2. Safe Harbor Statement
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.
2
3. 3
15.00 Uhr: Begrüßung
15.20 Uhr: Industrie 4.0 – Maschinendaten schnell und einfach nutzbar machen
15.40 Uhr: Optimierung des Energieeinsatzes durch die Analyse von
Maschinendaten
16.00 Uhr: Vom Prozessmonitoring zur proaktiven Instandhaltung (Predective
Maintenance)
16.30 Uhr: Splunk @ Amadeus
17.00 Uhr: Diskussion
18.00 Uhr: ENDE
3
AGENDA
4. Splunk Company Overview
4
Company
• Global HQs:
San Francisco
London
Hong Kong
• 1,400 employees globally
• Annual Revenue:
$450.9M (YoY +49%)
• NASDAQ: SPLK
Products
• Free trial to massive scale
• Splunk products:
Splunk Enterprise
Splunk Cloud
Hunk
Splunk Light
Splunk MINT
Premium Apps
Customers
• 10,000+ customers
• 700 customers in DACH
region
• Across 100 countries
• Small to large
organizations
• 80 of the Fortune 100
• Largest license:
600+ Terabytes/day
5. Industry Leading Platform For Machine Data
Machine Data: Any Location, Type, Volume
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
On-
Premises
Private
Cloud
Public
Cloud
Platform Support (Apps / API / SDKs)
Enterprise Scalability
Universal Indexing
Answer Any Question
Developer
Platform
Report
and
analyze
Custom
dashboards
Monitor
and alert
Ad hoc
search
6. Industry Leading Platform For Machine Data
Machine Data: Any Location, Type, Volume
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
On-
Premises
Private
Cloud
Public
Cloud
Platform Support (Apps / API / SDKs)
Enterprise Scalability
Universal Indexing
Answer Any Question
Developer
Platform
Report
and
analyze
Custom
dashboards
Monitor
and alert
Ad hoc
search
Any amount, any location, any source
Schema-
on-the-fly
Universal
indexing
No
back-end
RDBMS
No need
to filter
data
7. IT
Operations
Application
Delivery
Developer Platform (REST API, SDKs)
Business
Analytics
Industrial Data
and Internet of
Things
7
Delivers Value Across IT and the Business
Business
Analytics
Industrial Data
and Internet of
Things
Security,
Compliance
and Fraud
11. Data-Driven Refreshment
Aggregate machine data from
freestyle machines
Insights into customer
interactions and decisions
Reduced Downtime and
Increased Consumer Satisfaction
Vending machine
performance and diagnostics
12. +
Content browsed,
purchased and
watched. All tracked by
time and MAC address
Customer
behavior
analytics
Customer
profile and MAC
address / device
assignments
Understanding Customer Behavior
16. Mainframe
Data
VMware
Platform for Machine Data
The Splunk Portfolio
Exchange PCISecurity
Relational
Databases
MobileForwarders
Syslog /
TCP / Other
Sensors &
Control Systems
Across Data Sources, Use Cases & Consumption Models
Wire
Data
16
Mobile Intel
Splunk Premium Apps Rich Ecosystem of Apps
MINT
17. 17
Splunk Platform for IoT
Data Connection
and Collection
Data Analytics Partner Ecosystem Developer Platform
REST • Web Framework
• SDKs: Java, .NET, JS
• Modular Inputs
• Virtual Indexes
• Rest
• SDKs
• Universal Forwarder
VIMI
WFT
At Splunk, our mission is to make machine data accessible, usable and valuable to everyone. And this overarching mission is what drives our company and product priorities.
Splunk has more than 1,400 employees worldwide, with our global headquarters in San Francisco. Our 9,500+ customers in 100 countries are using Splunk software and cloud services to improve service levels, reduce operations costs, mitigate security risks, enable compliance, enhance DevOps collaboration and create new product and service offerings.
Our products are designed to fit your needs and are built to be as frictionless to deploy as possible. Simple download Splunk software, or sign up for the online sandbox, point it at your data, and you’ll up and running in minutes.
Please always refer to latest company data found here: http://www.splunk.com/company.
Splunk is the platform for machine data, it digests all machine data and allow users to quickly analyze their data and rapidly obtain insight. The platform was designed around the premise of being able to consume any machine data even if the format changes. A relational database would cannot effectively support constantly changing underlying schemas. Splunk solves this by creating a schema on the fly…
Splunk Cloud is only available in the U.S. and Canada.
It can do this because it has no back-end RDBMS. This allows users to ask new questions of their data without having to worry if their schema supports it.
