alq666

import simplejson as json
import sys 

#{
#  "results": 91,
#  "rows": [
#    {
#      "ec2": {
#        "instance_action": "none",
#        "instance_id": "i-f9069c96",

alq666

BEGIN {
    print "ts,payloads,points,read,transform,kafka,redis"
}

# 2013-09-16 02:30:04,537 INFO dd.sobotka.core (core.py:186) - sobotka_loop: 429.2ms - processed 3 payloads (0.0/ms) 237 points (0.6/ms) - read:0.0ms, transform:56.7ms, kafka_write:39.7ms redis_write:294.8ms
/redis_write/ {
    ts = $1 "T" $2
    match($0, /processed ([[:digit:]]+) payloads.*([[:digit:]]+) points.*- read:[[:digit:].]+)ms, transform:([[:digit:].]+)ms, kafka_write:([[:digit:].]+)ms redis_write:([[:digit:].]+)ms/, arr);
    print substr(ts, 1, length(ts) - 4), arr[1], arr[2], arr[3], arr[4], arr[5], arr[6];
}

alq666

gorets:1|[email protected]
glork:320|ms
gaugor:333|g
uniques:765|s

alq666

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

alq666

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)

alq666

{% 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': {

alq666

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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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

alq666

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

alq666

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;