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@michaelwilde, Co-CTO, Splunk




 Exploring
Machine Data
Hi... I work at Splunk.
We stare at data all day.
WTF is Machine
   Data?!
is it   logs?
is it   netflow?
is it TWEETS?
Aaaahhh, well... kind of.
a simple way to describe
the exhaust from technology


      *or a big giant pain in the butt.
Machine data is the BIGgest
             DATA
 Machine-generated data is one of the
                                                              GPS,
    fastest growing, most complex                            RFID,
and most valuable segments of big data                  Hypervisor,
                                                      Web Servers,
                                                  Email, Messaging
                                              Clickstreams, Mobile,
                                        Telephony, IVR, Databases,
                                     Sensors, Telematics, Storage,
                              Servers, Security Devices, Desktops


        Volume | Velocity | Variety | Variability
no, not us
we’re just
nice guys
who want
show you
cool stuff
building a service?

you are a producer and
  consumer of data

   using an app?
Seth Rabinowitz              James Rodmell
      CEO                        CTO

  Location-­‐Based	
  Messaging	
  
  and	
  Intelligence	
  For	
  Your	
  App	
  
  and	
  Your	
  Customers
DATE/TIME
                        Data! Good!
                                    DEVICE ID
2011-11-06 11:57:31,65,00027d27-ae02-627d-a79a-fa0004d3a347,40.75496,-73.963853,60

2011-11-06 12:17:32,65,00027d27-ae02-627d-a79a-fa0004d3a347,40.755001,-73.963886,70

2011-11-06 12:37:33,65,00027d27-ae02-627d-a79a-fa0004d3a347,40.754982,-73.963849,75
                                                                LAT/LONG
2011-11-06 12:57:34,65,00027d27-ae02-627d-a79a-fa0004d3a347,40.754984,-73.963883,85

2011-11-06 13:17:35,65,00027d27-ae02-627d-a79a-fa0004d3a347,40.754941,-73.9639,90

2011-11-06 13:37:36,65,00027d27-ae02-627d-a79a-fa0004d3a347,40.754948,-73.963874,90

2011-11-06 13:57:37,65,00027d27-ae02-627d-a79a-fa0004d3a347,40.754931,-73.963892,95

                                                       BATTERY STRENGTH
2011-11-06 14:17:38,50,00027d27-ae02-627d-a79a-fa0004d3a347,40.755232,-73.963522,100

2011-11-06 14:37:33,65,00027d27-ae02-627d-a79a-fa0004d3a347,40.754979,-73.9639,100
show them something
    cool already!
Oh, real quick. Did you check in



  or tweet #splunk #interop


                    ...please
All this data can be pretty cool
        and empowering
except one little




PROBLEM     Text
alot of it looks like this
0,1
13/Apr/2011 08:52:53,Info,Teardown,ASA-session-6-302014,TCP,
192.168.2.16,192.168.1.6,(empty),(empty),1100,43025,43025_tcp,
(empty),0,1
13/Apr/2011 08:52:55,Info,Teardown,ASA-session-6-302014,TCP,
192.168.2.75,192.168.1.6,(empty),(empty),1048,135,epmap,(empty),
0,1
13/Apr/2011 08:52:55,Info,Teardown,ASA-session-6-302014,TCP,
192.168.2.75,192.168.1.6,(empty),(empty),1049,43025,43025_tcp,
(empty),0,1
13/Apr/2011 08:52:55,Info,Teardown,ASA-session-6-302014,TCP,
192.168.2.75,192.168.1.6,(empty),(empty),1051,135,epmap,(empty),
0,1
13/Apr/2011 08:52:55,Info,Teardown,ASA-session-6-302014,TCP,
192.168.2.75,192.168.1.6,(empty),(empty),1052,43025,43025_tcp,
(empty),0,1
13/Apr/2011 08:52:55,Info,Teardown,ASA-session-6-302014,TCP,
192.168.2.64,192.168.1.6,(empty),(empty),1694,135,epmap,(empty),
and we’re expected to talk to
         it like this
select (select max(answer.answer) from answer where answer.member_id in (
select member_id from team_members where project_id in ( select project_id
from project where Business_stream='Upstream' and stage='Appraise' and
project_id in (select project_id from projectextra where subteam<>1 ) ) ) and
answer.page_id=page.page_id) as thinl, (select max(avgscore) from task_project
where task_project.project_id not in (select project_id from projectextra
where subteam=1 ) and task_project.project_id in (select project_id from
project where stage='Appraise' and Business_stream = 'Upstream') and
task_project.page_id=page.page_id) as bmax, (select max(answer) from answer
where answer.page_id=page.page_id) as datamax, (select avg(avgscore) from
task_project where project_id=1 and task_project.page_id=page.page_id) as
projavg, (select avg(avgscore) from task_project where project_id not in
(select project_id from projectextra where subteam=1) and
task_project.page_id=page.page_id) as companyavg, (select avg(avgscore) from
task_project where project_id not in (select project_id from projectextra
where subteam=1) and project_id in (select project_id from project where
Business_stream = 'Upstream') and task_project.page_id=page.page_id) as
businessavg, page.* from page,riverorder where page.category_name='Business
Boundaries' and stage_name='Appraise' and
riverorder.category_name=page.category_name order by
riverorder.riverorder,page.order_id select (select max(answer.answer) from
answer where answer.member_id in ( select member_id from team_members where
project_id in ( select project_id from project where
It could be better.
yes? better is good!
{[-­‐]
	
  	
  checkin	
  :	
  {[-­‐]
	
