Many enterprise budgets treat infrastructure cost as an operations line item, separate from engineering. But from my decades of hands-on development I know that every line of code drives cost—inefficient code means bigger servers, more instances, higher bills.
A global IT services firm used analytics and cloud-resource optimization tools and found a potential 34% cost savings in their cloud workloads.
In a distributed order-processing/print-workflow system, rewriting inefficient modules reduced processing time and compute needs so significantly that predicted server expansions were cancelled.
Developers, architects and ops need to collaborate. Code efficiency and infrastructure cost are two sides of the same coin.
#DevOps #Refactoring #CloudCost #SoftwareArchitecture #EnterpriseIT #CostOptimization #PerformanceEngineering