2. Safe
Harbor
Statement
During thecourseof this presentation, we may makeforward looking statementsregarding future events
or the expected performance of the company. We caution you that such statements reflect our current
expectationsand estimatesbased onfactors currently known to us and thatactual eventsor resultscould
differ materially. For importantfactors that may cause actualresults to differ from those contained in our
forward-‐looking statements, please review our filings with the SEC. The forward-‐looking statements
made in this presentation are being made as of the time and date of its live presentation. If reviewed
after its live presentation, this presentation may not contain current or accurate information. We do not
assume any obligation to update any forward looking statements we may make. In addition, any
information about our roadmap outlines our general product direction and is subject to change at any
time without notice. It is for informational purposes only and shall not be incorporated into any contract
or other commitment. Splunk undertakes no obligation either to develop the features or functionality
described or to include any such feature or functionality in a future release.
3. Company
(NASDAQ:
SPLK)
Founded
2004,
first
software
release
in
2006
HQ:
San
Francisco
/
Regional
HQ:
London,
Hong
Kong
Over
2,000
employees,
based
in
12
countries
Business
Model
/
Products
Free
download
to
massive
scale
Splunk
Enterprise,
Splunk
Cloud,
Splunk
Light
Hunk:
Splunk
Analytics
for
Hadoop
10,000+
Customers
Customers
in
100
countries
80+
of
the
Fortune
100
Largest
license:
Over
1000
Terabytes
per
day
3
4. …
Plaguing
IT
Operations
SERVERS STORAGE NETWORKING
VITUALIZATION
INFRASTRUCTURE
APPLICATIONS
PACKAGED
APPLICATIONS
CUSTOM
APPLICATIONS
Identity
VPN
IP
Phone
HR
Email
Finance
App
Svr
DB
Web
Svr SaaS/PaaS
IaaS
Complex,
silo-‐based
technologies
Disconnected
and
outdated
point
solutions
Reactive
brute-‐force
problem
resolution
Over
80%
of
time
on
maintaining
not
innovating
7. What
Industry
wants
to
do
about
it
7
Efficient
use
of
people
resources
-‐ lean
Reduce
tool
complexity
and
costs
Become
more
proactive
Reduce
negative
business
impact
Desired
approach
One
platform
and
fewer
tool
admins
for
monitoring,
troubleshooting,
and
operational
visibility
Required
Capabilities
Instantly
analyze
and
correlate
raw
data,
machine
learning
Accurate
indication
of
root
causes
to
reduce
escalations
and
eliminate
War
Rooms
Visibility
across
all
functional
areas
shared
by
everyone
8. The
Splunk Approach
8
Server
s
Networks
GPS
Locati
on Packaged
Applicatio
ns
Custom
Applicatio
ns
Desktops
Storag
e
Databases
Web
Servic
es
Online
Servic
es
Securit
y
ROOT
CAUSES
9. Industry
Leading
Platform
for
Machine
Data
Any
Machine
Data
Online
Services
Web
Services
Servers
Security GPS
Location
Storage
Desktops
Networks
Packaged
Applications
Custom
ApplicationsMessaging
Telecoms
Online
Shopping
Cart
Web
Clickstreams
Databases
Energy
Meters
Call
Detail
Records
Smartphones
and
Devices
RFID
Datacenter
Private
Cloud
Public
Cloud
Enterprise
Scalability
Search
and
Investigation
Proactive
Monitoring
Operational
Visibility
Real-‐time
Business
Insights
Operational
Intelligence
10. Industry
Leading
Platform
for
Machine
Data
Any
Machine
Data
Online
Services
Web
Services
Servers
Security GPS
Location
Storage
Desktops
Networks
Packaged
Applications
Custom
ApplicationsMessaging
Telecoms
Online
Shopping
Cart
Web
Clickstreams
Databases
Energy
Meters
Call
Detail
Records
Smartphones
and
Devices
RFID
Datacenter
Private
Cloud
Public
Cloud
Enterprise
Scalability
Search
and
Investigation
Proactive
Monitoring
Operational
Visibility
Real-‐time
Business
Insights