Splunk ingests files regardless of their format, structure, or type. It provides integrated, end-to-end capabilities to collect, store, analyze and manage machine data - real-time and historical - in a single solution.
This also means you don’t have to filter the data and you can forward data from anything.
Both IT and business professionals can analyze machine data to get real-time visibility and operational intelligence.
With our platform for machine data, organizations can meaningfully improve their performance in a wide range of areas e.g. meet service levels, reduce costs, mitigate security risks, maintain compliance and gain insights.
Customer comsumption pattern
Add more specifics
Words need to tbe tighted up
Improve graphics…
Comcast Corporation (Nasdaq: CMCSA, CMCSK) (www.comcast.com) is one of the world’s leading media, entertainment and communications companies.
Comcast has many different Splunk use cases. One of their use cases involves taking data from the set-top boxes to gain real time insights in to customer interaction with content served up by the set top box. Each set top box has a media access control (MAC) address that is unique and is associated with a specific customer. The set top box is capturing all customer interaction with device including which content the customer searched for, what the date of search was, what search results were displayed (this information is recorded a unique identifiers called IDA numbers) and what content was purchased. However, the set top box does not have any information on the customer including their profile. That information is stored in the billing system. Comcast is using Splunk to correlate data across set top boxes and billing systems to gain real-time business insights.
Using the correlation criteria of MAC address, content displayed in search and time of purchase, Comcast is gaining a broad range of business insights into their customers. For example, these insights are helping Comcast understand revenues driven by search. By overlaying this information with geo location data, they are able to improve content mix and drive higher monetization. These insights are also helping Comcast improve content promotion based on region.
Comcast is using the Splunk and Hadoop integration to visualize Comcast setbox log information. The setbox data comes to Hadoop, get pre processed and moved to Splunk for visualization.
Hadoop Input = High volume of data from many systems along a complex workflow, Developers expressing artistic prerogative on log formats, Many different data sources and formats
Splunk Output = Drive operational intelligence, Improve user experience, Troubleshooting, root cause analysis, Track and measure success, Reports, alarms
New York Air Brake’s Train Dynamic Systems Division is using Splunk to manage inter-train forces, the “slinky factor” inherent in large freight trains with 6 inches of flex between cars. With Splunk, they are able to produce insight and reports allowing the owners of the locomotives they manage to better train the engineers, and better manage the acceleration and braking of the trains throughout thousand mile journeys. Managing this data with Splunk, they can produce 1% fuel savings for customers. For their largest customers this can mean a billion dollars in savings a year.
Robert Bosch Healthcare provides products, systems and services that support patients with chronic conditions and help older folks in their homes. Those who can’t get out to see the doctor rely on Robert Bosch to bring healthcare to them. More than 50,000 patients connect to their healthcare providers on a daily basis using Bosch medical devices.
They use Splunk in a fascinating way:
Bosch has gained real-time diagnostic access to the thousands of “Health Buddy” medical devices / patient interfaces in the field, thereby gaining invaluable operational intelligence to improve the customer experience and overall efficiency
Bosch support personnel can detect and correct runtime errors in the medical devices in real time, rather than waiting for patients to complain
Lastly, Bosch is using Splunk to ensure the safety and security of patients’ confidential medical information, especially as some of it might be transmitted over insecure channels such as mobile networks
At CeBit2014, Volkswagen’s Data Lab chose splunk to demonstrate the power of the machine data generated by their next generation of electric vehicle – the e-up.
There are some very interesting concepts and innovations in this dashboard. First is its capability to replay any vehicle’s journey for the selected time range. In the lower left, you can see the scrub controls, and vehicle activity is marked by a simple histogram. All available sensors on the vehicle are “played back” in real-time or fast-forward mode, including vehicle speed, engine RPM, battery status, vehicle range, outdoor temperature, door and headlight status.
This is a really great example of Splunk’s capabilities as a developer platform. Using Splunk 6’s built in web framework, a web developer was quickly able to develop an engaging and compelling dashboard in far less time than it would have taken using traditional or competing web data frameworks.
The Splunk platform consists of multiple products and deployment models to fit your needs.
Splunk Enterprise – for on-premise deployment
Splunk Cloud – Fully managed service with 100% SLA and all the capabilities of Splunk Enterprise…in the Cloud
Splunk Light – log search and analytics for small IT environments
Hunk – for analytics on data in Hadoop
The products can pull in data from virtually any source to support multiple use cases.
Splunk Apps extend and simplify deployments by providing pre-packaged content designed for specific use cases and data types.
How to show that Splunk it also investing into these areas, where we are putting resources and money
Ecosystem slide can come right after it..
One column for data ingestion
Data Storage
Data Analytics
Data Visualization