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Webinar: Improve Splunk Analytics and Automate Processes with SnapLogic
The document discusses SnapLogic's capabilities in integrating and automating data processes across hybrid environments, addressing challenges posed by fragmented applications and diverse data types. It highlights a customer case study demonstrating SnapLogic's impact on IT risk management for a Fortune 10 company, which improved productivity and integration efficiency significantly. The key value proposition includes faster deployment, enhanced ROI, and the ability to connect on-premise and cloud data seamlessly.
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Webinar: Improve Splunk Analytics and Automate Processes with SnapLogic
- 1. Copyright © 2013Splunk 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 TheHybrid 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 Traditionaldesktop support Packaged application support Infrastructure support
- 4. State of IntegrationToday | 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 ofThings 5
- 6. SnapLogic Elastic Integration HybridArchitecture • 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 ValueProposition 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 benefitsfor 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 MachineData Data Context Knowledge System Logs Device Logs Monitoring Logs Users External Internal
- 11. Integrated Insights 11 Solving theLog 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
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- 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 SplunkIndexers 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 CraigStewart, Technical Services Rich Dill, Technical Architect www.snaplogic.com
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Editor's Notes
- #5 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
- #6 A new solution required for the new world whereData gravityElasticity, a key requirement
- #7 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!