Depending on your spend on infrastructure and the business revenue, if the problem is not causing the business to increase spending on infrastructure each month

Depending on your spend on infrastructure and the business revenue, if the problem is not causing the business to increase spending on infrastructure each month or if there’s little to no rise in user complaints over slow downs, then the “optimization” isn’t worth it and is then premature. Most commonly, If the costs increase as the users increase it then becomes an issue with efficiency and the scaling is not good nor sustainable which can easily destroy a startup. In this case, the Linux kernel is directly critical for applications in AI, real time systems, networking, databases, etc and performance optimizations and makes a massive difference. This article is a great example of properly using compiler optimizations to significantly improve performance of the service. [0] [0] https://medium.com/@utsavmadaan823/how-we-slashed-api-response-times-by-50-with-go-compiler-optimizations-3c2592c2d241 https://medium.com/@utsavmadaan823/how-we-slashed-api-respon...