Adding Monitoring Parameters

The tool performs trend prediction and threshold exception detection only for metrics in os_exporter. You can add new monitoring parameters. The procedure is as follows:

1. Compile a function for obtaining metrics in os_exporter of task/os_exporter.py, and add the function to the output result list. For example:

   @staticmethod
   def new_metric():
       return metric_value
   
   def output(self):
       result = [self.cpu_usage(), self.io_wait(), self.io_read(),
                 self.io_write(), self.memory_usage(), self.disk_space(), self.new_metric()]
       return result
   

2. In os_exporter of table.json, add the new_metric field to CREATE table and add the field type information to INSERT. For example:

   "os_exporter": {
     "create_table": "create table  os_exporter(timestamp bigint, cpu_usage text, io_wait text, io_read text, io_write text, memory_usage text, disk_space text, new_metric text);",
     "insert": "insert into os_exporter values(%d, \"%s\", \"%s\", \"%s\", \"%s\", \"%s\", \"%s\", \"%s\");",

3. Add the upper or lower limit of the metric to the task/metric_task.conf file. For example:

   [os_exporter]
   new_metric_minimum = 0
   new_metric_maximum = 10