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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
Agenda
• Introducing SnapLogic
The Hybrid Data World
SnapLogic – Solving the Log Data Mystery with Data Integration
Demonstration
Customer case study
Q&A
2
IT Transformation
BYOD SaaS
Cloud
Infrastructure
Traditional desktop
support
Packaged application
support
Infrastructure support
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
Connecting Internet of Things
5
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
6
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
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
Supplementing Machine Data
aka: Solving the Log Data Mystery
9
Machine data clues need context to deliver Insight!
Integrated Knowledge Flow
10
Machine Data
Data Context
Knowledge
System Logs Device Logs Monitoring Logs
Users
External Internal
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
SnapLogic Demonstration
12
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
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
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
Q & A
16
Craig Stewart, Technical Services
Rich Dill, Technical Architect
www.snaplogic.com




snaplogic.com/techtalk
Webinars
Whitepapers
Case Studies
THANK YOU

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Webinar: Improve Splunk Analytics and Automate Processes with SnapLogic

  • 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
  • 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 6
  • 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 9 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
  • 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 16 Craig Stewart, Technical Services Rich Dill, Technical Architect www.snaplogic.com

Notas do Editor

  1. Different requirements today – new reality which cannot be solved with old technologies..Far more appsHybrid environmentStuff they bought in 90sDevt languages – pt to ptVersioning headachesLots more dataMore info, endpts, data
  2. A new solution required for the new world whereData gravityElasticity, a key requirement
  3. Connectivity to cloud should run in the cloudLike Vmware and Nicera – software defined networking…Separation btn data plane and control plane – way to run things in world todayPut data plane on premise – such as ERP systems (politically and functionally)Conversely – fewer people want to keep Siebel, etc and so just move that to cloudONLY SnapLogic can do both, elasticallyData shipping and function shippingShip the question to the data – 10 PB of dataPrice of gas over 4th of July – elasticity enables the data to move to the question!