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query_to_df <- function(api_key, application_key, query, from_t, to_t) {
  res <- getForm('https://app.datadoghq.com/api/v1/query', api_key=api_key, application_key=application_key, from=from_t, to=to_t, query=query)
  parsed <- fromJSON(res)
  series <- parsed[['series']]
  timeseries <- series[[1]]
  pointlist <- timeseries[['pointlist']]
  timestamps <- to_epoch(sapply(pointlist, '[', 1))
  values <- sapply(pointlist, '[', 2)
  return(data.frame(timestamps, values))
}

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Creating log file /Users/alq/.datadog-agent/ddagent-install.log.....Done
Operating System: Darwin
Setting up virtual environment.....  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current
                                 Dload  Upload   Total   Spent    Left  Speed

  0     0    0     0    0     0      0      0 --:--:-- --:--:-- --:--:--     0
 26  112k   26 30857    0     0   155k      0 --:--:-- --:--:-- --:--:--  155k
100  112k  100  112k    0     0   441k      0 --:--:-- --:--:-- --:--:--  440k
New python executable in /Users/alq/.datadog-agent/venv/bin/python
Installing setuptools...............................done.
Installing pip.....................done.
Done
Installing tornado 2.4.1 using pip.....Wheel installs require setuptools >= 0.8 for dist-info support.

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#!/usr/bin/env python
"""
Nagios plugin to check PostgreSQL 9 streaming replication lag.

Requires psycopg2 and nagiosplugin (both installable with pip/easy_install).

MIT licensed:

    Copyright (c) 2010 Jacob Kaplan-Moss. All rights reserved.

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SELECT nspname,
       relname,
       pg_size_pretty(pg_relation_size(C.oid)) AS "size"
       FROM pg_class C
  LEFT JOIN pg_namespace N
    ON (N.oid = C.relnamespace)
 WHERE nspname NOT IN ('pg_catalog', 'information_schema')
 ORDER BY pg_relation_size(C.oid) DESC
 LIMIT 40;

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{
  "events": [],
  "requests": [
    {
      "q": "aws.elb.latency{host:elb_name}*sum:aws.elb.request_count{host:elb_name}"
    }
  ],
  "viz": "timeseries"
}

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Installation

To install, place datadog.py in your callback plugins directory. If you don't yet have one, run:

mkdir -p plugins/callback

Then place the following in your ansible.cfg file:

[defaults]

callback_plugins = ./plugins/callback

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RCfile for "top with windows"           # shameless braggin'
Id:a, Mode_altscr=0, Mode_irixps=1, Delay_time=3.000, Curwin=0
Def     fieldscur=AEHIOQTWKNMbcdfgjplrsuvyzX
        winflags=64441, sortindx=10, maxtasks=0
        summclr=1, msgsclr=1, headclr=3, taskclr=1
Job     fieldscur=ABcefgjlrstuvyzMKNHIWOPQDX
        winflags=62777, sortindx=0, maxtasks=0
        summclr=6, msgsclr=6, headclr=7, taskclr=6
Mem     fieldscur=ANOPQRSTUVbcdefgjlmyzWHIKX
        winflags=62777, sortindx=13, maxtasks=0

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{% set pkgrepo = {
    'Debian': {
              "managed": True,
              "humanname": "Datadog Agent",
              "name": "deb http://apt.datadoghq.com/ unstable main",
              "keyserver": "keyserver.ubuntu.com",
              "keyid": "C7A7DA52",
              "file": "/etc/apt/sources.list.d/datadog.list"
    },
    'RedHat': {

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The Challenge

1. Sign up for Datadog, get the agent reporting metrics from your local machine. Bonus question- what is the agent?

2. Submit an event via the API.

3. Get an event to appear in your email inbox (the email address you signed up for the account with)

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default_overrides({
  :datadog => {
    :api_key => "...",
    # ...
  }
})