Memory
Profiling is an underrated skill among software-engineers and it’s often overlooked by even very skilled developers. Profiling a program, is essentially measuring CPU and memory usage to spot bottlenecks, memory leaks, and other performance issues. Knowing how profile a program and interpret the result can direct us to where exactly our program is suffering from poor performance, and focus our efforts on optimizing those specific parts. In this article, we’ll be profiling a real-world Go program. We’ll learn how to interpret the results, draw conclusions, and optimize the program accordingly.
