智能運(yùn)維分析OperatingSystemsApplicationsERPsystemsTSOM.TIM,TAM,ISSOXE,NVz/OSITCAM

(包括ISM)交易管理

EnduserTransactionWebApplInstr.300+ProbesAdditionalKPI&BusinessSupportDataCorrelation服務(wù)臺(tái)、變更與配置管理通用展示平臺(tái)通用報(bào)表綜合IT服務(wù)保障架構(gòu)運(yùn)維流程自動(dòng)化JazzforServiceManagementWire-lineNetworksWirelessNetworksServiceDashboardTBSM/CIO儀表盤TNSQMModelsEventsDiscoveryKPI/KQIDataMiddlewareResourceMetrics&EnterpriseWarehousing

Banking&ServiceProviderNetwork網(wǎng)絡(luò)可用性、拓?fù)洹⑿阅芎团渲霉芾鞹opologyRCAITNMTNCMTNPMPerf.MgmtConfigMgmt服務(wù)質(zhì)量與服務(wù)水平管理業(yè)務(wù)流程

自動(dòng)化ProcessManagersCCMDBTADDMOMNIbus–集中事件管理平臺(tái)服務(wù)器、系統(tǒng)、應(yīng)用和存儲(chǔ)性能和可用性管理MainframeITMDistributedTSM/TPCImpact–高級(jí)事件關(guān)聯(lián)Perf.Automation安全管理

子系統(tǒng)TSRMOthersTCR-通用報(bào)表NetworkManagement智能運(yùn)維分析專注

認(rèn)知

敏捷集成簡(jiǎn)化操作流程、人工設(shè)定、和分析判斷，以快速價(jià)值實(shí)現(xiàn)并降低總擁有成本智能運(yùn)維之認(rèn)知分析

–三個(gè)指導(dǎo)原則持續(xù)學(xué)習(xí)MachinelearningtoestablishandmaintainthresholdsacrossITapplicationsandresources介入&修正Detectemergingissuesacrossservices,proactivelyalert,andcognitivelyadjusttochanges

專家建議Provideexpertadviceforcorrectiveactionsandgreaterserviceassurance智能運(yùn)維架構(gòu)SystemOverview

DashboardApplicationServicesHub(DASH,theUIforJazzforServiceManagement)providesasingleconsoleforadministering

productsandrelatedapplications,providingdashboardsthatcantietogetherallaspectsofITSMsolutionsand

OperationsAnalytics.Thesecanbeconfigureddifferentlyformultiplestakeholders,dependentonrequirements.PredictiveInsightscapabilitiesprovidedby

PredictiveAnalyticsdiscoveranomaliesbyanalyzingmetricscollectedfromallITOperationsmanagedsystems,enablingpredictionofwhereoutagesarelikelytooccur.PredictiveInsightscandiscoveranomaliesonindividualmetricsandongroupsofmetrics.KPIpredictionisperformedwithPerformanceAnalyzerandSPSSplug-in.SearchcapabilitiesprovidedbyIOALogAnalysisconsolidatesalargebreadthofdatafromITSMsolutionsandmanagedsystemssuchasevents,logsandmore.OptimizationacrosstheITInfrastructureisachievedusingthe

OperationsAnalyticsfeaturesincludingNetcoolOperationsInsights:AutomaticThresholdMaintenance,AnomalyDetectioninPI,SearchableDatainLA,EmbeddedExpertAdvice,SeasonalEventAnalytics,CapacityManagementandRelatedEventGrouping.

ITSMportfoliosolutionssuchas

ControlDesk,

APM,

Monitoring,

NetworkManager,NetcoolOperationsInsightandothersprovideITOperationsdatatotheanalyticsstack.ThesetoolsprovidenewmethodstopinpointproblemsresultinginreducedMeanTimeToRepair(MTTR).FurthermoretheyenableOperationspersonnelspendmoretimeinvestigatingrealproblemsinsteadofchasingandclassifyingsimpleevents.???AutomationDashboard/ITOperations?????

