How Data Compression Saves Cloud Spend copertina

How Data Compression Saves Cloud Spend

How Data Compression Saves Cloud Spend

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 Most engineering teams treat data compression as a technical afterthought, but it is actually one of the most direct levers for controlling cloud storage costs. In this episode, we look at how shifting from uncompressed row-based formats to columnar compressed storage can reduce infrastructure spend by up to forty percent without changing application logic. We examine the trade-offs between CPU overhead and storage savings, using a specific case study of a mid-sized fintech platform that reduced its monthly AWS S3 bill by two million dollars simply by changing how it archived historical transaction logs. The conversation covers when to compress, which algorithms like LZ4 or Zstd make sense for different workloads, and why ignoring compression is essentially leaving money on the table in today's high-bandwidth cloud environment. #CloudComputing #DataEngineering #CostOptimization #StorageEfficiency #FexingoBusiness #BusinessPodcast #TechStrategy #Infrastructure #DataArchitecture #CompressionAlgorithms #AWS #CloudSpend #DatabaseTech #EngineeringLeadership #FinTech #DataGovernance #OperationalExcellence #LucasAndLuna Keep every episode free: buymeacoffee.com/fexingo
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