Cloud Strategy & Workload Positioning

Define your cloud strategy with expert guidance on what workloads to move, when, and under what constraints, tailored to your industry and compliance requirements.

Service Overview

Many organizations today aspire to harness both private and public cloud, but need expert guidance to define their cloud strategy—deciding what workloads to move, when, and under what constraints. At arqitekta, we assist in developing cloud guidelines tailored to your specific industry, the countries you operate in, and the nature of your digital service consumers.

Regulatory requirements, whether industry or national, often play a pivotal role in determining where data—and by extension, systems—can reside. These considerations influence your use of private and public cloud as well as which providers you can select.

Our approach ensures your cloud strategy accounts for technology constraints, potential cost savings, and all relevant compliance requirements. With clear, pragmatic cloud positioning, your workloads are always placed where they deliver the most value and least risk.

The difference between a successful cloud strategy and an expensive misstep often comes down to workload placement discipline. Organizations that migrate without a structured placement framework frequently encounter 20-40% cost overruns, compliance violations, and performance degradation that erodes stakeholder confidence. Our methodology ensures every workload lands on the platform that optimizes for cost, compliance, performance, and operational readiness simultaneously.

The Cloud Strategy Imperative

Why Strategy Before Migration

Common Migration Pitfalls

Without Strategy:
- Lift-and-shift everything to one cloud provider
- Cloud costs exceed on-premise within 12 months
- Compliance violations from improper data placement
- Performance degradation from poor architecture fit
- Vendor lock-in limiting future flexibility

With Strategy:
- Right workload on the right platform
- 30-50% cost optimization from day one
- Compliance-by-design for all regulated data
- Performance optimized per workload profile
- Multi-cloud flexibility preserved

The Cost of Getting It Wrong

Repatriation expenses: 2-3x the original migration cost to move workloads back
Compliance penalties: Regulatory fines ranging from $100K to multi-million dollar enforcement actions
Performance impact: 20-40% throughput reduction for latency-sensitive workloads placed incorrectly
Talent drain: Teams frustrated by firefighting poorly placed workloads instead of innovating

Strategic Value of Cloud Positioning

Financial Optimization: Match workload economics to the right consumption model
Regulatory Compliance: Ensure data residency and sovereignty requirements are met by design
Operational Excellence: Align operational models with team capabilities and tooling maturity
Business Agility: Enable rapid scaling and innovation where it matters most

Cloud Strategy Framework

Phase 1: Discovery & Assessment

Weeks 1-2: Understanding Your Landscape

Current State Analysis

Infrastructure Assessment:
- Complete application portfolio review
- Infrastructure utilization measurement
- Network architecture and latency mapping
- Storage capacity and data gravity analysis

Financial Baseline:
- Current infrastructure TCO calculation
- Maintenance and support contract inventory
- License entitlement and portability review
- Operational cost allocation by workload

Compliance Inventory:
- Regulatory requirement cataloging
- Data classification scheme review
- Cross-border data flow documentation
- Audit and reporting obligation mapping

Stakeholder Alignment

Workshop Series:
- Executive vision and objectives alignment
- Business unit cloud ambition assessment
- IT operations readiness evaluation
- Security and compliance team engagement

Outcome Deliverables:
- Agreed strategic objectives and constraints
- Risk tolerance parameters by workload tier
- Success criteria and measurement approach
- Decision rights and governance framework

Workload Profiling

Profiling Dimensions:
- Compute pattern: Steady-state, burst, batch, event-driven
- Data characteristics: Volume, velocity, gravity, sensitivity
- Integration dependencies: Tight coupling, loose coupling, standalone
- Compliance classification: Regulated, sensitive, general
- Business criticality: Mission-critical, important, standard

Profiling Output:
- Workload catalog with 15+ attributes per application
- Dependency heat map showing migration sequence constraints
- Compliance overlay mapping data to regulatory requirements
- Initial placement hypothesis for validation

Phase 2: Strategy Development

Weeks 3-4: Designing Your Cloud Future

Cloud Provider Evaluation

Evaluation Criteria:
- Service breadth and depth for your workload types
- Geographic availability in your operating regions
- Compliance certifications relevant to your industry
- Pricing models and discount structures
- Networking and connectivity options
- Managed service maturity for key platforms