OperationsAnalyticsconsumeperformanceandlogdatausingpre-definedInsightPacksthatareavailableformanyapplicationsandtechnologies.InsightPacksareusedtoprovidespecificlogicforingestingloginformationandpresentinganalyticdashboardstodrilldownonconcerns.OperationsAnalyticsderivemeaningfromthedatasources.Metricscanbeusedtopredictcostlyoutages.Events,logsandticketscanbeanalyzedtogetherforcorrelation,andtounderstandwheneventsoccurinpredictableseasonalpatterns.Eventscanalsobegroupedbasedontopologyknowledgeandasingleticketcanbeopenedagainsttheprobablecause.Applications|Systems|Workloads|Wireless|Network|Voice|Security|Mainframe|Storage|AssetsOptimizeEventGroupingsSeasonalEventAnalysis

SearchLogfilePatternAnalysisConsolidatedEventForensics

IOALogAnalysisPredictProactiveOutageDetectionDynamicThresholdManagementIOAPredictiveAnalyticsNetcoolOperationsInsightsApplicationPerformanceEventManagementSystem&NetworkMonitoringControlDeskTicketingAsset&ChangeManagementStakeholderDashboardsITOperationsDevelopmentLineofBusiness???

OperationsAnalyticsCapabilitiesTraditionalITSMSolutionsManagedSystemsITSMPortfolioIntegrationsTheeraofanalyticsprovidestheabilitytoaggregatemanysourcesofdataforanalysisusingthelatestcapabilitiesinbigdatatohandlethediversesetofinformationavailableabouteachclient’sITinfrastructure.InsteadofhavingtoanticipatealloftheproblemswhilecreatinganITSMinfrastructure,newanalyticscapabilitiesprovideavastsetoftoolstohelpidentifyproblems.?Sources:Metrics,events,logs,tickets,configurations,assets,SLAs,runbooksInsightPackEcosystemIntegrations??NetcoolOperationsInsight提供創(chuàng)新的智能分析,優(yōu)化提升運(yùn)維價(jià)值A(chǔ)dvancedITEventCorrelationandAnalysisEventAnalyticsandSearchEventEnrichmentCommonUIfordashboardsAvailableFeatures:NetworkDiscoveryandRootCauseAnalysisNetworkConfigurationAutomationandAuditNetworkPerformanceManagementIT運(yùn)維認(rèn)知分析核心功能靈活可定制、支持移動(dòng)智能終端、敏捷高效的儀表板監(jiān)控畫(huà)面創(chuàng)新的海量事件實(shí)時(shí)認(rèn)知分析，有效提升監(jiān)控效率和敏捷度基于Netcool成熟技術(shù)增強(qiáng)開(kāi)發(fā)實(shí)現(xiàn)預(yù)定義，快速對(duì)接，快速實(shí)現(xiàn)可靈活集成組裝及第三方方案與功能智能運(yùn)維分析–

NetcoolOperationsInsight智能運(yùn)維分析–

NetcoolOperationsInsightNetcool提供創(chuàng)新的大數(shù)據(jù)智能分析,提高運(yùn)維價(jià)值并在整個(gè)IT環(huán)境降低成本

事件日志周期性規(guī)律分析Alertingbeforepotentialissuesbecomeserviceimpacting,enablingITtoshiftfromreactivetoproactive事件日志上下文歷史挖掘分析Nocomplexmanualinterventiontosetup&maintainwith5timesfasterprocessing事件日志成對(duì)成組出現(xiàn)分析Deliveredcontentforgroupingwellknownevents.Upto90%reductionineventsoutofthebox事件日志相關(guān)與因果分析Discoverclustersofeventsthatoccurtogether,automaticallygroupthemforcontext告警發(fā)生之周期性時(shí)間規(guī)律學(xué)習(xí)某應(yīng)用端口Down固定發(fā)生在每天早上6點(diǎn)到6點(diǎn)半之間，且每周、每月內(nèi)發(fā)生頻率均衡分布某Web容器線程池使用率在下午3-4點(diǎn)通常會(huì)到達(dá)99%，早上9點(diǎn)前及晚上8點(diǎn)后從未發(fā)生，且每周一到周三發(fā)生頻率最高，周四到周日負(fù)載逐級(jí)下降告警發(fā)生之周期性時(shí)間規(guī)律學(xué)習(xí)100%周期性出現(xiàn)的告警種類告警發(fā)生之周期性時(shí)間規(guī)律學(xué)習(xí)告警發(fā)生之相關(guān)性規(guī)律學(xué)習(xí)機(jī)器自學(xué)習(xí)策略設(shè)定：強(qiáng)、中、弱關(guān)系學(xué)習(xí)告警發(fā)生之相關(guān)性規(guī)律學(xué)習(xí)8類告警在歷史上成組出現(xiàn)5次，強(qiáng)關(guān)系策略可確定這8類告警只可能同時(shí)出現(xiàn)，可依次跟蹤其中7類告警圍繞核心事件（PivotEvent）出現(xiàn)的相對(duì)時(shí)間，以時(shí)間線（Timeline）體現(xiàn)告警發(fā)生之相關(guān)性規(guī)律學(xué)習(xí)7類告警在歷史上成組出現(xiàn)92次，強(qiáng)關(guān)系策略確定這7類告警只可能同時(shí)出現(xiàn),可依次跟蹤其中6類告警圍繞核心事件（PivotEvent）出現(xiàn)的相對(duì)時(shí)間，以時(shí)間線（Timeline）體現(xiàn)告警發(fā)生之相關(guān)性規(guī)律學(xué)習(xí)機(jī)器學(xué)習(xí)得到的分組規(guī)律經(jīng)管理員激活或自動(dòng)生效，在告警列表以分組形式展現(xiàn)，可展開(kāi)由核心或疑似根源告警（PivotEvent）收斂的派生告警列表告警發(fā)生之相關(guān)性規(guī)律學(xué)習(xí)

