Azure Blob Storage tiers are designed to optimize cost based on access frequency. However, when frequently accessed data is stored in the Cool or Archive tiers—either due to misconfiguration, default settings, or cost-only optimization—transaction costs can spike. These tiers impose significantly higher charges for read/write operations and metadata access compared to the Hot tier.
This misalignment is common in analytics, backup, and log-processing scenarios where large volumes of object-level operations occur regularly. While the per-GB storage rate is lower, the overall cost becomes higher due to frequent access. This inefficiency is silent but accumulates rapidly in active workloads.