When I work with enterprise clients, I often see the pattern:
From my decades of development and optimization (including projects where I achieved ~100× speedups), the smarter path is:
In one of our projects optimizing a data warehousing system, the raw processing speed was insufficient. Rather than immediately increasing server capacity, we conducted detailed profiling. We identified inefficient algorithms, redundant queries, and poorly optimized loops that were slowing the system.
In one print-pipeline project I optimized code flows, thread-pools and data retrieval, resulting in fewer servers required for the same throughput.
Don’t assume the solution is always more hardware or cloud capacity — code and architecture audit often deliver the biggest ROI.
#CloudCost #Refactoring #SoftwareEngineering #InfrastructureAudit #EnterpriseIT #CostOptimization #SystemPerformance