–GeneralizedPatterns300%ImprovementinreducingactionableeventsthroughautomatedgroupingacrossmanagedenvironmentRelatedEventAnalyticsRelatedEventAnalyticsGeneralisedPatterns3relatedeventsEventGroupSameevents,differentresources特定設(shè)備告警事件相關(guān)性特征的自動(dòng)發(fā)現(xiàn)針對(duì)同類設(shè)備同類告警事件的相關(guān)性特征統(tǒng)一生效Rapid“nocoding”creationofnewGroupingCriteriainlessthanoneminute

AdvancedRelatedEventAnalytics@某大型管理服務(wù)提供商采用NOI使告警處理數(shù)量的減少比例提高了4倍事件實(shí)時(shí)關(guān)聯(lián)+認(rèn)知分析極大降低管理成本，加速問(wèn)題定位RelatedEventAnalyticsScope1months的數(shù)據(jù)包含5百20萬(wàn)條告警事件PotentialSavingsLargeBankEventSeasonalityAnalyticsRelatedEventAnalytics超過(guò)

30,794

個(gè)工單事件具備非常明顯的周期性特征（HighlySeasonal）.潛在工單數(shù)量減少比例超過(guò)

13%Scope6months的數(shù)據(jù)包含240萬(wàn)條告警，生成23萬(wàn)工單PotentialSavingsHealthCareProviderRelatedEventAnalytics工單數(shù)量減少了6,324個(gè)，噪音降低減少了

520,624

條事件呈現(xiàn)到運(yùn)維監(jiān)控人員Scope1month的數(shù)據(jù)包含4百萬(wàn)條告警事件PotentialSavingsLargeTelco$4.7M特征提取識(shí)別出61,931個(gè)事件分組，分組包含的告警事件數(shù)量從2到1761條不等$632k16,405

個(gè)工單可以被歸納為一個(gè)工單，簽證運(yùn)維成本降低超過(guò)

7%$1,76M特征提取識(shí)別出15,194

個(gè)事件分組，分組包含的告警事件數(shù)量從2到2316條不等工單數(shù)量減少了17,579個(gè)，

呈現(xiàn)給操作員的告警事件數(shù)量減少了208,000條客戶價(jià)值驗(yàn)證–

NetcoolOperationsInsight11月13日上午8:30始出現(xiàn)多個(gè)指標(biāo)趨勢(shì)背離預(yù)警，大多和貴金屬營(yíng)運(yùn)系統(tǒng)相關(guān)，最先報(bào)出的是貴金屬交易數(shù)和DB處理時(shí)間從緩慢然后到急劇升高，隨后是交易失敗數(shù)和隊(duì)列等待數(shù)從緩慢到急劇升高，9:30左右2個(gè)MQ隊(duì)列阻塞至上限，Granger分析給出指標(biāo)間因果關(guān)系，導(dǎo)致該問(wèn)題的主要原因?yàn)橘F金屬并發(fā)交易數(shù)過(guò)大導(dǎo)致DB處理時(shí)間過(guò)長(zhǎng)，并進(jìn)而導(dǎo)致交易請(qǐng)求隊(duì)列阻塞。結(jié)構(gòu)化數(shù)據(jù)認(rèn)知學(xué)習(xí)和預(yù)測(cè)–PredictiveInsightSridharan,D.,Levitin,D.J.&Menon,V.Acriticalrolefortherightfronto-insularcortexinswitchingbetweencentral-executiveanddefault-modenetworks.ProceedingsoftheNationalAcademyofSciencesoftheUnitedStatesofAmerica105,12569-12574(2008).從實(shí)時(shí)到歷史的上下文挖掘–LogAnalysis

