As organizations adopt cloud-native architectures, logging costs have surged due to escalating data volumes, vendor pricing models, and inefficient practices. This paper examines the root causes of rising logging expenses (e.g., unstructured data, over-retention) and presents a framework for cost optimization without compromising observability. We evaluate three key strategies: (1) sampling...
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