With this pypi module by importing one can save lines and directly call the decorator. It uses psutil code to create a decorator and then uses it to get the memory distribution. Upload monitor.py to the router, and install it. Memory profiler from PyPI is a python library module used for monitoring process memory. 19008 RAVBg64.exe 0.000 0.22 MB 8368 GoogleCrashHandler64.exe 0.000 0.18 MB 3168 SystemSettings.exe 0.000 0.15 MB 10608 MySQLInstallerConsole.exe 0.000 0.09 MB 0 System Idle Process 90.625 0.01 MB Memory Percentage() Status Created Time Threads PIds 4600 7.60 running 20210215 - 16:38:45 29 2652 6.01 running 20210215 - 16:38:39 46 12452 3.86. run_signals_worker ( 'consumer-name' ) def process_record ( self, record ): self. Make a Python script named monitor.py, and implement the periodical device status check function in the script. read () # return Response ( data = results ) ExampleĬustom Monitors Kinesis Consumer Monitor from process_monitor import ConsumerMonitor class M圜onsumer : def _init_ ( self ): self.

run_signals_worker ( 'process-name' ) API - Monitor from process_monitor import Reader ( '/check-process' ) def check_process (): monitor_reader = Reader ( redis_client = Redis (. Usage Consumer from process_monitor import Monitor class MyProcess : def _init_ ( self ): self. Memory profiler from PyPI is a python library module used for monitoring process memory. redis connection parameters to be passed directly to the redis client.It triggers a signal every n seconds, so that a health check/monitoring API can view There are a couple of options, 1: the more crude but obvious would be to do some text processing against: os.popen ('tasklist').read () 2: A more involved option would be to use pywin32 and research the win32 APIs to figure out what processes are running. A python tool that utilizes redis to keep track of long-running processes.

Python process monitor