Question 1

How do I profile memory allocations with pkg/profile?

Accepted Answer

Use `profile.Start(profile.MemProfileAllocs)` to enable allocation profiling. This generates a profile file that can be analyzed with `go tool pprof` to track memory usage and identify leaks.

Question 2

Is pkg/profile better than using Go's native pprof directly?

Accepted Answer

pkg/profile is better for simplicity and quick setup, as it reduces boilerplate code. However, native pprof offers more control and advanced features like goroutine profiling, making it preferable for complex or custom profiling needs.

Question 3

How can I disable the shutdown hook in pkg/profile?

Accepted Answer

Pass the `profile.NoShutdownHook` option to `profile.Start()`. This prevents automatic signal handling, allowing you to manage application shutdown and profile writing manually for more control.

Question 4

Does pkg/profile support goroutine profiling?

Accepted Answer

No, pkg/profile does not include built-in support for goroutine profiling. For that, you need to use Go's native pprof package directly and set up the profiling endpoints or use other tools.

Question 5

What's the performance overhead of using pkg/profile?

Accepted Answer

The overhead is minimal, mainly from the defer statement and file I/O when writing profiles. In most cases, it's negligible, but for performance-critical applications, consider enabling profiling only when needed via flags or environment variables.

Question 6

How do I change where pkg/profile saves the profile files?

Accepted Answer

Use the `profile.ProfilePath` option, for example, `profile.Start(profile.ProfilePath("./profiles"))` to save files in a specific directory. By default, profiles are written to the current working directory.

Question 7

Can I use pkg/profile in production environments?

Accepted Answer

Yes, but with caution. Enable it only during debugging sessions or via environment variables to avoid unnecessary overhead and file writes. It's designed for intermittent profiling, not continuous monitoring.

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