The document appears to be a presentation discussing Sumo Logic, an application monitoring company. It introduces Ben Whaley, CTO of Anki, and Christian Beedgen, Chief Architect of Sumo Logic. It then shows various charts and graphs demonstrating Sumo Logic's growth and capabilities in visualizing and analyzing large amounts of data from customers. It emphasizes embracing change and having a plan to respond to alerts.

1. Las Vegas, November 13th, 2014
Ben Whaley, Anki
Christian Beedgen, Sumo Logic

2. Introductions
Chasing Infinity
Obvious Versus Hard

3. Co-Founder & CTO Chief Architect

4. Applications
Internet of ThingsNetwork
Mobile
Search
Visualize
Predict

7. 0
200,000
400,000
600,000
800,000
1,000,000
1,200,000
0
2,000
4,000
6,000
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May-12
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Jan-14
Feb-14
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May-14
Jun-14
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Oct-14
GB per Day
Searches

8. AWS Infrastructure Lead Cloud Architect

12. In 2010, we knew that
success will look
something like this…

13. In 2010, we knew that
success will look
something like this…

16. Just one typical Sumo Logic customer - 8x Variance!

17. Just one typical Sumo Logic customer - 8x Variance!

18. Here’s another one – spike at 2.5 of steady…

19. Or… Sweet, incremental, unfettered growth

24. Datacenter As An API!!!

25. A++++++++++++!! Will Buy Again

28. $ bin/receiver prod.service-registry.sumologic.com

34. Here We Are
In 2014

40. Deployment wide services
Ingest
Search
Internal tools
receiver
hornetq-
forge
forge
cqsplitter
search
cloud
collector
service
api
con-
cierge
stream
katta
glass,
ganglia
bill
mix
meta
config
zoo-
keeper
appvault org
raw
hornetq-
inbound
cocoa
bloom
filter
analyticscsi
cqmerger
rework
view
autoview
depman
hornetq-
internal
hornetq-
metadata
nrt

42. Embrace Change Or Die

52. https://docs.google.com/document/d/199PqyG3UsyXlwieHaqbGiWVa8eMWi8zzAn0YfcApr8Q/mobileba
sic?pli=1&viewopt=127#h.dmn6k1rdb6jf

53. Don’t Alert If
You Don’t
Have A
Playbook

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1 1 1 1 1
1 1 1 1 1
1 1 1 1 1
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1 1 1 1 1

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1 2 1 2 1 2 1 2 1 2
1 2 1 2 1 2 1 2 1 2
1 2 1 2 1 2 1 2 1 2
1 2 1 2 1 2 1 2 1 2
1 2 1 2 1 2 1 2 1 2

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1 2 3 4
5 6 7 8
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1 1
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1 3 4 1 3 4 2 3 5 2 3 5 2 3 6
7 7 5 8 5 8
1 3 4 1 3 4 2 3 5 2 3 5 2 3 6
7 7 5 8 5 8
7 7 5 8 5 8
5 8
5 8
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6

65. Set[Customer], Set[Instance]  Map[Instance, Set[Customer]]