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Cloud Migration Services: Strategies, Timeline, and What It Actually Costs

A practical guide to cloud migration services in 2026. The 6Rs framework, how to sequence migration, what it costs, and how to choose the right provider.

Viprasol Tech Team
March 28, 2026
10 min read

Cloud Migration Services: Strategies, Timeline, and What It Actually Costs | Viprasol Tech

Cloud Migration Services: Strategies, Timeline, and What It Actually Costs

Cloud migration is not a single project — it is a programme of work that can take months to years depending on the complexity of the existing estate. Companies that treat it as a one-time "move everything" project typically underestimate cost, overrun timelines, and end up with cloud infrastructure that costs more than their on-premise equivalent.

The 6 Rs of Cloud Migration

Every workload has a migration strategy. AWS popularised the 6Rs framework:

StrategyDescriptionWhen to UseRelative Cost
RetireDecommission — no migration neededUnused or duplicated systemsSaves cost
RetainKeep on-premise for nowComplex compliance, mainframeLow
Rehost (lift-and-shift)Move VM as-is to cloudSpeed priority, short-termLow-Medium
ReplatformMinor optimisations without code changeAdd managed DB, containeriseMedium
RepurchaseMove to SaaS equivalentCRM → Salesforce, email → SESVariable
RefactorRedesign for cloud-nativeMaximum ROI, long-termHigh

Most large migrations use a mix: lift-and-shift first for speed, then refactor high-value workloads over time.

Migration Sequence

Phase 1: Discovery and Assessment (2–4 weeks)
├── Inventory all workloads
├── Map dependencies between systems  
├── Classify by migration strategy (6Rs)
└── Identify quick wins (retire/retain decisions)

Phase 2: Foundation (4–8 weeks)
├── Set up landing zone (VPC, accounts, IAM)
├── Establish networking (VPN/Direct Connect)
├── Set up monitoring and logging baseline
└── Deploy CI/CD pipeline for migrated workloads

Phase 3: Wave 1 — Low-risk workloads (4–8 weeks)
├── Dev/test environments first
├── Stateless web applications
└── Validate runbooks and automation

Phase 4: Wave 2 — Production workloads (8–20 weeks)
├── Databases (most complex, highest risk)
├── Business-critical applications
└── Cutover with rollback plan

Phase 5: Optimisation (ongoing)
├── Right-sizing instances
├── Reserved instance purchases
└── Refactoring for cloud-native services

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Database Migration (The Hard Part)

Database migration is where most cloud migrations hit problems. Schema changes, compatibility issues, downtime requirements, and data integrity validation are all non-trivial.

# AWS DMS (Database Migration Service) — continuous replication approach
# 1. Set up source and target endpoints
# 2. Create replication instance
# 3. Run full load + CDC (Change Data Capture) for near-zero downtime

# Zero-downtime cutover sequence:
# 1. Start DMS replication (full load + ongoing CDC)
# 2. Verify replication lag < 1 second
# 3. Put application in read-only mode (1-2 minute window)
# 4. Wait for replication to catch up completely
# 5. Update connection strings
# 6. Restore read-write mode
# 7. Monitor for 30 minutes
# 8. Stop DMS replication

Cost Expectations

Migration ScopeTimelineProfessional Services Cost
1–5 workloads (small business)4–8 weeks$20K–$60K
10–30 workloads (mid-market)3–6 months$80K–$250K
50+ workloads (enterprise)6–18 months$300K–$2M+
Single complex application2–4 months$30K–$100K

Infrastructure cost changes: typically neutral to slightly higher initially (lift-and-shift), 20-40% lower after optimisation (right-sizing, reserved instances, architectural improvements).


Planning a cloud migration? Viprasol handles cloud migrations with zero-downtime cutover plans. Contact us.

See also: AWS Development Services · DevOps Consulting Company Guide

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Viprasol Tech Team

Custom Software Development Specialists

The Viprasol Tech team specialises in algorithmic trading software, AI agent systems, and SaaS development. With 100+ projects delivered across MT4/MT5 EAs, fintech platforms, and production AI systems, the team brings deep technical experience to every engagement. Based in India, serving clients globally.

MT4/MT5 EA DevelopmentAI Agent SystemsSaaS DevelopmentAlgorithmic Trading

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