Provider Comparison Matrix:
- Feature-by-feature scoring across AWS, Azure, GCP
- Private cloud platform assessment (VMware, OpenStack, Nutanix)
- Specialty provider evaluation (Oracle Cloud, IBM Cloud)
- Regional and sovereign cloud options where required

Workload Placement Decision Framework

Decision Tree Inputs:
- Data sovereignty requirements → Determines geography
- Compliance classification → Determines provider eligibility
- Latency requirements → Determines proximity constraints
- Cost optimization profile → Determines consumption model
- Operational maturity → Determines managed vs. self-managed
- Integration dependencies → Determines co-location needs

Placement Categories:
- Public cloud (single or multi-provider)
- Private cloud (on-premise or hosted)
- Hybrid cloud (split across public and private)
- Edge computing (distributed processing)
- SaaS replacement (retire and replace)
- Retain on-premise (not suitable for cloud)

Compliance Architecture Design

Data Classification Framework:
- Tier 1: Regulated data (PII, PHI, PCI, financial)
- Tier 2: Sensitive internal data (IP, strategy, financials)
- Tier 3: Internal operational data
- Tier 4: Public or non-sensitive data

Compliance Controls by Tier:
- Encryption requirements (at-rest, in-transit, in-use)
- Access control models (RBAC, ABAC, zero-trust)
- Logging and audit trail specifications
- Data residency and sovereignty enforcement
- Retention and deletion policies

Phase 3: Economic Modeling

Week 4-5: Building the Financial Case

Total Cost of Ownership Analysis

Current State Costs (Annual):
- Infrastructure: Hardware, hosting, power, cooling
- Software: Licenses, maintenance, subscriptions
- Operations: FTE costs, managed services, outsourcing
- Risk: Disaster recovery, insurance, compliance

Future State Projections (3-Year):
- Cloud consumption costs by workload tier
- Migration one-time costs (tooling, labor, dual-running)
- New operational model costs (CloudOps FTEs, training)
- Optimized licensing under cloud agreements

Financial Analysis:
- Year-over-year cost comparison
- NPV and IRR calculations
- Payback period by migration wave
- Sensitivity analysis for usage variability

Cost Optimization Strategies

Right-Sizing:
- Match instance types to actual utilization
- Eliminate over-provisioned resources
- Typical savings: 20-35% of compute spend

Reserved Capacity:
- Commit to 1-3 year reservations for steady workloads
- Savings plans across instance families
- Typical savings: 30-60% vs. on-demand pricing

Spot/Preemptible Usage:
- Batch processing and fault-tolerant workloads
- Auto-scaling with spot instance integration
- Typical savings: 60-90% vs. on-demand pricing

Architecture Optimization:
- Serverless for event-driven workloads
- Managed services replacing self-managed infrastructure
- Auto-scaling eliminating idle capacity
- Storage tiering for lifecycle cost optimization

Phase 4: Implementation Planning

Weeks 5-6: Execution Roadmap

Migration Wave Design

Wave Planning Principles:
- Start with low-risk, high-value workloads
- Respect dependency chains and co-location needs
- Balance risk across waves (no all-critical-systems wave)
- Align with business calendar and change windows

Typical Wave Structure:
- Wave 0: Foundation (landing zones, networking, security)
- Wave 1: Non-production environments (dev, test, staging)
- Wave 2: Low-risk production (web servers, static content)
- Wave 3: Business applications (ERP, CRM integrations)
- Wave 4: Data-intensive workloads (databases, analytics)
- Wave 5: Regulated and mission-critical systems

Operational Model Design

CloudOps Framework:
- Team structure and skill requirements
- Tooling and automation platform selection
- Monitoring, alerting, and incident response
- Cost management and optimization processes
- Security operations and compliance monitoring

Governance Model:
- Cloud architecture review board charter
- Workload onboarding process
- Policy-as-code enforcement
- Exception and escalation procedures
- Continuous compliance validation

Cloud Deployment Patterns

Pattern 1: Hybrid Cloud

Best for: Regulated enterprises with mixed workload profiles

Architecture:
On-Premise Data Center ↔ Dedicated Connection ↔ Public Cloud
        ↓                        ↓                    ↓
  Regulated Systems      ExpressRoute/          General Workloads
  Legacy Applications    Direct Connect         Innovation Platform
  Low-Latency Workloads  Site-to-Site VPN       Burst Capacity

