Dev Tools · 20h ago
Databricks Pipeline 'Success' Masked $2,300 Cost Overrun
A senior engineer's Databricks MERGE job ran without errors for 11 days, costing $2,300 instead of the expected $40 due to missing Z-ordering and partition pruning. The job scanned 3.8 TB every 30 minutes, yet the green status icon never indicated a problem. This highlights how production data pipelines can silently fail through cost, performance, or data quality issues despite technical success.
Meridian48 take
The story underscores a systemic blind spot: in data engineering, 'it ran' is not the same as 'it ran well,' and cost efficiency should be treated as a correctness metric.
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The Day I Realized "It Ran Successfully" Means Nothing in Databricks Production →
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