ExpertAdviceAnycompetitorcanisolateproblems.helpsclientsquicklyresolvethemBreadthofSearchableDataSearchacrossallofyourIToperationaldatatoquicklyresolveissues

OpenPlatformforApacheHadoopEntitlementand24/7supportforthe

ApacheHadoopdistributionforlong-termdatastorageandhistoricalanalysisInsightPackEcosystemCatalogofappstoprovideadditionalinsightsintodomain-specificareas挑戰(zhàn)：為了定位影響服務(wù)故障在應(yīng)用和基礎(chǔ)架構(gòu)層面的原因，需要實(shí)時(shí)上下文挖掘分析海量結(jié)構(gòu)化和半結(jié)構(gòu)化運(yùn)維數(shù)據(jù)NOI擴(kuò)展功能組件從數(shù)據(jù)、界面到功能的集成統(tǒng)一，優(yōu)化客戶體驗(yàn)海量大并發(fā)告警事件的采集匯總和關(guān)聯(lián)事件認(rèn)知分析事件自動(dòng)化響應(yīng)和通知PoweredbyOMNIbusPush-buttonOptimization,

makethemostofNetcoolwithAdvicefromAnalyticsHealthDiscoveryTopologyComplianceConfigurationIntegratedDynamicApplicationDependencyDiscoveryformaximumServiceValueAvailableasTADDMandTBSMtodayAPMNetworkFlowMonitorInfrastructureApplicationsIStorageIComputeINetwork性能管理事件認(rèn)知分析網(wǎng)絡(luò)管理服務(wù)管理Intelligentguidance,context,automationandnotificationsthroughouttheoperationsmanagementprocess敏捷運(yùn)維&知識(shí)共享NetcoolOperationsInsightIT運(yùn)維智能分析能力擴(kuò)展NewNewEnhancedEnhancedUpdatePlannedRunbookAutomationAlertNotification提升運(yùn)維自動(dòng)化能力：

日常操作自動(dòng)化，交流與知識(shí)共享，

以加速解決日常運(yùn)維常見(jiàn)問(wèn)題。

迅速延伸已有Netcool方案能力，和快速投資回報(bào)的實(shí)現(xiàn)CreateandExecuteRunbooksandAutomatedtasksforfaster,morerepeatableandconsistentproblemresolutionRunbookAutomation

Escalationpolicies,notifications,andalertanalyticsfordrivinggreaterefficiencies

inrespondingtoITsituationsandcustomerproblemsAlertNotificationDesignedtoworkseamlesslywithexistingsolutions–workwithon-premtoolswiththebenefitsofCloudImproveROI-immediatevalueaddandimprovedROIonexistinginvestmentsContinuouslydriveoperationalefficiencyandknowledge–built-intrackingandanalysisofautomatedIToperationalactivity敏捷運(yùn)維與知識(shí)共享–NOIRBA&ANSNOIforNetworkManagement融合認(rèn)知分析技術(shù)的網(wǎng)絡(luò)管理網(wǎng)絡(luò)自動(dòng)發(fā)現(xiàn)和故障根源定位End-to-endvisibilityofyourphysicalandvirtualnetworkinfrastructurewithautomaticnotificationofalarmsthatrequireoperatoraction網(wǎng)絡(luò)配置自動(dòng)化Driveprocessautomationforrepeatableconfigurationactivitiestominimizeerrorsandimproveoperationalperformance網(wǎng)絡(luò)配置合規(guī)性管理Controltheprocessofconfigurationchangeandcomplianceintheoperationsenvironment網(wǎng)絡(luò)流數(shù)據(jù)分析Providesvisibilityintoflowsacrossthenetworkgivingvisibilityintowhichapplicationsareconsumingnetworkresources.NetworkPerformanceManagementoption一體化網(wǎng)絡(luò)健康儀表板視圖–高效運(yùn)維保證用戶體驗(yàn)變革–精簡(jiǎn)、實(shí)用、高效、