Operational
Intelligence
Any
amount,
any
location,
any
source
Schema-‐
on-‐the-‐fly
Universal
indexing
No
back-‐end
RDBMS
No
need
to
filter
data
12. Turning
Machine
Data
Into
Operational
Intelligence
Reactive
Search
and
Investigate
Proactive
Monitoring
and
Alerting
Operational
Visibility
Proactive
Real-‐time
Business
Insight
12
14. Operational
Intelligence
1-‐ Troubleshooting
Find
and
fix
problems
faster
14
Reduced
MTTR
Improve
End
User
Experience
Reduce
Costs
Greater
IT
productivity
No
more
grepping through
logs
End-‐to-‐end
correlation
15. Operational
Intelligence
2-‐ Monitoring
Find
and
fix
problem
before
it
becomes
a
problem
Increased
uptime
Trends
in
real
time
and
Historical
Data
Powerful
Visualizations
Alerting
and
notifications
16. Splunk
Differentiators
16
Capture,
retain,
correlate
and
analyze
ALL
data
Reduced
MTTR
From
proactive
monitoring
to
correlation
and
operational
analytics
Improved
user
experience
Index
data
once
for
multiple
uses:
capacity
planning,
help
desk
support,
security,
troubleshooting,
audit,
SLA
reporting,
change
tracking
Reduced
costs
Scale
to
handle
the
largest,
most
complex
datacenters
Greater
productivity
Universal
Machine
Data
Platform
Fast
Time-‐to-‐value
Scales
from
Desktop
to
Enterprise
Real-‐time
Architecture
17. How
would
customer
solve
the
challenges?
Required
Capabilities
Reduced
sprawl
and
complexity:
One
platform
that
consumes
data
in
real-‐time
from
any
source
and
transforms
it
into
information,
knowledge,
and
ultimately
wisdom
Agile
and
flexible:
Ability
to
quickly
define
any
metric,
correlate
across
any
data
source,
and
present
information
in
real-‐time
Scalable
and
optimized:
One
technology
that
scales
to
any
sized
environment
with
as
little
infrastructure
as
possible
Raw
data
history:
Access
to
long-‐term
historical
raw
data
for
machine
learning
and
capacity
optimization
17
18. Why
Enterprises
Use
Splunk
for
IT
Operations
Increased
Uptime
to
99.9%
Availability
Reduced
MTTR
from
2-‐3
days
to
few
minutes
Improved
Margins
by
protecting
millions
in
ad-‐revenue
Consolidated
Tools
by
retiring
27
monitoring
solutions
Optimized
Capacity
by
saving
$500K
in
SW,
HW
&
licenses
Drives
Innovation
with
usage
analytics
on
product
features
21. Splunk
IT
Service
Intelligence
21
Data
Driven
• All
IT
Data
-‐ events,
metrics,
and
logs
Service-‐awareness
• Provides
actionable
insights
into
high
visibility
services
• Personal
contextual
visualizations
• Mitigate
problems
before
they
impact
customers.
Powerful
Platform
• Fast
correlation
across
services
&
KPIs
• Deploys
Quickly
• Scalable,
flexible
and
fast
time-‐to-‐value
• Scalable
Universal
Platform
(any
point
in
time)
22. IT Service Intelligence
Data-‐driven
insights
for
root
cause
isolation
and
improved
service
awareness
with
a
marketing
catchphrase
that
is
really
long
23. IT
Service
Intelligence
– Core
Concepts
Service Requests
Responses
Web
Technical
Services
Packet
Network
Hypervisor
and
Hosts
RBMDBs
Storage
Tier
API
Services
Web
Services
Web
KPI:
Number
of
requests
KPI:
Error
rate
KPI:
Average
response
time
KPI:
Servicer
CPU
load
KPI:
Server
network
I/F
errors
KPIs
KPIs
and
Health
scores
constitute
the
means
by
which
Services
are
monitored.
Health
Score
24. Achieve
Service
Visibility
Faster
Service
Analyzer
High-‐level
view
of
services
and
composite
health
scores
Glass
Tables
Personalized
visualizations
of
your
services
Deep
Dives
Organized
view
of
performance
indicators
across
silos
Multi
KPI
Alerts
Correlation
rules
to
generate
notable
events
Notable
Events
Easy-‐to-‐understand
report
on
results
of
correlation
searches
Anomaly
Detection
and
Adaptive
Thresholds
Machine
learning
to
baseline
normal
operations
and
identify
anomalous
behavior
24