This paper describes Brillio’s end-to-end approach to migrating applications and data from AWS to Google Cloud Platform to address rising data volumes, performance demands, costs, and security needs, while reducing migration failure risk from rigid legacy architectures and inefficient data handling. It outlines a phased framework: discovery and scoping to catalog AWS applications, data, and stakeholders; pre-planning and in-depth analysis to assess GCP compatibility, required changes, performance metrics, and cost-savings potential; strategy definition using pilots and tailored paths such as lift-and-shift or replatforming; replatforming to move workloads into GCP services and storage such as BigQuery and Cloud Storage; re-engineering through code refactoring and GCP-native security and fe

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