  	
  	
  	
  badges	
  :	
  [],
	
  	
  	
  	
  created	
  :	
  1331454784,
	
  	
  	
  	
  geolat	
  :	
  "30.2640941786",
	
  	
  	
  	
  geolong	
  :	
  "-­‐97.7414819408",
	
  	
  	
  	
  mayor	
  :	
  {[-­‐]
	
  	
  	
  	
  	
  	
  type	
  :	
  "nochange"
	
  	
  	
  	
  },
	
  	
  	
  	
  primarycategory	
  :	
  {[-­‐]
	
  	
  	
  	
  	
  	
  fullpathname	
  :	
  "Food:American	
  Restaurants",
	
  	
  	
  	
  	
  	
  iconurl	
  :	
  "https://foursquare.com/img/categories/food/default.png",
	
  	
  	
  	
  	
  	
  id	
  :	
  "4bf58dd8d48988d14e941735", Text
	
  	
  	
  	
  	
  	
  nodename	
  :	
  "American	
  Restaurants"
	
  	
  	
  	
  },
	
  	
  	
  	
  timezone	
  :	
  "America/Chicago",
	
  	
  	
  	
  user	
  :	
  {[-­‐]
	
  	
  	
  	
  	
  	
  gender	
  :	
  "male"
	
  	
  	
  	
  },
	
  	
  	
  	
  venue	
  :	
  {[-­‐]
	
  	
  	
  	
  	
  	
  id	
  :	
  "4d752b1bba682d43e7563876",
	
  	
  	
  	
  	
  	
  name	
  :	
  "CNN	
  Grill	
  @	
  SXSW	
  (Max's	
  Wine	
  Dive)"
	
  	
  	
  	
  }
	
  	
  }
}                                                                                      readable, ya think?
failed password | timechart count
          by client_ip


        The languages to talk to data are
          getting better for us humans
Guys.. come on! Go
back to the data please.
Need data?

a simple way to describe a
     massive problem



A friend in Boulder can help
The Social Media API




Jud Valeski
Co-Founder, CEO
Sometimes machine data is
helpful to those OTHER than IT
Someone with
  a different
 perspective
  sees your
 exhaust as a
source of fuel
please, please, please
   CALL THE VP OF
    ENGINEERING
at all of your vendors.
DEMAND REALTIME DATA
IN A STREAM OVER THE WEB
      IN JSON FORMAT
Hey audience!
We still have a few
    minutes.

  What questions
  might you have
 been saving until
this exact moment?
Thanks.

                                                        @michaelwilde

                                                         Michael Wilde
                                                         Splunk Ninja
                                                        Co-CTO, Splunk
Who else sends you on your way with a cute dog photo?

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Interop - Exploring Machine Data

