2. Safe Harbor Statement
2
During the course of this presentation,we may make forward looking statements regarding future events
or the expected performance of the company. We caution you that such statements reflect our current
expectations and estimates 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 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 orto includeany suchfeatureor functionalityina futurerelease.
3. Agenda
09:00-09:30 Welcome & Splunk Überblick
- Olav Strand, Director Switzerland, Austria, Germany
09:30-10:00 Hunk: Splunk Analytics for Hadoop
- Jürgen Magiera, Senior PreSales
10:00-10:30 Use Case: International Organization for Standardization (ISO)
- Marie-Hélène Lesourd, System Manager
10:30-11:00 Kaffeepause
11:00-11:30 Use Case: mail.de
- Michael Kliewe, Systemadministrator / Software-Entwickler
11:30-12:00 Use Case: PostFinance
- Mathias Herzog / Yanick Simon, Systeminfrastruktur
12:00-13:00 Mittagessen
13:00-15:00 Technische Workshops (Anfänger / Fortgeschrittene)
15:00-16:00 Apéro
3
5. Unternehmen
Börsennotierte Softwarefirma (NASDAQ: SPLK)
Gründung 2004, erste Softwarerelease 2006
Sitz: San Francisco / Regional HQ: London, Hong Kong
1,000+ Mitarbeiter in 12 Ländern
Umsatz: 302,6 Mio U$ (+52% Vorjahr)
Börsenwert rund 10 Milliarden U$
Geschäftsmodell/ Produkte
EIN Software Code für Gratisdownload bis Enterprise
On-premise, in the cloud und SaaS
7,000+ Kunden
Kunden in mehr als 90 Ländern
60 der Fortune 100
Größte Lizenz: 100+ Terabytes pro Tag
5
Fast Company 2013: named Splunk #1 Big Data Innovator,
#4 Most Innovative Company in the World
Gartner 2013: named Splunk Leader in SIEM Magic
Quadrant
6. Aktuelle Pressemitteilungen zu Splunk
6
• "Finanz Informatik, a German financial IT services provider, is standardized on Splunk as their platform for
operational intelligence. FI supports more than half the banks in Germany and will centralize, monitor and
analyze all security-related data.”
• "Volkswagen AG's big data lab has chosen Splunk to demonstrate the value of the data analyzed and visualized in
real-time from next generation of electric vehicles. Volkswagen will demo this solution at CeBIT 2014.”
• Computerwoche "Splunk Enterprise named Most Innovative Big Data Solution Platform for Machine Data in
“Best of Big Data” Awards”
• "Symantec selected Splunk as their platform for security investigations. Symantec will centralize, monitor and
analyze all security-related data in Splunk Enterprise, so their security teams can better investigate incidents and
detect advance and insider threats. They will also use Splunk to ensure compliance with SOX and PCI data.”
• Deutsche Bank ”Splunk in our view is the only public company with a play on the Big Data theme. The company
has no close competitor, and is effectively creating the market for machine generated log file analytics and
reporting. The addressable market remains relatively underpenetrated, as our checks indicate that only 5%- 10%
of useful log files are being indexed and analyzed today. Splunk's product is faster, easier to deploy and use
compared to its competitors and its technology advantage has continue to drive its growth.”
8. Das beschleunigte Datentempo
Volumen | Velozität | Vielfalt | Variabilität
GPS,
RFID,
Hypervisor,
Web Servers,
Email, Messaging,
Clickstreams, Mobile,
Telephony, IVR, Databases,
Sensors, Telematics, Storage,
Servers, Security Devices, Desktops
Maschinendaten sind der am Schnellsten
Wachsende, Komplexeste, und Wertvollste
Anteil an Big Data
10. Wie sehen Maschinendaten aus?
Customer ID Order ID
Customer’s Tweet
Time Waiting On Hold
Twitter ID
Product ID
Company’s Twitter ID
Customer IDOrder ID
Customer ID
Sources
Order Processing
Twitter
Care IVR
Middleware
Error
11. Wie sehen Maschinendaten aus?
Order ID
Customer’s Tweet
Time Waiting On Hold
Product ID
Company’s Twitter ID
Order ID
Customer ID
Twitter ID
Customer ID
Customer ID
Sources
Order Processing
Twitter
Care IVR
Middleware
Error
13. Führende Plattform für Maschinendaten
Operational Intelligence
Search and
Investigation
Proactive
Monitoring
Operational
Visibility
Real-time
Business
Insights
HA Indexes
and Storage
Commodity
Servers
Jegliche Maschinendaten
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
14. Führende Plattform für Maschinendaten
Any Machine Data Operational Intelligence
HA Indexes
and Storage
Search and
Investigation
Proactive
Monitoring
Operational
Visibility
Real-time
Business
Insights
Commodity
Servers
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
Jede Größe und Anzahl, jede Lokation,
jede Quelle
Schema-
on-the-fly
Universal
forwarding
Kein
Back-end
RDBMS
Keine Not-
wendigkeit
Daten zu
filtern
15. Verwandelt Maschinendaten in
Operational Intelligence
Reaktiv
Proaktiv
Echtzeit
Geschäfts-
einblicke
Proaktives
Monitoring
und
AlarmierungSuche
und
Erkennung
Operationelle
Sichtbarkeit
16. Industrial Data / Internet of Things
Digital Intelligence
Business Analytics
IT Operations Management
Application Management
Security and Compliance
Operational Intelligence für IT und Geschäfts-
anwender
16
LOB Owners/
Executives
System
Administrator
Operations
Teams
Security
Analysts
IT
Executives
Application
Developers
Auditors
Website/Business
Analysts
Customer
Support
17. Developer Platform (REST API, SDKs)
IT
Operations
Security and
Compliance
Digital
Intelligence
App Dev
and
App Mgmt.
