Last week SnapLogic sponsored partner event Splunk Worldwide Users' Conference in Las Vegas. The theme of the conference was "Your Data, No Limits." In keeping with this theme, SnapLogic helps Splunk customers access more comprehensive analytics by integrating as much data as possible from as many sources as possible, and by streamlining the business process of loading data in Splunk, detecting problems, and facilitating actions that result in a prompt resolution. To learn more, visit: http://www.snaplogic.com/.

1. Copyright © 2013 Splunk Inc.
Craig Stewart, Field Technical Services, SnapLogic
Rich Dill, Technical Architect, SnapLogic
Higher-order Benefits from Splunk
with Data and Process Automation

2. Agenda
• Introducing SnapLogic
The Hybrid Data World
SnapLogic – Solving the Log Data Mystery with Data Integration
Demonstration
Customer case study
Q&A
2

3. IT Transformation
BYOD SaaS
Cloud
Infrastructure
Traditional desktop
support
Packaged application
support
Infrastructure support

4. State of Integration Today | New Requirements
• Hybrid Reality
− Data/apps on-premise and in cloud
− Must connect and scale securely
• More Fragmentation
− 100s of apps & distributed endpoints
− Versioning headaches
• Varied Data Type
− Structured, Unstructured, Semi..
− Big Data, Social/mobile

5. Connecting Internet of Things
5

6. SnapLogic Elastic Integration
Hybrid Architecture
• Execute integration pipelines
(workflows) in cloud, or on-
premise or both
Secure Operations
• Securely orchestrate business
processes that traverse cloud
& ground assets
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7. The SnapLogic Value Proposition
Connect to anything to anything - anywhere: On-premise, cloud; batch
to low-latency
Extensible: Open SDK and REST API
Ease of deployment & management: 3X-5X faster than hand-coding
and legacy integration
Agile - Time to value: Enable “citizen developer”: 3X-6X less
development time
ROI: Subscription licensing, less time to value 2X-6X improvement ROI

8. Higher order benefits for Splunk customers
8
The value of individual items of data is limited, the value comes
when it can be related and intelligence derived
E.g. an intrusion detected on an IP address is inconvenient (but
interesting), the value of that is significantly higher if it can be
supplemented with user, device and location

9. Supplementing Machine Data
aka: Solving the Log Data Mystery
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Machine data clues need context to deliver Insight!

10. Integrated Knowledge Flow
10
Machine Data
Data Context
Knowledge
System Logs Device Logs Monitoring Logs
Users
External Internal

11. Integrated Insights
11
Solving the Log Data Mystery
• Machine Data provides clues to
possible problems
• Hi-Level decisions need machine
data correlated with reference and
master data
• Today these sources live in cloud
and on-prem systems
• Insight and knowledge come as a
result of integration

12. SnapLogic Demonstration
12

13. Customer Case Study | Fortune 10 Company
IT Risk globally manages security information for assets (computers, mobile devices etc.)
Business Problems
• IT Risk manages 400,000 PC’s and 1,000’s of edge devices around the
globe
• Equipment status log files updated as often as every minute
• Risk management processes evolve rapidly
• Needed to rapidly integrate multiple data sources into a multi-process
risk assessment and management process
• Endpoints included
• Splunk for log file ingestion and alert creation
• ServiceNow for incident creation/management/CMDB
• Airwatch for mobile asset management
Alternative Approaches
• Custom coding by IT personnel
• Individual scripts/custom code from each vendor

14. Case Study Architecture
Splunk Indexers
Splunk Cloud
Secure Searching
Splunk Forwarders
Search Head
Data Integration
Log Files
Trouble
Ticketing/
CMDB and
Enrichment
Commercial
Cloud
Splunk Forwarders

15. Customer Case Study| Business Outcomes
Estimated SnapLogic at 4x more productive than custom coding
• SnapLogic used for near real-time batch and bi-directional updates
• Agile delivery to accelerate time-to-value
• Standardized architecture for master data connectivity
• Reduced operational maintenance and increased reliability and security through
central management of integrations
• Elastic scaling for future volume and velocity
Future:
• Customer is looking to extend integration processes into separate cloud and on-
prem for increased agility, manageability
• Target applications include Qualys, Veracode, Mozy, ScanSafe, Zscaler and SkyHigh

16. Q & A
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Craig Stewart, Technical Services
Rich Dill, Technical Architect
www.snaplogic.com

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snaplogic.com/techtalk
Webinars
Whitepapers
Case Studies

18. THANK YOU