  • 1. @michaelwilde, Co-CTO, Splunk Exploring Machine Data
  • 2. Hi... I work at Splunk.
  • 3. We stare at data all day.
  • 4.
  • 5. WTF is Machine Data?!
  • 6. is it logs?
  • 7. is it netflow?
  • 10. a simple way to describe the exhaust from technology *or a big giant pain in the butt.
  • 11. Machine data is the BIGgest DATA Machine-generated data is one of the GPS, fastest growing, most complex RFID, and most valuable segments of big data Hypervisor, Web Servers, Email, Messaging Clickstreams, Mobile, Telephony, IVR, Databases, Sensors, Telematics, Storage, Servers, Security Devices, Desktops Volume | Velocity | Variety | Variability
  • 12.
  • 13. no, not us we’re just nice guys who want show you cool stuff
  • 14. building a service? you are a producer and consumer of data using an app?
  • 15. Seth Rabinowitz James Rodmell CEO CTO Location-­‐Based  Messaging   and  Intelligence  For  Your  App   and  Your  Customers
  • 16. DATE/TIME Data! Good! DEVICE ID 2011-11-06 11:57:31,65,00027d27-ae02-627d-a79a-fa0004d3a347,40.75496,-73.963853,60 2011-11-06 12:17:32,65,00027d27-ae02-627d-a79a-fa0004d3a347,40.755001,-73.963886,70 2011-11-06 12:37:33,65,00027d27-ae02-627d-a79a-fa0004d3a347,40.754982,-73.963849,75 LAT/LONG 2011-11-06 12:57:34,65,00027d27-ae02-627d-a79a-fa0004d3a347,40.754984,-73.963883,85 2011-11-06 13:17:35,65,00027d27-ae02-627d-a79a-fa0004d3a347,40.754941,-73.9639,90 2011-11-06 13:37:36,65,00027d27-ae02-627d-a79a-fa0004d3a347,40.754948,-73.963874,90 2011-11-06 13:57:37,65,00027d27-ae02-627d-a79a-fa0004d3a347,40.754931,-73.963892,95 BATTERY STRENGTH 2011-11-06 14:17:38,50,00027d27-ae02-627d-a79a-fa0004d3a347,40.755232,-73.963522,100 2011-11-06 14:37:33,65,00027d27-ae02-627d-a79a-fa0004d3a347,40.754979,-73.9639,100
  • 17. show them something cool already!
  • 18. Oh, real quick. Did you check in or tweet #splunk #interop ...please
  • 19. All this data can be pretty cool and empowering
  • 21. alot of it looks like this
  • 22. 0,1 13/Apr/2011 08:52:53,Info,Teardown,ASA-session-6-302014,TCP, 192.168.2.16,192.168.1.6,(empty),(empty),1100,43025,43025_tcp, (empty),0,1 13/Apr/2011 08:52:55,Info,Teardown,ASA-session-6-302014,TCP, 192.168.2.75,192.168.1.6,(empty),(empty),1048,135,epmap,(empty), 0,1 13/Apr/2011 08:52:55,Info,Teardown,ASA-session-6-302014,TCP, 192.168.2.75,192.168.1.6,(empty),(empty),1049,43025,43025_tcp, (empty),0,1 13/Apr/2011 08:52:55,Info,Teardown,ASA-session-6-302014,TCP, 192.168.2.75,192.168.1.6,(empty),(empty),1051,135,epmap,(empty), 0,1 13/Apr/2011 08:52:55,Info,Teardown,ASA-session-6-302014,TCP, 192.168.2.75,192.168.1.6,(empty),(empty),1052,43025,43025_tcp, (empty),0,1 13/Apr/2011 08:52:55,Info,Teardown,ASA-session-6-302014,TCP, 192.168.2.64,192.168.1.6,(empty),(empty),1694,135,epmap,(empty),
  • 23. and we’re expected to talk to it like this
  • 24. select (select max(answer.answer) from answer where answer.member_id in ( select member_id from team_members where project_id in ( select project_id from project where Business_stream='Upstream' and stage='Appraise' and project_id in (select project_id from projectextra where subteam<>1 ) ) ) and answer.page_id=page.page_id) as thinl, (select max(avgscore) from task_project where task_project.project_id not in (select project_id from projectextra where subteam=1 ) and task_project.project_id in (select project_id from project where stage='Appraise' and Business_stream = 'Upstream') and task_project.page_id=page.page_id) as bmax, (select max(answer) from answer where answer.page_id=page.page_id) as datamax, (select avg(avgscore) from task_project where project_id=1 and task_project.page_id=page.page_id) as projavg, (select avg(avgscore) from task_project where project_id not in (select project_id from projectextra where subteam=1) and task_project.page_id=page.page_id) as companyavg, (select avg(avgscore) from task_project where project_id not in (select project_id from projectextra where subteam=1) and project_id in (select project_id from project where Business_stream = 'Upstream') and task_project.page_id=page.page_id) as businessavg, page.* from page,riverorder where page.category_name='Business Boundaries' and stage_name='Appraise' and riverorder.category_name=page.category_name order by riverorder.riverorder,page.order_id select (select max(answer.answer) from answer where answer.member_id in ( select member_id from team_members where project_id in ( select project_id from project where
  • 25. It could be better. yes? better is good!
  • 26. {[-­‐]    checkin  :  {[-­‐]        badges  :  [],        created  :  1331454784,        geolat  :  "30.2640941786",        geolong  :  "-­‐97.7414819408",        mayor  :  {[-­‐]            type  :  "nochange"        },        primarycategory  :  {[-­‐]            fullpathname  :  "Food:American  Restaurants",            iconurl  :  "https://foursquare.com/img/categories/food/default.png",            id  :  "4bf58dd8d48988d14e941735", Text            nodename  :  "American  Restaurants"        },        timezone  :  "America/Chicago",        user  :  {[-­‐]            gender  :  "male"        },        venue  :  {[-­‐]            id  :  "4d752b1bba682d43e7563876",            name  :  "CNN  Grill  @  SXSW  (Max's  Wine  Dive)"        }    } } readable, ya think?
  • 27. failed password | timechart count by client_ip The languages to talk to data are getting better for us humans
  • 28. Guys.. come on! Go back to the data please.
  • 29.
  • 30. Need data? a simple way to describe a massive problem A friend in Boulder can help
  • 31. The Social Media API Jud Valeski Co-Founder, CEO
  • 32. Sometimes machine data is helpful to those OTHER than IT
  • 33. Someone with a different perspective sees your exhaust as a source of fuel
  • 34. please, please, please CALL THE VP OF ENGINEERING at all of your vendors.
  • 35. DEMAND REALTIME DATA IN A STREAM OVER THE WEB IN JSON FORMAT
  • 36. Hey audience! We still have a few minutes. What questions might you have been saving until this exact moment?
  • 37. Thanks. @michaelwilde Michael Wilde Splunk Ninja Co-CTO, Splunk Who else sends you on your way with a cute dog photo?