Profiling can also help with debugging, optimizing memory management, and concurrency tuning.
Profiling in Go
There are many tools for profiling in Go.
Thepprofpackage is part of theruntimepackage.
Thepprofpackage provides functionality for writing runtime profiling data in formats that thepprofvisualization tool can interpret.
execute the followingtoolcommand to access profiling results in various formats.
The command outputs the usage details about thepprofcommand.
CPU Profiling in Go
CPU profiling measures the time a program spends while executing functions.
CPU profiling is useful for identifying parts of code that consume the most CPU time.
you’ve got the option to start a memory profile with theWriteHeapProfilefunction.
TheWriteHeapProfilefunction takes in file instance and writes the profile data to the file.
you’re free to furtherhandle the error according to your requirement.
Block profiling is useful for identifying parts of the code that may cause blocking.
Trace profiling is useful for identifying performance bottlenecks and understanding the interactions between different program parts.
Thetracepackage provides functions for trace profiling.
This package is also a part of theruntimepackage.
Go Provides Tools for Formatting Source Code
Go also provides tools for formatting source code.
Alongside the profiling tools, you’re able to use the formatting tools to maintain code standards.
