There are several tools and techniques available to profile CPU and memory usage during Go program execution. Here are a few options:
pprof: Go's built-in profiling tool, pprof, can be used to profile CPU and memory usage. You can import the net/http/pprof package and expose profiling endpoints in your Go program, then use the pprof command-line tool to collect and analyze the profiles. For example, to profile CPU usage, you can run: go tool pprof http://localhost:6060/debug/pprof/profile.
runtime/pprof package: You can also use Go's runtime/pprof package to programmatically profile CPU and memory usage within your Go program. By calling the StartCPUProfile and StopCPUProfile functions, you can profile CPU usage. Similarly, you can use the WriteHeapProfile function to profile memory usage.
top and htop: If you prefer a command-line tool, you can use system monitors like top (Linux/Unix) or htop (Linux) to monitor CPU and memory usage. These tools provide real-time information about the system's resource usage, including individual process usage.
Visual Studio Code: If you are using Visual Studio Code as your IDE, you can utilize the Go extension's built-in CPU and memory profiling support. It allows you to launch and analyze CPU and memory profiles directly within the editor.
Third-party tools: Additionally, there are various third-party profiling tools available for Go, such as pprofiler, gops, and go-torch. These tools provide advanced features and visualization options for analyzing CPU and memory profiles.
Choose the tool or method that best suits your needs and preferences. Remember to profile your program under realistic workloads to get accurate usage data.