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Webinar: Improve Splunk Analytics and Automate Processes with SnapLogic


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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.

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Webinar: Improve Splunk Analytics and Automate Processes with SnapLogic

  1. 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. 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. 3. IT Transformation BYOD SaaS Cloud Infrastructure Traditional desktop support Packaged application support Infrastructure support
  4. 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. 5. Connecting Internet of Things 5
  6. 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. 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. 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. 9. Supplementing Machine Data aka: Solving the Log Data Mystery 9 Machine data clues need context to deliver Insight!
  10. 10. Integrated Knowledge Flow 10 Machine Data Data Context Knowledge System Logs Device Logs Monitoring Logs Users External Internal
  11. 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. 12. SnapLogic Demonstration 12
  13. 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. 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. 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. 16. Q & A 16 Craig Stewart, Technical Services Rich Dill, Technical Architect
  17. 17.     Webinars Whitepapers Case Studies
  18. 18. THANK YOU