How Allegro Reduced the Cost of Running a GCP Dataflow Pipeline by 60%
Briefly

Jakub Demianowski explained how Allegro's data pipeline optimization led to an estimated 60% cost reduction, showcasing a thorough analysis of resource utilization.
Allegro’s analysis showed mean CPU utilization was 85%, suggesting resources were not underutilized, leading to the investigation of other areas for cost savings.
To enhance cost savings, Demianowski changed to the t2d-standard-8 VM type, which provided the best price-to-performance ratio, yielding a 32% reduction in costs.
The comparison of storage types revealed that using SSDs resulted in cost benefits over HDDs, illustrating the importance of storage choice in overall pipeline costs.
Read at InfoQ
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