Use Cases:
- Financial services with data residency requirements
- Healthcare organizations with PHI constraints
- Manufacturing with OT/IT separation needs
- Government agencies with security classifications

Benefits:
- Regulatory compliance maintained
- Cloud innovation enabled for suitable workloads
- Investment protection for existing infrastructure
- Gradual migration path over 2-5 years

Pattern 2: Multi-Cloud

Best for: Organizations seeking provider diversification and best-of-breed services

Architecture:
Primary Provider (e.g., AWS) ← Workload Routing → Secondary Provider (e.g., Azure)
        ↓                           ↓                        ↓
  Compute & Storage          Cloud Management           Enterprise Apps
  Data Analytics             Platform (CMP)             Active Directory
  Machine Learning           Cost Optimization          Microsoft Ecosystem

Use Cases:
- Enterprises avoiding single-vendor dependency
- Organizations leveraging best-of-breed services per provider
- M&A scenarios inheriting multiple cloud footprints
- Geographic reach requiring region-specific providers

Benefits:
- Reduced vendor lock-in risk
- Leverage specialized services from each provider
- Negotiating leverage across vendors
- Geographic and compliance flexibility

Challenges to Manage:
- Increased operational complexity
- Cross-cloud networking and security
- Skill diversity requirements
- Tooling and governance standardization

Pattern 3: Edge Computing

Best for: Organizations with distributed operations and latency-sensitive workloads

Architecture:
Central Cloud ← Synchronization → Edge Locations
     ↓                ↓                 ↓
  Analytics       Data Aggregation    Local Processing
  Training        Model Updates       Real-Time Decisions
  Long-term Store  Selective Sync     Buffered Upload

Use Cases:
- Retail with in-store computing requirements
- Manufacturing with shop-floor data processing
- Healthcare with medical device edge processing
- Logistics with vehicle and warehouse computing

Benefits:
- Sub-10ms latency for critical operations
- Continued operation during connectivity disruptions
- Reduced bandwidth costs for high-volume data
- Local data processing for compliance reasons

Pattern 4: Sovereign Cloud

Best for: Organizations operating under strict national data sovereignty requirements

Architecture:
National/Regional Cloud ← Policy Enforcement → Global Operations
         ↓                       ↓                     ↓
   Citizen/Customer Data    Compliance Gateway     Business Logic
   Regulatory Reporting     Data Classification    Support Systems
   Government Interfaces    Audit Logging          Analytics (anonymized)

Use Cases:
- European organizations under GDPR and national regulations
- Government and defense with classified data handling
- Financial institutions under national banking regulations
- Healthcare providers under country-specific health data laws

Benefits:
- Full regulatory compliance by design
- Data sovereignty guarantee
- Local jurisdiction for legal matters
- National security requirement adherence

Providers:
- AWS GovCloud, Azure Government
- OVHcloud, T-Systems (Sovereign Cloud)
- Google Distributed Cloud
- National provider partnerships

Technology Expertise

Amazon Web Services (AWS)

Core Services Expertise:
- EC2, ECS, EKS, Lambda (compute)
- S3, EBS, EFS, FSx (storage)
- RDS, DynamoDB, Aurora, Redshift (data)
- VPC, Transit Gateway, Direct Connect (networking)

Migration Services:
- AWS Migration Hub for portfolio tracking
- AWS Application Migration Service (MGN)
- AWS Database Migration Service (DMS)
- AWS Transfer Family for file-based migrations

Cost Optimization Tools:
- AWS Cost Explorer and Budgets
- Savings Plans and Reserved Instances
- AWS Compute Optimizer for right-sizing
- S3 Intelligent Tiering for storage

Well-Architected Framework:
- Operational Excellence pillar assessment
- Security pillar evaluation
- Reliability design review
- Performance Efficiency optimization
- Cost Optimization analysis
- Sustainability consideration

Microsoft Azure

Core Services Expertise:
- Virtual Machines, AKS, Functions (compute)
- Blob Storage, Managed Disks, Azure Files (storage)
- SQL Database, Cosmos DB, Synapse Analytics (data)
- Virtual Network, ExpressRoute, Front Door (networking)

Migration Services:
- Azure Migrate for discovery and assessment
- Azure Site Recovery for lift-and-shift
- Azure Database Migration Service
- Azure Data Box for large-scale data transfer

