Filip Wijnholds is a senior sales engineer at Splunk who joined the company in June 2015 after working at Intel Security for 4 years. He began his career in the networking industry working with packet capture software. The document provides an overview of Splunk's machine data platform and how it can ingest and analyze data from various sources. It also outlines the company's legal notices regarding forward-looking statements and product roadmaps.

1. Copyright
©
2015
Splunk
Inc.
Filip
Wijnholds
Sr.
Sales
Engineer
GeAng
Started
with
Splunk
Enterprise

2. Filip
Wijnholds
Joined
Splunk
June
2015
Intel
Security
4
years
prior.
“Packet
head”
Started
with
with
Sniffer
PRO
At
Network
General
Favorite
T-­‐Shirt
Quote:
I
like
big
data
and
I
cannot
lie.

3. Legal
No)ces
During
the
course
of
this
presentaUon,
we
may
make
forward-­‐looking
statements
regarding
future
events
or
the
expected
performance
of
the
company.
We
cauUon
you
that
such
statements
reflect
our
current
expectaUons
and
esUmates
based
on
factors
currently
known
to
us
and
that
actual
events
or
results
could
differ
materially.
For
important
factors
that
may
cause
actual
results
to
differ
from
those
contained
in
our
forward-­‐looking
statements,
please
review
our
filings
with
the
SEC.
The
forward-­‐
looking
statements
made
in
this
presentaUon
are
being
made
as
of
the
Ume
and
date
of
its
live
presentaUon.
If
reviewed
a[er
its
live
presentaUon,
this
presentaUon
may
not
contain
current
or
accurate
informaUon.
We
do
not
assume
any
obligaUon
to
update
any
forward-­‐looking
statements
we
may
make.
In
addiUon,
any
informaUon
about
our
roadmap
outlines
our
general
product
direcUon
and
is
subject
to
change
at
any
Ume
without
noUce.
It
is
for
informaUonal
purposes
only
and
shall
not
be
incorporated
into
any
contract
or
other
commitment.
Splunk
undertakes
no
obligaUon
either
to
develop
the
features
or
funcUonality
described
or
to
include
any
such
feature
or
funcUonality
in
a
future
release.
3

4. 4
Making
machine
data
accessible,
usable
and
valuable
to
everyone.
4

5. Our
Plan
of
AcUon
5
1. SeAng
the
stage.
2. How
does
Splunk
fit
in
the
landscape?
3. What
differen'ates
Splunk?
4. Components
that
make
up
Splunk?
5. Demo
-­‐
How
it
works?

6. The
AcceleraUng
Pace
of
Data
Volume
|
Velocity
|
Variety
|
Variability
GPS,
RFID,
Hypervisor,
Web
Servers,
Email,
Messaging,
Clickstreams,
Mobile,
Telephony,
IVR,
Databases,
Sensors,
TelemaUcs,
Storage,
Servers,
Security
Devices,
Desktops
Machine
data
is
the
fastest
growing,
most
complex,
most
valuable
area
of
big
data
6

7. Industry
Leading
Pladorm
For
Machine
Data
Machine
Data:
Any
Loca)on,
Type,
Volume
Online
Services
Web
Services
Servers
Security
GPS
LocaUon
Storage
Desktops
Networks
Packaged
ApplicaUons
Custom
ApplicaUons
Messaging
Telecoms
Online
Shopping
Cart
Web
Clickstreams
Databases
Energy
Meters
Call
Detail
Records
Smartphones
and
Devices
RFID
On-­‐
Premises
Private
Cloud
Public
Cloud
PlaAorm
Support
(Apps
/
API
/
SDKs)
Enterprise
Scalability
Universal
Indexing
Answer
Any
Ques)on
Developer
PlaAorm
Report
and
analyze
Custom
dashboards
Monitor
and
alert
Ad
hoc
search
Universal
Machine
Data
Pladorm

8. Industry
Leading
Pladorm
For
Machine
Data
Machine
Data:
Any
Loca)on,
Type,
Volume
Online
Services
Web
Services
Servers
Security
GPS
LocaUon
Storage
Desktops
Networks
Packaged
ApplicaUons
Custom
ApplicaUons
Messaging
Telecoms
Online
Shopping
Cart
Web
Clickstreams
Databases
Energy
Meters
Call
Detail
Records
Smartphones
and
Devices
RFID
On-­‐
Premises
Private
Cloud
Public
Cloud
PlaAorm
Support
(Apps
/
API
/
SDKs)
Enterprise
Scalability
Universal
Indexing
Answer
Any
Ques)on
Developer
PlaAorm
Report
and
analyze
Custom
dashboards
Monitor
and
alert
Ad
hoc
search
Any
amount,
any
locaUon,
any
source
Schema-­‐
on-­‐the-­‐fly
Universal
indexing
No
back-­‐end
RDBMS
No
need
to
filter
data
Schema
on
the
Fly

