Building Business Service Intelligence
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Transcript of Building Business Service Intelligence
2
Agenda
• IntroductionsandSetUp• MethodologyandValueofServiceDesignandMapping• HowtoDerive“ServiceIntelligence”• IntrotoSplunkITServiceIntelligence• HandsonwithSplunkITSI• Recap• Q&A
3
IntroductionsDavidMillis
- ITOAStaffArchitect,Splunk- [email protected]
TomHarrop- ITMarkets,Splunk- [email protected]
SafeHarborStatementDuring the course of this presentation, wemaymake forward looking statements regarding future eventsor the expected performance of the company. We caution you that such statements reflect our currentexpectations and estimates based on factors currently known to us and that actual events or results coulddiffermaterially. For important factors that may cause actual results to differ from those contained in ourforward-looking statements, please review our filings with the SEC. The forward-looking statementsmade in this presentation are being made as of the time and date of its live presentation. If reviewedafter its live presentation, this presentationmay not contain current or accurate information. We do notassume any obligation to update any forward looking statements we may make. In addition, anyinformation about our roadmap outlines our general product direction and is subject to change at anytime without notice. It is for informational purposes only and shall not be incorporated into any contractor other commitment. Splunk undertakes no obligation either to develop the features or functionalitydescribed or to include any such feature or functionality in a future release.
4
Key Takeaways
1 TraditionalMethodsareanachronistic1
ServiceMappingisCritical
3 Data-Defined&DrivenServiceInsights3
Challenging Traditional Methods
Network
Infra
structureLayer
HPNNMi,HPNA,SolarWinds,CASpectrum,
StorageHPStorageOperations,NetApp,EMC
ServerHPOV/Sitescope,SCOM,Nagios,Tivoli,BMCPatrol,CAUIM
74%
-36%
Applica
tionLayer
SyntheticAPMAppD,NewRelic,Dynatrace,HPAPM,CA,IBM,Appica
ByteCodeInstrumentation
AppD,NewRelic,Dynatrace,HPDiag,CAWily
AdaptiveThresholding
HPSHA,BMCProactiveNet,Netuitive,Preelert
HPRun-TimeServiceModelCAServiceOperationsInsight
IBMNetCool/OmnibusServiceModeldefinition&CorrelationEngine
Business Layer
Aggregation/Correlation/Visualization
Service Layer
Challenges• Toomanydisparatecomponents• DifficulttodefineServiceModel• Laborintensive• Mostimplementationsfail• Veryimportantsourceis
missing!(machinedata)
Data-Defined & Driven Service Insights
Infra
structureLayer
Applica
tionLayer
Splunk> isthemissinglink• DataFidelity• SingleRepositoryforALLdata• EasiertoManageServices• ReducedIntegrations• ReducedPointSolutions• CollaborativeApproach• Quicktimetovalue
Data Fabric Platform
Service Intelligence
NetworkPacket,Payload,Traffic,Utilization,Perf
SyntheticAPMAvailability,Capacity,UserExperience
ByteCodeInstrumentationUsage,Experience,Performance,Quality
AdaptiveThresholdingApps,Services,Systems74%
-36%
ServerPerformance,Usage,Dependency
StorageUtilization,Capacity,Performance
MACHINEDATA
BringSubjectExpertsTogether
DesignBeforeConfiguring
BestPracticesforServiceModeling
StartWithaProblemWorth
Solving
BestPracticesforServiceModeling
StartWithaProblemWorth
Solving
• Whatarethetopbusinessservicesinyourenterprise?
• Howdoyoumeasurethecustomerexperiencewiththeseservices?
• Whatisthecustomerexperiencewiththeseservices?
CriticalServices
BestPracticesforServiceModeling
StartWithaProblemWorth
Solving
• Howoftendocustomersexperienceissueswiththeservice?
• Whenissuesarise,whogetsinvolvedinresolvingthem?
• Howdoteamsworktogethertoresolveissues?
IssueFrequency
BestPracticesforServiceModeling
StartWithaProblemWorth
Solving
• What’stheaveragetimetoissueresolution?
• What’stheimpactwhencustomershaveabadexperiencewithyourservices?
Impact
BringSubjectExpertsTogether
DesignBeforeConfiguring
BestPracticesforServiceModeling
StartWithaProblemWorth
Solving
DesignBeforeConfiguring
BestPracticesforServiceModeling
• DefineYourServices– Technical&Business• Functionsandtechnologythatsupportyourbusiness
• DefineYourKPI’s(KeyPerformanceIndicators)• Whataretheimportantmetricsthatindicategoodversusbad• Errorrates,responsetimes,transactionrate,cpu load,etc.
• DefineYourEntities• Whataretheinfrastructureresourcessupporting/deliveringmetricstodefineyourKPI’s
PuttingItAllTogetherServiceLayer SupplyChain
InfrastructureLayerServer©Server
ApplicationLayer OnlineStore EDI
WebTier Middleware Database
BusinessLayerOrderEntry ShippingManufacturing Fulfillment
ServiceHealth
UnitCountUnitFailures
ServiceLevel DeliveryTime
OnlineOrdersOnlineRevenue
ServiceHealth
CPULoadMemoryUsedDiskUsedIOLatency
CPULoadMemoryUsedDiskUsedIOLatency
ServiceHealth ServiceHealth
TotalOrdersTotalRevenueServiceHealth
DefiningServiceIntelligence
Enablingabusiness-awareITMeasuringandreportingonindicatorsthatmatter
UnlockingoperationalefficienciesCollaboratingacrosssilostoimproveserviceoperations
Data-baseddecisionmakingSolvingproblemsandanticipatingpitfallswithsophisticatedanalyticsandpowerfulinsights
COLLECTDATAFROMANYWHERE
SEARCHANDANALYZE
EVERYTHING
DELIVERREAL-TIMEOPERATIONALINTELLIGENCETOITANDTHEBUSINESS
THEPOWEROF
Order Analysis – Core SplunkRecord Systems
Payment Processing
Patient Queue Analysis
Patient Processing
Service Health Transactions
Co-Pay
Insurance
MHR
Check-InProcedures
Pharmacy
Assessment
Sign On Overall Health
Service Health Transactions Revenue
ERP
Notification
Utilization
Tracking
Logistics
Receipt
Order Analysis – Core SplunkManufacturing History
Logistic Analysis
Robotic State Analysis
Call Center Service
Service Health Transactions
ACD Analysis – Core SplunkCall Wait History
Inbound Analysis
Social Media
Online Msg
Social Media
Mail SupportVOIP Serivce
Inbound Calls
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