Enterprise IT often turns to scaling cloud capacity when processing slows down—but what if the root issue lies in code inefficiencies rather than compute power? In my 25+ years as a developer I’ve repeatedly seen that targeted refactoring beats “just add more servers”.
A multi-cloud cost-optimization study found that a large organization with $60 M+ annual cloud spend improved provisioning time from 15 days to 2 days, thanks to rightsizing, automation and governance. softtek
My angle: On a high-volume data processing project I dismantled inefficient loops, improved batching and thread-pooling, resulting in high throughput without additional infrastructure.
Enterprise takeaway: Think of code as a cost driver. Infrastructure scaling is expensive; smarter code delivers long-term savings.
Hashtags: #CodeEfficiency #CloudCost #Refactoring #EnterpriseIT #SoftwareEngineering #FinOps #PerformanceOptimization