Reverse Engineering of Serverless Functions

In your handler function:

from Inspector import *

def myFunction(request):
  
  # Initialize the Inspector and collect data.
  inspector = Inspector()
  inspector.inspectAll()

  # Add a "Hello World!" message.
  inspector.addAttribute("message", "Hello " + request['name'] + "!")

  # Return attributes collected.
  return inspector.finish()

Example Output JSON:

The attributes collected can be customized by changing which functions are called. For more detailed descriptions of each variable and the functions that collect them, please read the full documentation.

{
	"version": 0.2,
	"lang": "python",
	"cpuType": "Intel(R) Xeon(R) Processor @ 2.50GHz",
	"cpuModel": 63,
	"vmuptime": 1551727835,
	"uuid": "d241c618-78d8-48e2-9736-997dc1a931d4",
	"vmID": "tiUCnA",
	"platform": "AWS Lambda",
	"newcontainer": 1,
	"cpuUsrDelta": "904",
	"cpuNiceDelta": "0",
	"cpuKrnDelta": "585",
	"cpuIdleDelta": "82428",
	"cpuIowaitDelta": "226",
	"cpuIrqDelta": "0",
	"cpuSoftIrqDelta": "7",
	"vmcpustealDelta": "1594",
	"frameworkRuntime": 35.72,
	"message": "Hello John Doe!",
	"runtime": 38.94
}

Metrics Collected

uuid:            A unique identifier assigned to a container if one does not already exist.
newcontainer:    Whether a container is new (no assigned uuid) or if it has been used before.
vmuptime:        The time when the system started in Unix time.
cpuUsrDelta:      Time spent normally executing in user mode.
cpuNiceDelta:     Time spent executing niced processes in user mode.
cpuKrnDelta:      Time spent executing processes in kernel mode.
cpuIdleDelta:     Time spent idle.
cpuIowaitDelta:   Time spent waiting for I/O to complete.
cpuIrqDelta:      Time spent servicing interrupts.
cpuSoftIrqDelta:  Time spent servicing software interrupts.
vmcpustealDelta:  Time spent waiting for real CPU while hypervisor is using another virtual CPU.
contextSwitchesDelta: Number of context switches.

Sample Architecture and Results: [AWS]

Sample Results

Author

Ashutosh Neupane
adhinneupane2020@gmail.com