I have often spoken about work, especially during the discussions of Maverick Software Development.
In physics I learned:
work = force X distance (w = f*d)
However, what about work when we are talking about a career?
work = duty + character
The work one has done at the end of the day, the quality of the work, the results of the work, and the market for which the work is done is reflected by the worker's understanding of duty and their individual character.
Think about that.
Monday, February 14, 2011
Monday, January 03, 2011
Performance Optimizations Harden Code
Performance optimizations harden code for specific situations. Once the code is running then optimization is considered. The code is profiled for very specific situations. Inefficiencies are identified and if these inefficiencies are addressed with true refactoring then the code base isn't necessarily hardened. However if the inefficiencies require rearchitecturing, either at the micro level or the macro, the code is hardened.
For instance, if the inefficiency is simply changing a for loop, either by removing nested loops or moving invariants outside of the loop then this is simple refactoring.
If the inefficiency has to be addressed with caching and object lifespan management then every new feature will experience additional cost of development in order to work in this more complex system. This type of optimization is done through architectural changes. Other optimizations that require rearchitecture include the introduction of threading, asynchronous calls, lazy loading, etc.
Sometimes new features will conflict so much with the optimized architecture that either the new feature is not added or the optimization code has to be unwound, untangled, and removed. From my experience trying to remove an optimization is too expensive. By their nature the optimization is highly coupled.
For instance, if the inefficiency is simply changing a for loop, either by removing nested loops or moving invariants outside of the loop then this is simple refactoring.
If the inefficiency has to be addressed with caching and object lifespan management then every new feature will experience additional cost of development in order to work in this more complex system. This type of optimization is done through architectural changes. Other optimizations that require rearchitecture include the introduction of threading, asynchronous calls, lazy loading, etc.
Sometimes new features will conflict so much with the optimized architecture that either the new feature is not added or the optimization code has to be unwound, untangled, and removed. From my experience trying to remove an optimization is too expensive. By their nature the optimization is highly coupled.
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