Business
Analytics
Industrial Data
and Internet
of Things
Small Data. Big Data. Huge Data.
Splunk erzeugt Mehrwert über die IT und das Business
18. Setzt neue Standards für Operational Intelligence
1 2 3
2006-2008
Tool
“Google for the
datacenter”
Engine
2009-2011
4 4.1 4.2 4.3
“Engine for machine-
generated data”
Platform
2012
5
“Platform for operational
intelligence”
20. Was ist möglich mit der Splunk Plattform?
REST API
SDKs
Web Framework
Mobile
Apps
Direkt
Logs
schreiben
Daten
extrahieren
Kunden-
sichten
Integration
BI Tools
Integration
Plattform
Dienste
21. Eine Fülle an Splunk Apps
Mehr als 400 Apps verfügbar auf der Splunk Seite
REST API
Server
Virtualization
Operating
Systems
XenApp
XenDesktop
Infrastructure
Applications
Cloud Services
Other Monitoring
Ticketing/Help
Desk
Custom Biz
Applications
Mobile
Applications
Server,
Storage,
Network
SDKs
Web Framework
22. Wie verwenden Entwickler Splunk?
Beschleunigte
Entwicklung &
Test
1
Sicher & Integriert
in die IT
Infrastruktur
2
Erstellen von
Echtzeit Daten-
anwendungen
3
23. Einfache Speicherung aber schwer
zu analysieren: schwierig Daten zu
erkunden, analysieren und
visualisieren
Komplexe Technologie: viele Open
Source Projekte
Schwer zu findende Kenntnisse:
muss MapReduce Jobs oder feste
Schemata schreiben können
23
Hadoop
(MapReduce
& HDFS)
YARN
DataFu
H
i
v
e
Mahout Pig
Sqoop
Große Bandbreite an Open Source
Projekten für Hadoop Analytik
Azkaban
Wert aus Hadoop Daten holen
24. Verlässliche, bidirektionale Integration mit Hadoop
24
Splunk Hadoop Connect
Import
Browse
Export
Splunk
Hadoop
Connect
Hadoop
(MapReduce
& HDFS)
HA Indexes
and Storage
Commodity
Servers
Report
and
analyze
Custom
dashboards
Monitor
and alert
Ad hoc
search
25. 25
“Wie können wir die
Funktionalitäten von Splunk
nativ auf Daten in Hadoop
anwenden?”
Daten in Hadoop sind zu groß zum Verschieben
Hadoop
(MapReduce
& HDFS)
Wenn die Daten zu groß zum verschieben sind
HA Indexes
and Storage
Commodity
Servers
Report
and
analyze
Custom
dashboards
Monitor
and alert
Ad hoc
search
29. Operational Intelligence
über das komplette Business
Ein ‘Brennglas’
über die vollständige,
unternehmensweite
Cloud Umgebung
Verbessert
Troubleshooting um 96%
Verbessert
Anwendungsperformanz
Bessere Erfahrungswerte
über 100,000+ Kunden
30. Messung des Anwendererlebnisses im
großen Umfang
Weblog
Traffic Daten
750 Millionen
Web
Anwender
Clickstreams
12 Millionen
monatliche
Besuche
Anfragen pro Monat
Aufrechterhalten
hohe Performanz
Schützen
Inhalt gegen schadhafte Bots
Verfolgen
Quellen für Anbieter
33. Security
Compliance
IT Ops
App Mgmnt
Zusammenführen von IT Silos um
Mißbrauch vorzubeugen
Wir nutzen
Splunk
Schnell,
automatisiert
Mißbrauchserkennung
und -beseitigungum Etsy
zu einem
sicheren Ort zu
machen um
Geschäfte
abzuwickeln
“
“
+
- Nick Galbreath
Director of Engineering
34. Echtzeiteinsichten in operative Infrastrukturen
Maschinendaten
aus End-to-End
Service Systemen
90% reduzierte
Eskalationen
67% schnellere
Problemlösung
Vorantreiben eines erstklassigen
Kundendienstes
35. Reduktion der Stromrechnung
Zentrale Sicht
des Energieverbrauchs
Korrelation
multipler Gebäudesysteme
McKenney’s Business Intelligence for Buildings
Optimierung
der Betriebsausgaben
37. 400+ Apps,
24,000+ Fragen und
30,000+ Antworten
3,000+ individuelle
Besucher pro
Woche auf
dev.splunk.com
Lokale
Anwendergruppen und
SplunkLive! Events
Jährliche
Anwenderkonferenz
Eine global wachsende Gemeinde von
Anwendern
Splunk Entwickler Splunk Apps & Antworten
42. 500+ Apps,
24,000+ Fragen und
30,000+ Antworten
3,000+ unique
Visitors pro Woche
auf dev.splunk.com
Lokale User Groups
und
SplunkLive! events
User Conference 2014
6.-9. Oktober
Splunk Nutzer – Wachstum auf allen Ebenen
42
