaluate existing data center SLAs against cloud provider uptime commitments to identify compliance exposure.
Map interdependencies between on-premises systems and third-party integrations that may disrupt migration sequencing.
Engage legal and compliance teams to assess data residency implications under current regulatory frameworks.
Assess internal skill gaps in cloud operations and determine whether to upskill or augment with external expertise.
Define migration eligibility criteria, including performance thresholds, data sensitivity, and business continuity requirements.
Establish baseline performance metrics for critical applications to measure post-migration impact.

Module 2: Defining Migration Strategy and Sourcing Models

Select migration patterns (rehost, refactor, rearchitect, replace, retire) based on application architecture and business value.
Negotiate multi-year reserved instance commitments versus spot or on-demand pricing based on workload predictability.
Determine whether to adopt a single-cloud or multi-cloud strategy, considering vendor lock-in and operational complexity.
Decide between managed service provider (MSP) engagement or in-house execution based on operational bandwidth and risk tolerance.
Establish criteria for workload placement across public, private, and hybrid environments based on security and latency needs.
Define exit strategies for cloud providers, including data portability and contract termination clauses.
Align migration timelines with fiscal planning cycles to manage capital versus operational expenditure shifts.

Module 3: Data Migration and Integration Architecture

Design data staging pipelines using landing zones to validate integrity during large-scale database transfers.
Choose between online and offline data transfer methods based on bandwidth constraints and acceptable downtime windows.
Implement schema transformation rules for heterogeneous database migrations (e.g., Oracle to PostgreSQL).
Configure change data capture (CDC) mechanisms to maintain synchronization during phased cutover periods.
Encrypt data in transit and at rest using customer-managed keys to meet internal security policies.
Validate referential integrity and data consistency post-migration using automated reconciliation scripts.
Integrate legacy identity sources with cloud directories to maintain access control continuity.

Module 4: Application Refactoring and Modernization

Decompose monolithic applications into microservices using domain-driven design principles for cloud-native deployment.
Migrate stateful applications to cloud platforms by implementing externalized session and storage management.
Containerize legacy workloads using Docker and orchestrate via Kubernetes with appropriate resource limits and scaling policies.
Refactor batch processing jobs to serverless functions with event-driven triggers and monitoring hooks.
Update application configuration management to use cloud-based parameter stores instead of hardcoded values.
Introduce API gateways to manage versioning, rate limiting, and authentication for modernized services.
Modify logging and tracing mechanisms to integrate with cloud-native observability tools.

Module 5: Security, Compliance, and Identity Governance

Implement zero-trust network architectures using micro-segmentation and identity-based access controls.
Enforce least-privilege IAM policies using role tagging and just-in-time access for cloud resources.
Integrate cloud security posture management (CSPM) tools into CI/CD pipelines to detect misconfigurations early.
Map existing on-premises compliance controls (e.g., SOC 2, HIPAA) to cloud provider compliance offerings.
Configure automated alerting for anomalous user behavior using cloud-native threat detection services.
Establish audit trails by enabling cloud logging and forwarding logs to a centralized SIEM system.
Define data classification policies and automate tagging to enforce encryption and retention rules.

Module 6: Network and Connectivity Design

Provision dedicated interconnects (e.g., AWS Direct Connect, Azure ExpressRoute) to ensure predictable throughput and latency.
Design hybrid DNS architectures to resolve resources across on-premises and cloud environments consistently.
Implement routing policies using BGP to manage traffic flow between data centers and cloud VPCs.
Configure firewall rules and network ACLs to restrict traffic between tiers and enforce segmentation.
Size and deploy load balancers based on expected traffic patterns and failover requirements.
Optimize content delivery using CDN configurations with cache invalidation and origin shielding.
Plan for DNS cutover timing and TTL adjustments to minimize resolution errors during migration.

Module 7: Operational Readiness and Monitoring

Define cloud-specific incident response procedures, including escalation paths and runbook integration.
Deploy monitoring agents and configure alerts for CPU, memory, disk I/O, and network utilization thresholds.
Establish centralized logging with retention policies and query capabilities for troubleshooting.
Automate backup and snapshot schedules with cross-region replication for disaster recovery.
Integrate cloud cost monitoring tools to track spending by department, project, and application.
Conduct failover testing for critical systems to validate recovery time and point objectives (RTO/RPO).
Train operations teams on cloud console navigation, CLI usage, and troubleshooting workflows.

Module 8: Governance, Cost Management, and Optimization

Implement tagging standards for resources to enable cost allocation and chargeback reporting.
Set up budget alerts and automated actions (e.g., shutdown non-production instances) to control overspending.
Conduct monthly cost reviews to identify underutilized instances and rightsizing opportunities.
Negotiate enterprise discount agreements (e.g., Azure EA, AWS Enterprise Discount Program) based on usage forecasts.
Establish change advisory boards (CAB) to review and approve new cloud resource provisioning.
Enforce infrastructure-as-code (IaC) policies using policy-as-code tools to prevent non-compliant deployments.
Measure and report on carbon footprint changes post-migration to support sustainability goals.