The JVM is a sophisticated runtime that, for most programs, performs excellently with no tuning at all, its just-in-time compiler optimises hot code, and its garbage collector manages memory automatically. But for demanding applications, large heaps, strict latency requirements, high throughput, you sometimes need to adjust how the JVM behaves, and that is done through command-line flags that configure heap sizes, select and tune the garbage collector, and control other runtime parameters.
Performance tuning is the disciplined practice of measuring an application's behaviour, identifying what limits it, latency from GC pauses, throughput from allocation pressure, memory exhaustion, and then adjusting code or JVM configuration to address the proven limit. The key JVM flags set the maximum and initial heap size (-Xmx, -Xms), choose a garbage collector (G1, ZGC, and others), and enable diagnostics, but the overriding principle is that tuning must be driven by measurement, not by superstition or copied settings.
Understanding performance tuning matters because at scale the JVM's defaults are not always optimal, and the wrong settings, or premature tuning, can hurt more than help. Knowing what the important flags do, how GC choice trades latency against throughput, how to size a heap sensibly, and above all how to tune empirically rather than by guess is what lets you make a demanding Java application meet its performance goals, and avoid the common trap of tuning the wrong thing or making things worse.