Phase 1: Deep Assessment
Before moving a single byte, a thorough audit of your existing infrastructure is required. We map dependencies, identify legacy systems, and choose the right cloud model (IaaS, PaaS, or SaaS).
Phase 2: Staged Execution
A 'lift and shift' approach often fails. We advocate for staged migrations, moving non-critical workloads first to validate the architecture, followed by core databases using real-time replication to ensure zero downtime.
Phase 3: Cloud Optimization
Once in the cloud, the work isn't over. We implement auto-scaling, containerization (Docker/Kubernetes), and cost-management alerts to ensure you only pay for the compute you actually use.