How Cloud Data Gravity Is Reshaping Architecture

In this episode of Cloud Computing with Fexingo, Lucas and Luna explore the economic and architectural reality of data gravity. With cloud storage costs dropping while compute remains expensive, moving terabytes of data between regions or providers creates hidden friction that many teams ignore. We break down a specific case where a mid-sized fintech company saved two million dollars annually by redesigning their data pipeline to respect locality rather than chasing centralized processing. The discussion covers the trade-offs between global consistency and regional efficiency, using concrete examples from major infrastructure providers. If you are managing a growing dataset, understanding how mass attracts compute is essential for your next budget cycle.

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