![]() Profiling can be done during development, testing, or in production to gather information about how the application behaves under different loads and conditions. Profiling aims to identify and fix performance issues that can slow down the application or cause it to crash. The performance data collected by a profiler can include information such as method call counts, memory usage, CPU usage, thread activity, and garbage collection statistics. Profiling can be done using various types of profilers, such as sampling profilers, instrumenting profilers, memory profilers, JVM profilers, thread profilers, and remote profilers. Java profiling is the process of gathering performance data about a Java application in order to identify and diagnose performance bottlenecks and memory leaks. Let’s look at what profiling is in detail and also go through the ways in which you can maintain the performance of your application high and robust. So what do we do then? Well, profiling is a good shot! These are irky situations, and we would like to avoid them at best. You can probably think of those situations wherein you are getting redirected to the homepage while you were halfway through filling out your passenger details for your journey or those error messages that pop up over and over again while accessing a product on the web. This monitoring helps a long way in retaining your product's marketability and improving customer satisfaction. ![]() When you are building an application with Java (or any other language, for that matter), there are certain aspects that you need to monitorconstantly.
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