alq666

#!/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.

alq666

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.

alq666

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))
}

alq666

my comments in bold

@datadoghq - Overall well done! Here's some feedback:

Signup/User process

• when someone invites you to their datadog/team, you get an email but because you are already registered you can't join their team. Especially annoying for freelancers that work for multiple customers but don't have an email account at the customer site
• disable a user is scary (will this delete it, can I re-create it?); a warning or ? next to it would help for fast understanding
• if the user you invite does not have it's gmail activated yet (google for apps), when the email is added it's send out (but doesn't reach it of course). There is no way of re-sending the invite from the admin side
• the forcing of registering at least one agent/integration is really annoying. if you signup through an ipad or the person signing up (like billing) does not have any way to go past that screen. So you wonder , am I registered or not? In our case the person installed the mac agent from it's laptop to get it going. N

alq666

{
  "events": [],
  "requests": [
    {
      "q": "avg:system.load.norm.1{blah} by {host}",
      "stacked": false
    },
    {
      "q": "avg:system.load.norm.1{blah} by {host}",
      "stacked": false

alq666

{
    "board_bgtype": "board_graph",
    "board_title": "Elasticsearch Screenboard",
    "height": 160,
    "id": 3,
    "template_variables": [
        {
            "default": "*",
            "name": "scope"
        }

alq666

Shortcut          num_series (= N)	method	asc / desc
----------------------------------------------------------
topN		  5, 10, 15, 20	   	mean	desc
topN_max	  5, 10, 15, 20	    	max	desc
topN_min	  5, 10, 15, 20	    	min	desc
topN_last	  5, 10, 15, 20	    	last	desc
topN_area	  5, 10, 15, 20	    	area	desc
topN_norm	  5, 10, 15, 20	    	norm	desc
bottomN		  5, 10, 15, 20	    	mean	asc
bottomN_max	  5, 10, 15, 20	    	max	asc

alq666

{
    "board_bgtype": "board_graph",
    "board_title": "High-level Screenboard with Datadog",
    "height": 143,
    "id": 2938,
    "template_variables": [
        {
            "default": "*",
            "name": "scope"
        }

alq666

#!/bin/bash
source /Users/alq/Code/workspace/bin/activate
dog event post "Found $SPLUNK_ARG_1 events in splunk" "Matching $SPLUNK_ARG_2 based on $SPLUNK_ARG_5:, from report $SPLUNK_ARG_4. More details at $SPLUNK_ARG_6."

alq666

BEGIN {
    print "tstamp,buffers,pct_buffer,added,removed,recycled,write,sync,total,synced,longest,average"
}
# 2014-06-27 03:17:15.366 UTC "checkpoint complete: wrote 21504 buffers (1.4%); 0 transaction log file(s) added  0 removed  0 recycled; write=8.298 s  sync=2.225 s  total=10.544 s; sync files=247  longest=0.174 s  average=0.009 s"
{
    split($19, w, /=/);
    split($21, s, /=/);
    split($23, t, /=/);
    split($26, f, /=/);
    split($27, l, /=/);