πŸ“¦ Rehost Strategy Overview

Lift and Shift: Moving to Azure with minimal changes


🎯 What is Rehost (Lift & Shift)?

Rehosting is the process of moving applications from on-premises infrastructure to Azure cloud without modifying the application code. Think of it as relocating your office to a new building - you’re moving the same furniture and equipment, just to a better location.

πŸ—οΈ Core Concept

---
title: Rehost Migration Process
---
flowchart LR
    subgraph OnPrem [🏒 On-Premises]
        A[πŸ’» Physical Servers]
        B[πŸ—„οΈ Local Storage]
        C[🌐 On-Prem Network]
        D[πŸ“± Applications]
    end
    
    subgraph Azure [☁️ Azure Cloud]
        E[πŸ–₯️ Azure VMs]
        F[πŸ’Ύ Azure Disks]
        G[🌐 Virtual Network]
        H[πŸ“± Same Applications]
    end
    
    A -.->|Lift & Shift| E
    B -.->|Migrate| F
    C -.->|Recreate| G
    D -.->|Unchanged| H
    
    style OnPrem fill:#ffebee,stroke:#c62828
    style Azure fill:#e3f2fd,stroke:#1976d2

βœ… Key Benefits of Rehost

πŸš€ Speed & Simplicity

  • ⚑ Fastest migration path - typically weeks vs. months
  • πŸ”§ Minimal complexity - no code changes required
  • πŸ“‹ Predictable process - well-established methodologies
  • πŸ‘₯ Lower skill requirements - infrastructure focus vs. development

πŸ’° Cost Effectiveness

  • 🎯 Lower upfront investment in migration effort
  • πŸ’΅ Immediate cost benefits from cloud infrastructure
  • πŸ“Š Predictable migration costs - mainly infrastructure setup
  • ⏰ Faster time to value - quicker business benefits

πŸ›‘οΈ Risk Reduction

  • πŸ”’ Application stability - no code changes mean lower risk
  • πŸ“‹ Proven migration patterns - mature tooling and processes
  • πŸ”™ Easier rollback if issues occur
  • πŸ‘¨β€πŸ’Ό Business continuity - minimal disruption to operations

πŸ“ˆ Strategic Advantages

  • 🏁 Quick wins for cloud adoption initiatives
  • πŸŽ“ Learning opportunity for cloud operations
  • πŸ”„ Foundation for future optimization - can refactor later
  • βœ… Compliance maintenance - keeps existing security posture

🎯 Ideal Rehost Scenarios

βœ… Perfect Candidates

🏒 Legacy Enterprise Applications

Examples:
β”œβ”€β”€ πŸ“Š ERP Systems (SAP, Oracle)
β”œβ”€β”€ πŸ—„οΈ Legacy databases with complex schemas
β”œβ”€β”€ πŸ“ Document management systems
└── πŸ”§ Custom business applications with dependencies

⏰ Time-Critical Migrations

Scenarios:
β”œβ”€β”€ 🏒 Data center closures or lease expiration
β”œβ”€β”€ πŸ“‹ Compliance mandates with tight deadlines
β”œβ”€β”€ πŸ’° Budget cycles requiring quick cloud adoption
└── πŸ›‘οΈ Security incidents requiring rapid migration

πŸ› οΈ Complex Dependencies

Characteristics:
β”œβ”€β”€ πŸ”— Tightly coupled application components
β”œβ”€β”€ πŸ—„οΈ Shared databases across multiple applications
β”œβ”€β”€ 🌐 Complex networking requirements
└── πŸ” Specialized security configurations

🚫 Rehost Limitations

⚠️ What Rehost Doesn’t Provide

  • πŸ“ˆ Limited performance optimization - same application bottlenecks remain
  • πŸ’° Higher long-term costs - VM management overhead continues
  • πŸ”§ Ongoing maintenance burden - OS patching, security updates
  • πŸ“Š No cloud-native benefits - auto-scaling, managed services

πŸ›‘ Poor Rehost Candidates

❌ Applications That Shouldn’t Be Rehosted

Avoid Rehost for:
β”œβ”€β”€ πŸ•°οΈ End-of-life applications (retire instead)
β”œβ”€β”€ πŸ“± Modern web applications (refactor to PaaS)
β”œβ”€β”€ πŸ”„ Applications with frequent updates (benefit from DevOps)
└── πŸ’Έ Cost-sensitive workloads (PaaS often cheaper)

πŸ—οΈ Azure Rehost Architecture

πŸ–₯️ Core Azure Services for Rehost

---
title: Typical Rehost Architecture
---
flowchart TB
    subgraph Management [πŸ› οΈ Management Layer]
        A[πŸ” Azure Monitor]
        B[πŸ›‘οΈ Azure Security Center]
        C[πŸ”„ Azure Backup]
    end
    
    subgraph Compute [πŸ’» Compute Layer]
        D[πŸ–₯️ Azure VMs]
        E[πŸ“Š VM Scale Sets]
        F[βš–οΈ Load Balancer]
    end
    
    subgraph Storage [πŸ’Ύ Storage Layer]
        G[πŸ’Ώ Premium SSD]
        H[πŸ—„οΈ Standard Storage]
        I[πŸ“ File Shares]
    end
    
    subgraph Network [🌐 Network Layer]
        J[🏠 Virtual Network]
        K[πŸšͺ Network Security Groups]
        L[πŸ”— VPN Gateway]
    end
    
