tmcgann / datadogpy

The Datadog Python library

The Datadog Python library

Datadogpy is a collection of tools suitable for inclusion in existing Python projects or for development of standalone scripts. It provides an abstraction on top of Datadog's raw HTTP interface and agent's StatsD metrics aggregation server, to interact with Datadog and efficiently report events and metrics.

• Library Documentation: http://datadogpy.readthedocs.org/en/latest/
• HTTP API Documentation: http://docs.datadoghq.com/api/
• DatadogHQ: http://datadoghq.com

See CHANGELOG.md for changes.

Installation

To install from pip:

pip install datadog

To install from source:

python setup.py install

Quick Start Guide

# Configure the module according to your needs
from datadog import initialize

options = {
    'api_key':'api_key',
    'app_key':'app_key'
}

initialize(**options)

# Use Datadog REST API client
from datadog import api

title = "Something big happened!"
text = 'And let me tell you all about it here!'
tags = ['version:1', 'application:web']

api.Event.create(title=title, text=text, tags=tags)


# Use Statsd, a Python client for DogStatsd
from datadog import statsd

statsd.increment('whatever')
statsd.gauge('foo', 42)

# Or ThreadStats, an alternative tool to collect and flush metrics, using Datadog REST API
from datadog import ThreadStats
stats = ThreadStats()
stats.start()
stats.increment('home.page.hits')

Threadsafety

DogStatsd and ThreadStats are threadsafe.