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Editorial Team
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Editorial Team
Asked: May 13, 20262026-05-13T13:05:02+00:00 2026-05-13T13:05:02+00:00

Ahhhw, every time is so frustrating.. We have a dedicated server in our hosting

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Ahhhw, every time is so frustrating..

We have a dedicated server in our hosting company, and everytime i have to write down a new app (or an add to an pre-existing app), i use to ‘lose’ some time to optimize the code for many behaviors (reducing the db query, optimizing the db structure, reducing the bandwith, etc..) depending on what the app is supposed to do.

Obviously, is the point is not that i write bad code and then rebuild it, its just that after the project is complete, i allways find somethings that could be done better.

And everytime, if my boss catch me doing this, he say ‘Your wasting your time! if the application need more resources, we buy more RAM, more CPU, or more bandwith!’.

What is the best (and simplyest) way to explain he that optimization is still important, and that is not so easy or automagically upgrating the hardware of an (production!) server?

EDIT: im not talking just about database optimization, but every aspect of an application

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  1. Editorial Team
    Editorial Team
    2026-05-13T13:05:02+00:00Added an answer on May 13, 2026 at 1:05 pm

    Keep detailed notes and time sheets the next time you make a server move/upgrade, and protocol every minute of work that arose from it (including things in the weeks after). Then you’ll have hard evidence that upgrading is expensive, and optimizations help delay the investment.

    In the current situation, you might be able to do something with benchmarks and statistics along the line of “without my optimization, the server will be at 90% capacity with X number of users. With my optimization, we can cater for Y users more, before we have to get a new machine.”

    On the other hand, the line between optimization and over-optimization is thin. While writing code that doesn’t waste resources is good craftsmanship and should be a human right, RAM and disk space are awfully cheap these days. Optimizations also tend to make code more complicated, and harder to maintain for others. When you control your own hardware, code optimization may not always be the top goal.

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