Memory Profiling
Memory profiling is a software development technique used to analyze and monitor the memory usage of a program during its execution. It involves tracking memory allocations, deallocations, and leaks to identify inefficiencies, such as excessive memory consumption or memory leaks that can degrade performance or cause crashes. Profilers provide insights into heap usage, object lifetimes, and garbage collection behavior, helping developers optimize memory management.
Developers should use memory profiling when building applications that require high performance, handle large datasets, or run in resource-constrained environments like mobile devices or servers. It is essential for debugging memory-related issues, such as leaks in long-running processes or web applications, and for optimizing memory usage in languages like Java, Python, or C++ to reduce costs and improve scalability. Use cases include game development, backend services, and embedded systems where efficient memory use is critical.