Enterprise Integration:
- Azure Active Directory and Entra ID
- Microsoft 365 integration patterns
- Dynamics 365 connectivity
- Power Platform and low-code workloads

Cost Optimization Tools:
- Azure Cost Management + Billing
- Azure Advisor recommendations
- Reserved VM Instances and Savings Plans
- Azure Hybrid Benefit for Windows/SQL licensing

Google Cloud Platform (GCP)

Core Services Expertise:
- Compute Engine, GKE, Cloud Run, Cloud Functions (compute)
- Cloud Storage, Persistent Disk, Filestore (storage)
- Cloud SQL, BigQuery, Spanner, Firestore (data)
- VPC, Cloud Interconnect, Cloud CDN (networking)

Differentiated Capabilities:
- BigQuery for large-scale analytics workloads
- Anthos for hybrid and multi-cloud Kubernetes
- Vertex AI for machine learning platforms
- Chronicle for security analytics

Migration Services:
- Migrate for Compute Engine (M4CE)
- Database Migration Service
- Transfer Appliance for bulk data
- BigQuery Data Transfer Service

Cost Optimization:
- Committed Use Discounts (CUDs)
- Sustained Use Discounts (automatic)
- Preemptible and Spot VMs
- Active Assist recommendations

Private and Hybrid Cloud Platforms

VMware Cloud Foundation:
- vSphere for compute virtualization
- vSAN for software-defined storage
- NSX for network virtualization
- Aria for operations and automation

Nutanix:
- AHV hypervisor and HCI platform
- Nutanix Cloud Manager (NCM)
- Kubernetes on Nutanix
- Nutanix Cloud Clusters (NC2) on AWS/Azure

Red Hat OpenShift:
- Container platform for hybrid cloud
- OpenShift Virtualization for VM workloads
- Advanced Cluster Management for multi-cluster
- Ansible Automation Platform for operations

Industry Applications

Financial Services

Regulatory-Compliant Cloud Adoption

Regulatory Landscape

Basel III/IV technology risk requirements
MiFID II data recording and retention
PSD2 open banking infrastructure
DORA digital operational resilience
National banking authority guidelines

Cloud Strategy Focus

Workload Placement Priorities:
- Core banking: Private cloud or sovereign regions
- Risk analytics: Public cloud with burst capacity
- Customer channels: Public cloud with CDN
- Regulatory reporting: Hybrid with data residency controls

Compliance Architecture:
- Data residency enforcement per jurisdiction
- Encryption at rest and in transit (AES-256, TLS 1.3)
- Privileged access management with break-glass procedures
- Immutable audit logging with tamper-proof storage

Typical Outcomes:
- 25-35% infrastructure cost reduction
- Regulatory compliance maintained across all jurisdictions
- 3x faster deployment of new digital services
- Disaster recovery RTO improved from hours to minutes

Healthcare & Life Sciences

HIPAA-Compliant Cloud Strategy

Regulatory Framework

HIPAA Security Rule and Privacy Rule
FDA 21 CFR Part 11 for validated systems
HITRUST CSF certification requirements
State-specific health data privacy laws

Cloud Strategy Focus

Workload Placement Priorities:
- EHR systems: HIPAA-compliant cloud or hybrid
- Clinical analytics: Public cloud with BAA coverage
- Patient portals: Public cloud with WAF and DDoS protection
- Medical imaging: Cloud storage with DICOM gateway

Compliance Architecture:
- Business Associate Agreements with all cloud providers
- PHI data encryption and access control
- Audit logging meeting HIPAA requirements
- De-identification pipelines for analytics workloads

Typical Outcomes:
- 30-40% reduction in infrastructure costs
- HIPAA compliance maintained with cloud-native controls
- 50% faster deployment of telehealth services
- Improved disaster recovery for clinical systems

Government & Public Sector

Security-First Cloud Adoption

Regulatory Framework

FedRAMP authorization requirements
FISMA compliance obligations
ITAR and EAR for defense-related data
State and local government data protection requirements

Cloud Strategy Focus

Workload Placement Priorities:
- Classified systems: Government cloud or air-gapped
- CUI (Controlled Unclassified Information): FedRAMP High
- Citizen services: FedRAMP Moderate public cloud
- Internal operations: Standard public cloud

Security Architecture:
- IL4/IL5 cloud environments for sensitive workloads
- Zero-trust network architecture
- Continuous monitoring and ATO maintenance
- Supply chain risk management (SCRM)