    Management --> Compute
    Compute --> Storage
    Compute --> Network
    
    style Management fill:#fff3e0,stroke:#f57c00
    style Compute fill:#e8f5e8,stroke:#388e3c
    style Storage fill:#f3e5f5,stroke:#7b1fa2
    style Network fill:#e3f2fd,stroke:#1976d2

πŸ› οΈ Service Mapping Guide

On-Premises Component Azure Equivalent Purpose
πŸ–₯️ Physical Servers Azure Virtual Machines Primary compute resources
πŸ’Ύ Local Storage Azure Managed Disks Persistent storage for VMs
🌐 Network Switches Virtual Network Network connectivity
πŸ”₯ Firewalls Network Security Groups Traffic filtering
βš–οΈ Load Balancers Azure Load Balancer Traffic distribution
πŸ“Š Monitoring Tools Azure Monitor Performance monitoring
πŸ”„ Backup Systems Azure Backup Data protection

πŸ“Š Rehost vs. Stay On-Premises

πŸ’° Cost Comparison Example

---
title: 3-Year Cost Comparison
---
xychart-beta
    title "Total Cost of Ownership (3 Years)"
    x-axis [Year 1, Year 2, Year 3]
    y-axis "Cost ($1000s)" 0 --> 200
    bar [150, 120, 120]
    line [100, 85, 85]

πŸ“ˆ Breakdown:

  • πŸ”΄ On-Premises Bar: Hardware refresh, maintenance, facility costs
  • πŸ”΅ Azure Rehost Line: VM costs with reserved instances and optimization

⚑ Performance Considerations

Aspect On-Premises Azure Rehost Notes
πŸš€ Performance Baseline Similar to baseline Network latency may vary
πŸ“ˆ Scalability Limited by hardware Manual scaling Can add VMs as needed
πŸ”„ Availability Hardware dependent 99.95% SLA Azure infrastructure reliability
πŸ›‘οΈ Security Your responsibility Shared responsibility Azure handles infrastructure security

🎯 Success Metrics

πŸ“Š Key Performance Indicators (KPIs)

βœ… Migration Success Metrics

  • ⏰ Migration timeline adherence (target: within planned schedule)
  • πŸ’° Budget compliance (target: within 10% of estimated costs)
  • πŸ”§ Application functionality (target: 100% feature parity)
  • πŸ“Š Performance baselines (target: maintain or improve response times)

πŸ“ˆ Post-Migration Benefits

  • πŸ’΅ Infrastructure cost reduction (typical: 20-30% Year 1)
  • ⚑ Improved availability (target: >99.9% uptime)
  • πŸ›‘οΈ Enhanced security posture (Azure security features)
  • πŸ”„ Backup and recovery improvement (target: RTO/RPO improvements)

πŸ“‹ Success Criteria Checklist

  • 🎯 All applications migrated without functionality loss
  • πŸ‘₯ User acceptance achieved with minimal complaints
  • πŸ“Š Performance benchmarks met or exceeded
  • πŸ›‘οΈ Security compliance maintained or improved
  • πŸ’° Cost targets achieved within tolerance
  • πŸ“š Knowledge transfer completed to operations team

πŸ”„ Post-Rehost Optimization

🎯 Quick Wins After Migration

πŸ’° Cost Optimization

Immediate Actions:
β”œβ”€β”€ 🏷️ Apply Azure Reserved Instances (save 30-70%)
β”œβ”€β”€ πŸ“Š Right-size VMs based on actual usage
β”œβ”€β”€ ⏰ Schedule non-production VMs (auto-shutdown)
└── πŸ—„οΈ Optimize storage tiers (hot/cool/archive)

⚑ Performance Optimization

Quick Improvements:
β”œβ”€β”€ πŸš€ Premium SSD for database VMs
β”œβ”€β”€ πŸ“Š Enable accelerated networking
β”œβ”€β”€ πŸ”„ Implement Azure Load Balancer
└── πŸ“ˆ Set up auto-scaling for predictable workloads

πŸš€ Future Modernization Path

---
title: Rehost to Modern Architecture Journey
---
flowchart LR
    A[πŸ“¦ Rehost<br/>IaaS VMs] --> B[πŸ”§ Optimize<br/>Right-size, Monitor]
    B --> C[πŸ”„ Containerize<br/>Docker + AKS]
    C --> D[☁️ Cloud-Native<br/>PaaS Services]
    
    A1[⏰ 0-3 months] --> A
    B1[⏰ 3-6 months] --> B
    C1[⏰ 6-12 months] --> C
    D1[⏰ 12+ months] --> D
    
    style A fill:#f3e5f5,stroke:#4a148c
    style B fill:#fff3e0,stroke:#f57c00
    style C fill:#e3f2fd,stroke:#1976d2
    style D fill:#e8f5e8,stroke:#388e3c

🎯 Key Takeaways

  • πŸ“¦ Rehost is the fastest path to cloud adoption with minimal risk
  • πŸ’° Provides immediate infrastructure benefits without code changes
  • 🎯 Ideal for legacy applications and time-critical migrations
  • πŸ”§ Limited optimization benefits compared to cloud-native approaches
  • πŸš€ Serves as foundation for future cloud modernization
  • πŸ“Š Success depends on proper planning and realistic expectations

πŸ“– Next Steps: