Create a Embeddable package to monitor and profile go tools/apps

[tarunKoyalwar]

Proposed Changes

• To easily detect and share performance issues we need a library that effectively profiles application and monitors itself without any external dependency

### Tasks
- [ ] Env Based Input ( we can reuse existing logic in pprof package but cpuprofile might need to be improved)
- [ ] When this package is embedded it should launch a seperate process ( with appropriate syscall attributes to make it completely indedepent of current process ) and monitor/profile and save resulting data in cache directory . similar to screen command (Ref: https://github.com/projectdiscovery/utils/issues/346)
- [ ] Detection logic should be based on below logic 
- [ ] Add Endpoint in PDTM API to support uploading and generating uuid of these profiles for effective sharing and ease of analysis

Detection Logic ( Task 3)

• continious monitering of Process MAX RSS with time as key
• profiling on every tick with time as key
• by plotting MAX RSS over time we can find inflection points and filter out IMP/CRITICAL profiles and share them instead of sharing all xGB of profiles

References

• OOM killed when using the nuclei SDK with the standard templates nuclei#4756
• memory leak fixes and optimizations nuclei#4680

[stan-threatmate]

What worked for me while debugging nuclei is this approach. It will dump the goroutines stack trace and memory allocations on a regular interval until stopped.

• pprof.WriteHeapProfile()
• runtime.ReadMemStats(&memStat)
• pprof.Lookup("goroutine").WriteTo(f, 0)

Running these on an interval will create a new dump file every X minutes which might be what you need. You can then inspect the memory and goroutine stack trace using go tool pprof file.dump