Memory profiling is a crucial technique used in software development to analyze and optimize an application’s memory usage. By monitoring how memory is allocated and de-allocated during runtime, developers can identify issues such as memory leaks, unwanted memory allocations, and peak memory consumption. This process enhances the performance and robustness of applications, ensuring they run efficiently, especially in resource-constrained environments. Various tools and libraries, such as memory-profiler in Python and pprof in Go, facilitate this analysis, providing insights that help developers make informed decisions about memory management and optimization strategies.