9. Mainframe
Data
VMware
Pladorm
for
Machine
Data
Easy
to
Adopt
Splunk
Exchange
PCI
Security
DB
Connect
Mobile
Forwarders
Syslog
/
TCP
/
Other
Sensors
&
Control
Systems
Rich
Ecosystem
of
Apps
Across
Data
Sources,
Use
Cases
&
Consump)on
Models
Stream
9
Passionate
and
Vibrant
Community

10. Big
Data
Landscape
Key/Value,
Columnar
or
Other
(semi-­‐structured)
Cassandra
CouchDB
MongoDB
NoSQL
10
Rela)onal
Database
(highly
structured)
SQL
&
MapReduce
RDBMS
Oracle,
MySQL,
IBM
DB2,
Teradata
Teradata
Aster
Data
SQL
on
Hadoop
Distributed
File
System
(semi-­‐structured)
Hadoop
HDFS
Storage
+
MapReduce
Temporal,
Unstructured
Heterogeneous
Real-­‐Time
Indexing
MapReduce

11. Big
Data
Landscape
Key/Value,
Columnar
or
Other
(semi-­‐structured)
Cassandra
CouchDB
MongoDB
NoSQL
11
Rela)onal
Database
(highly
structured)
SQL
&
MapReduce
RDBMS
Oracle,
MySQL,
IBM
DB2,
Teradata
Teradata
Aster
Data
SQL
on
Hadoop
Distributed
File
System
(semi-­‐structured)
Hadoop
HDFS
Storage
+
MapReduce
Temporal,
Unstructured
Heterogeneous
Real-­‐Time
Indexing
MapReduce

12. 1.
2.
3.
4.
How
to
Get
Started
Download
Install
Forward
Data
Search
Databases
Networks
Servers
Virtual
Machines
Smart
phones
and
Devices
Custom
ApplicaUons
Security
Web
Server
Sensors
Four
steps:

13. Define
Product
Roles
" Searching
and
ReporUng
(Search
Head)
" Indexing
and
Search
Services
(Indexer)
" Data
CollecUon
and
Forwarding
(Forwarder)
" Data
Governor
(Cluster
Master)
" Distributed
Management
(Deployment
Server)
Databases
Networks
Servers
Virtual
Machines
Smart
phones
and
Devices
Custom
ApplicaUons
Security
Web
Server
Sensors
Scales
from
Desktop
to
Enterprise

14. Scales
to
Hundreds
of
TBs/Day
Enterprise-­‐Class
Scale,
Resilience
and
Interoperability
Send
data
from
thousands
of
servers
using
any
combinaUon
of
Splunk
Forwarders
Auto
load-­‐balanced
forwarding
to
Splunk
Indexers
Offload
search
load
to
Splunk
Search
Heads
Scales
from
Desktop
to
Enterprise

15. Demo
–
How
it
Works
15
1.
Installing
and
StarUng
Splunk
2.
IngesUng
Data
3.
Search
Basics
• Search
Bar
• Time
Picker
• Extracted
Fields
4.
Dynamic
Field
ExtracUon
5.
AlerUng
6.
StaUsUcs
and
ReporUng
7.
Command
Language
8.
Splunk
ApplicaUons

16. Supplemental
InformaUon
16
Get
the
following
at
splunk.does-­‐it.net
Download
• www.splunk.com/download
Search
Tutorial:
• docs.splunk.com/DocumentaUon/Splunk/latest/SearchTutorial
Tutorial
Data:
• docs.splunk.com/images/Tutorial/tutorialdata.zip

17. Demo
17

18. EducaUon
Resources
18
Splunk
Educa)on
• www.splunk.com/educaUon
Using
Splunk,
Searching
and
ReporUng,
Developing
Apps,
Administering
Splunk,
and
more!
Books
• ImplemenUng
Splunk:
Big
Data
EssenUals
for
OperaUonal
Intelligence
• Splunk
EssenUals
• Exploring
Splunk
• Splunk
OperaUonal
Intelligence
Cookbook

19. Things
to
Remember
19
1.
Splunk
is
Free
–
Download
and
get
started
today
2.
Quick
Time
to
Value
3.
Data
Gold
Mines
–
what
informaUonal
fortune
awaits?!
4.
Leverage
the
Splunk
Community
• splunkbase.splunk.com
• answers.splunk.com
• blogs.splunk.com
5.
Happy
Splunking!!

20. QuesUons?

21. Thank
You