Phase 1: Discovery & Assessment
- โ Inventory all servers, applications, and databases currently in use
- โ Map application dependencies and integration points between systems
- โ Assess internet capacity and latency requirements for cloud workloads
- โ Review software licence portability, can current licences move to cloud?
- โ Calculate current hosting costs including hardware depreciation, power, cooling, space
- โ Identify compliance and data residency requirements (DPDPA, industry regulations)
- โ Get a cloud cost estimate using Azure Pricing Calculator or AWS TCO Calculator
Phase 2: Choose Your Migration Strategy
Select the right approach for each workload, not all applications should be migrated the same way:
- Rehost (Lift & Shift): Move as-is to cloud VMs. Fastest, lowest risk. Start here for most workloads.
- Replatform: Minor improvements, such as moving to a managed database service. Better long-term performance.
- Refactor: Re-architect for cloud-native. Best long-term cost but highest effort, save for later phases.
- Retire: Decommission redundant workloads. Most migrations find 20 to 30% of servers to retire.
Phase 3: Pre-Migration Preparation
- โ Set up cloud landing zone with correct governance, RBAC, and cost management
- โ Configure identity (Azure Entra ID or AWS IAM) and SSO with existing directory
- โ Set up ExpressRoute (Azure) or AWS Direct Connect if capacity requires dedicated connectivity
- โ Establish backup and disaster recovery targets in cloud before migration begins
- โ Test connectivity between on-premises and cloud environments thoroughly
- โ Communicate migration schedule to all business teams well in advance
Phase 4: Migration Execution
- โ Migrate non-critical workloads first, learn and refine the process before production systems
- โ Use Azure Migrate or AWS Application Migration Service for VM replication
- โ Run parallel environments (old and new) for minimum 5 business days before cut-over
- โ Schedule cut-over during low-traffic window, typically weekend or overnight
- โ Test all application functions and integrations before decommissioning on-premises servers
- โ Monitor cloud resource metrics continuously for first 72 hours post cut-over
Phase 5: Post-Migration Improvement
- โ Right-size VM instances after 2 weeks of real production usage data
- โ Implement auto-scaling for variable workloads to avoid over-provisioning
- โ Enable Reserved Instances or Savings Plans for stable workloads, saves 40 to 60%
- โ Set up cost alerts and budgets in your cloud console
- โ Decommission on-premises hardware only after 30-day ongoing support period
Common Mistakes to Avoid
- โ Migrating without a dependency map, one missed dependency causes post-migration failures
- โ Over-sizing cloud VMs, start with the measured size, scale up only if needed
- โ Ignoring Reserved Instances, running on-demand pricing for months is expensive
- โ No rollback plan, always keep on-premises running for 30 days post-migration
- โ Skipping the post-migration improvement phase, right-sizing can save an additional 20 to 30%
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