Thoughts on performance & optimization
Read OriginalThe article critiques common mistakes in software performance optimization, emphasizing that developers must first understand their system's true bottlenecks. It advocates for a scientific method—forming hypotheses, measuring resource usage (CPU, memory, disk I/O), and using factual data to guide improvements—rather than making assumptions. The author stresses that optimization efforts are wasted if they don't address the actual constraints.
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