In most embedded systems, memory is a scarce commodity that developers must carefully monitor and optimize. Otherwise, undetected memory leaks can lead to system crashes or undeterministic behavior, sub-optimal memory allocation can degrade performance, excessive memory usage can inflate Bill of Materials costs, and memory errors in untested code can cause failures in the field. Using a practical approach, this white paper explores how embedded developers can use memory analysis to monitor, optimize, and debug embedded applications.