Typical Outcomes:
- ATO acceleration from 18 months to 6 months
- 20-30% operational cost reduction
- Citizen service availability improvement to 99.95%
- Security incident response time reduced by 60%

Retail & E-commerce

Scalable, Global Cloud Strategy

Business Drivers

Seasonal traffic spikes (Black Friday, holidays)
Global expansion and localization
PCI DSS compliance for payment processing
Real-time inventory and supply chain visibility

Cloud Strategy Focus

Workload Placement Priorities:
- E-commerce platform: Public cloud with global CDN
- POS systems: Edge computing with cloud sync
- Analytics and personalization: Public cloud with ML services
- ERP and supply chain: Hybrid with on-premise core

Scalability Architecture:
- Auto-scaling for 10-50x traffic surges
- Multi-region deployment for global reach
- CDN integration for sub-100ms page loads
- Database read replicas for regional performance

Typical Outcomes:
- 99.99% availability during peak shopping events
- 40% infrastructure cost optimization through auto-scaling
- 60% faster international market entry
- PCI DSS compliance simplified with cloud-native controls

Implementation Challenges & Solutions

Technical Challenges

Data Migration Complexity

Challenge:
- Multi-terabyte databases with minimal downtime tolerance
- Complex data dependencies across systems
- Legacy data formats requiring transformation
- Data integrity validation requirements

Solutions:
- Database replication with cutover windows &lt;4 hours
- Incremental sync with change data capture
- ETL pipelines for format transformation
- Automated data validation and reconciliation tooling
- AWS DMS, Azure DMS, or GCP DMS for managed migration

Network Architecture Transformation

Challenge:
- On-premise network designs incompatible with cloud
- Latency-sensitive workloads requiring proximity
- Bandwidth constraints for large data transfers
- DNS and IP address management across environments

Solutions:
- Hub-and-spoke network architecture in cloud
- Dedicated interconnects (Direct Connect, ExpressRoute)
- WAN optimization and data compression
- Cloud-native DNS with hybrid resolution
- IP address management (IPAM) integration

Application Compatibility

Challenge:
- Legacy applications with hardware dependencies
- Licensing models that penalize cloud deployment
- Applications requiring specific OS versions
- Performance characteristics changing in virtualized environments

Solutions:
- Application assessment and remediation planning
- BYOL (Bring Your Own License) optimization
- Dedicated hosts for license-sensitive workloads
- Performance baseline and post-migration validation
- Phased modernization for incompatible applications

Organizational Challenges

Skills Gap

Challenge:
- Operations teams experienced in on-premise only
- Security teams unfamiliar with cloud-native controls
- Development teams not trained in cloud services
- Limited cloud architecture expertise

Solutions:
- Structured training programs (AWS, Azure, GCP certifications)
- Cloud Center of Excellence (CCoE) establishment
- Managed services for initial operations
- Paired working with cloud architects during migration
- Knowledge transfer embedded in every engagement phase

Governance and Control

Challenge:
- Loss of physical control perception
- Shared responsibility model confusion
- Cost management and sprawl prevention
- Policy enforcement across cloud environments

Solutions:
- Cloud governance framework with clear policies
- Landing zone architecture with guardrails
- Policy-as-code with automated enforcement
- FinOps practice for cost visibility and accountability
- Regular compliance scanning and drift detection

Change Management

Challenge:
- Organizational resistance to cloud adoption
- Fear of job displacement among operations staff
- Process changes required for cloud operations
- Cultural shift from capital to operational expenditure

Solutions:
- Executive sponsorship and clear vision communication
- Role transformation roadmaps (not elimination)
- Incremental process evolution alongside migration
- Quick wins to build confidence and momentum
- Regular stakeholder communication and celebration of milestones

Deliverables

Cloud Strategy Document

Executive summary with strategic recommendations
Cloud principles and decision framework
Provider selection rationale and guidelines
Governance model and operating procedures
Risk assessment and mitigation strategies

Workload Placement Matrix

Complete application inventory with cloud suitability scores
Recommended target platform per workload
Migration complexity and effort estimation
Dependency constraints and co-location requirements
Priority ranking and wave assignment

Compliance Guidebook

Regulatory requirement catalog by jurisdiction
Data classification scheme with handling rules
Security control mapping to cloud services
Audit procedures and evidence collection approach
Exception process for non-standard requirements

