A python program to grab the system stats. It use the threashold file [config] to generate the alerts. It has a publisher, to publish the stats. And an Subscriber to grab the data.

Structure of Config file

{ "alert": { "cpu": { "critical": 90, "warning": 80, "repeat": 3 }, "memory": { "virtual":{ "critical": 40, "warning": 50, "repeat": 3 }, "swap": { "critical": 35, "warning": 45, "repeat": 3 } }, "disk": { "critical": 10, "warning": 30, "repeat": 3 }, "processes": [{ "name": "<<app_name>>", "start_script": "<<process_start_script>>" }, { "name": "<<app_name_2>>", "start_script": "<<process_start_script_2>>" }] }, "emailTo": "<<email_address>>" }

How to run

1. pyhton main.py {{time_interval}} {{absolute_config_file_path}}

   Param:

   1. 'time_interval' is in int. It is optional. Default value is **3**
   2. 'absolute_config_file_path' is a **JSON** config file required to grab the metrics for system, app, and network.
       It is optional. The default file is under /resource/monitor.cfg.json.
   

2. pyhton main.py

   to start the flask server python src/server/StatsAPI.py

   NOTE: - the src/lib foldres contains all the lib to except 'psutil' to run the application.

3. The sample service response http://<host_name>:5150/stats NOTE: The Ip changes depend on the system it runs.

{ "virtual_memory_stat": "62.4", "time": "1486362932.03", "docker": [ { "admiring_davinci": { "memory_stats": { "fields": { "usage": 164147200, "limit": 2096275456 } }, "cpu_usage": { "fields": { "values": 0 } }, "network_stats": { "fields": { "tx_dropped": 0, "rx_packets": 84, "rx_bytes": 14618, "tx_errors": 0, "rx_errors": 0, "tx_bytes": 5265, "rx_dropped": 0, "tx_packets": 46 } } } }, { "goofy_goldberg": { "memory_stats": { "fields": { "usage": 26066944, "limit": 2096275456 } }, "cpu_usage": { "fields": { "values": 0 } }, "network_stats": { "fields": { "tx_dropped": 0, "rx_packets": 77, "rx_bytes": 4532, "tx_errors": 0, "rx_errors": 0, "tx_bytes": 1250, "rx_dropped": 0, "tx_packets": 17 } } } } ], "hostname": "local", "disk_stat": "28.4", "swap_memory_stat": "62.4", "cpu_stat": "16.0" }

Dependent libraries

1. psutils
2. zmq
3. docker
4. flask