Cloud storage may be cheap, but processing, moving, and managing data often isn't. This article examines seven common architectural patterns that inflate cloud bills, including small-file fragmentation, cross-region joins, excessive retention windows, poor storage tiering, and unrestricted queries. It argues that modern data engineers must think like FinOps practitioners, optimizing not just for performance and scale but also for long-term infrastructure economics.
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