Financial Model

3-year TCO projection with current vs. future comparison
Migration investment breakdown by wave
Cost optimization opportunity quantification
ROI analysis with sensitivity scenarios
Budget allocation recommendations by fiscal year

Implementation Roadmap

Migration wave plan with timelines and milestones
Resource requirements by phase and skill type
Risk register with mitigation actions
Dependency map showing critical path
Quick win identification for early value delivery

Success Metrics & KPIs

Strategic Metrics

Cloud Adoption Progress:
- Workload migration completion: % of portfolio on target platform
- Cloud-native adoption rate: % of new workloads born in cloud
- Multi-cloud diversification: Provider distribution vs. target
- Technical debt reduction: Legacy footprint shrinkage over time

Compliance Health:
- Regulatory audit findings: Zero cloud-related citations
- Data residency compliance: 100% of regulated data correctly placed
- Security posture score: Cloud security benchmark improvement
- Policy compliance rate: >98% of resources meeting governance policies

Financial Metrics

Cost Optimization:
- Total infrastructure cost reduction: 25-40% target
- Cloud cost efficiency: Actual vs. budgeted spend ratio
- Reserved capacity utilization: >80% of commitments used
- Waste elimination: &lt;5% of cloud spend on idle resources

Business Value:
- Time-to-market for new services: 50% faster
- Infrastructure provisioning time: Minutes vs. weeks
- Disaster recovery cost: 40-60% reduction
- Operational FTE efficiency: 20-30% improvement

Operational Metrics

Performance:
- Application response time: Equal or better than pre-migration
- Availability SLA achievement: 99.9%+ for production workloads
- Recovery time objective: 4-hour RTO for critical systems
- Recovery point objective: &lt;1-hour RPO for critical data

Operational Excellence:
- Incident volume trend: Decreasing month-over-month
- Mean time to resolution: 30% improvement
- Change success rate: >95% of changes without incident
- Automation coverage: >80% of operational tasks automated

Investment & ROI

Engagement Investment

Cloud Strategy Development:
- Standard engagement (up to 100 workloads): $100K-$180K
- Enterprise engagement (100-500 workloads): $180K-$350K
- Large-scale engagement (500+ workloads): $350K-$600K

Included in All Engagements:
- Stakeholder workshops and alignment sessions
- Complete workload assessment and profiling
- Financial modeling and TCO analysis
- Compliance architecture design
- Implementation roadmap development
- 60-day post-delivery advisory support

Migration Investment Guidance

Typical Migration Costs:
- Per-workload migration: $5K-$50K depending on complexity
- Landing zone and foundation: $150K-$500K
- Network transformation: $100K-$300K
- Security and compliance implementation: $75K-$250K
- Training and enablement: $50K-$200K

Ongoing Cloud Operations:
- FinOps tooling and practice: $50K-$150K annually
- Cloud management platform: $25K-$200K annually
- Security monitoring: $40K-$180K annually
- Optimization services: $75K-$250K annually

ROI Timeline

Phase 1 - Quick Wins (Months 1-3):
- Right-sizing existing cloud resources: 15-25% immediate savings
- Reserved capacity purchases for steady workloads: 30-50% savings
- Eliminating unused resources: 5-10% waste reduction
- Expected value: $200K-$1M depending on current spend

Phase 2 - Migration Value (Months 4-12):
- On-premise cost avoidance from migrated workloads
- Reduced maintenance contract obligations
- Operational efficiency from managed services
- Expected value: 20-30% annual infrastructure cost reduction

Phase 3 - Optimization (Months 12-24):
- Cloud-native refactoring for key workloads
- Advanced automation reducing operational overhead
- FinOps maturity driving continuous optimization
- Expected value: Additional 10-15% cost optimization

Full ROI Achievement:
- Strategy engagement payback: 3-6 months
- Migration program payback: 12-18 months
- 3-year ROI: 200-400% on total cloud transformation investment

Next Steps

After cloud strategy development, clients typically proceed to:

Landing Zone Implementation — Build the secure, governed cloud foundation
Migration Execution — Move workloads according to the wave plan
Cloud-Native Modernization — Refactor applications to leverage cloud services
FinOps Practice Establishment — Ongoing cost optimization and governance

Cloud Strategy & Workload Positioning