Netuitive provides an adaptive monitoring and analytics platform for cloud infrastructure and web applications. Netuitive learns behaviors and utilizes pre-set dynamic policies that reduce the manual effort and human-guesswork typically required to monitor systems and applications. This unique technology enables IT operations and developers to automate performance analysis, detect relevant anomalies, and determine efficient capacity utilization.

• Create a Netuitive Element with the following data:

  • Element Name
  • Attributes
  • Tags
  • Metric Samples
  • Element relations
  • Location
  • Metric Tags

• Create a Netuitive Event with the following data

  • Element Name
  • Event Type
  • Title
  • Message
  • Level
  • Tags
  • Source

###### Setup the Client

ApiClient = netuitive.Client(api_key='<my_api_key>')

###### Setup the Element

MyElement = netuitive.Element()

###### Add an Attribute

MyElement.add_attribute('Language', 'Python')

###### Add an Element relation

MyElement.add_relation('my_child_element')

###### Add a Tag

MyElement.add_tag('Production', 'True')

###### Add a Metric Sample

MyElement.add_sample('cpu.idle', 1432832135, 1, host='my_hostname')

###### Add a Metric Sample with a Sparse Data Strategy

MyElement.add_sample('app.zero', 1432832135, 1, host='my_hostname', sparseDataStrategy='ReplaceWithZero')

###### Add a Metric Sample with unit type

MyElement.add_sample('app.requests', 1432832135, 1, host='my_hostname', unit='requests/s')

###### Add a Metric Sample with utilization tag

MyElement.add_sample('app.requests', 1432832135, 1, host='my_hostname', tags=[{'utilization': 'true'}])

###### Add a Metric Sample with min/max values

MyElement.add_sample('app.percent_used', 1432832135, 50, host='my_hostname', unit='percent', min=0, max=100)

###### Send the Samples

ApiClient.post(MyElement)

###### Remove the samples already sent

MyElement.clear_samples()

###### Create an Event

MyEvent = netuitive.Event(hst, 'INFO', 'test event','big old test message', 'INFO')

###### Send the Event

ApiClient.post_event(MyEvent)

###### Check that our local time is set correctly (returns True/False)

ApiClient.time_insync()

import netuitive

ApiClient = netuitive.Client(api_key='aaaa9956110211e594444697f922ec7b')

MyElement = netuitive.Element()

MyElement.add_attribute('Language', 'Python') MyElement.add_attribute('app_version', '7.0')

MyElement.add_relation('my_child_element')

MyElement.add_tag('Production', 'True') MyElement.add_tag('app_tier', 'True')

MyElement.add_sample('app.error', 1432832135, 1, host='appserver01') MyElement.add_sample('app.request', 1432832135, 10, host='appserver01')

ApiClient.post(MyElement)

MyElement.clear_samples()

MyEvent = netuitive.Event('appserver01', 'INFO', 'test event','big old test message', 'INFO')

ApiClient.post_event(MyEvent)

if ApiClient.time_insync():

print('we have time sync with the server')

Copyright 2015-2016 Netuitive, Inc. under [the Apache 2.0 license](LICENSE).