Which code is suitable for profiling in Guidewire?

Profiling in Guidewire refers to the practice of measuring the performance characteristics of code, such as execution time and resource usage. Instrumented code is specifically designed with additional tracking measures to provide insights into its behavior during runtime. This type of code typically includes various metrics and logging statements that allow developers to analyze how the code is performing under different conditions.

Using instrumented code is essential for profiling because it gives a clear picture of performance bottlenecks, potential memory leaks, and other issues that could hinder application efficiency. The instrumentation can provide data on method call frequencies, execution times, and resource utilization, which are crucial for optimizing the application.

Uninstrumented code lacks these performance insights, making it unsuitable for profiling, as it does not provide the necessary metrics to evaluate performance. Non-executable code, such as comments or inactive code snippets, clearly cannot be profiled since it doesn't run in a way that can be evaluated. Focusing only on frontend code ignores the performance of backend processes, where most data handling and processing occur, thus failing to capture a complete view of the application's performance.

Therefore, using instrumented code is the most effective way to conduct profiling, allowing developers to make informed decisions about performance tuning and optimization in Guidewire applications.