Cloud migration projects fail more often than they succeed — not because of technical impossibility, but because of poor planning, unclear scope, and underestimated complexity. The teams that succeed treat migration as an engineering project with the same rigour they would apply to a major product feature.
Phase 1: Discover and Assess
Map every system you intend to migrate. For each: what does it do, what does it depend on, what depends on it, and what are its uptime requirements? This assessment is not glamorous work, but it is the single most important determinant of migration success.
- Identify all dependencies — internal and external APIs, databases, file systems, queues.
- Classify each system by migration complexity: lift-and-shift, re-platform, or re-architect.
- Identify any licensing or compliance constraints that affect cloud deployment.
- Establish baseline performance metrics to compare against post-migration.
Phase 2: Sequence the Migration
Migrate in dependency order — systems with no dependencies first, systems with many dependents last. Start with the least critical workloads to build confidence and refine your process before touching production traffic.
Phase 3: Choose the Right Migration Pattern
- Rehost (lift and shift): Move virtual machines to cloud instances with minimal changes. Fast and low risk, but does not capture cloud-native efficiency gains.
- Replatform: Move to managed services (RDS instead of self-managed MySQL, S3 instead of file servers). Moderate effort with meaningful operational savings.
- Re-architect: Redesign components as cloud-native services (serverless, containers, managed queues). Highest effort, highest long-term benefit.
Phase 4: Validate and Cut Over
Run both environments in parallel for a validation period. Route a percentage of traffic to the cloud environment and compare performance metrics, error rates, and latency against the baseline. Cut over completely only when the cloud environment has demonstrated sustained equivalence.
Planning a cloud migration?
Asquarify has migrated legacy systems to AWS, Azure, and GCP. We manage the complexity so you can focus on your product.
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