Modern System Intelligence: Making the Data Do the Work

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World ® ’1 6 Modern System Intelligence: Making the Data Do the Work Arun Vijayaraghavan, Sr. Principal Product Manager, Operational Intelligence CA Technologies MFX163S INTELLIGENT MAINFRAME MANAGEMENT

Transcript of Modern System Intelligence: Making the Data Do the Work

Page 1: Modern System Intelligence: Making the Data Do the Work

World®’16

ModernSystemIntelligence:MakingtheDataDotheWorkArun Vijayaraghavan,Sr.PrincipalProductManager,OperationalIntelligenceCATechnologies

MFX163S

INTELLIGENTMAINFRAMEMANAGEMENT

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©2016CA.Allrightsreserved.Alltrademarksreferencedhereinbelongtotheirrespectivecompanies.

Thecontentprovidedinthis CAWorld2016presentationisintendedforinformationalpurposesonlyanddoesnotformanytypeofwarranty. The informationprovidedbyaCApartnerand/orCAcustomerhasnotbeenreviewedforaccuracybyCA.

ForInformationalPurposesOnlyTermsofthisPresentation

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Abstract

LearnmoreaboutembeddedoperationalintelligenceandhowCAmainframesolutionsareleveragingthelatestanalyticstechnologytomeettheneedsoftheappeconomyandnextgenerationusers.Discoverthefutureofdata-drivenappsthatwillprescribewhatneedstohappennexttopreventsystemfailures,avoidperformanceproblemsandpreventsecurityincidents,withtheultimategoalofzerotouchmanagementandreducedMTTR.

ArunVijayaraghavan

CATechnologiesSr.PrincipalProductManager,OperationalIntelligence

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Agenda

DATAANALYTICSANDTHEMAINFRAMEOPPORTUNITY

INTELLIGENTMAINFRAMEOPERATIONS

USECASES– PROBLEM,OPPORTUNITY,SOLUTIONS

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2

3

Q&A4

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EXPERTSYSTEMS&MACHINELEARNING§ AnalysisofHistorical,NearReal-time

plusLivedata§ DataMining,MachineLearning&

Autonomics§ SelfDrivingCars

DATAMINING&DECISIONSUPPORT§ AnalysisofHistorical&NearReal-timeData§ DataMining,Aggregations&Decision

Support§ NavigationToolswithTrafficUpdates

BI&STATISTICALANALYSIS§ AnalysisofHistoricalData§ BIReporting,Slicing/Dicing§ BasicNavigationTools

EvolutionofOperationalIntelligenceActionableAnalyticsWithSignificantAdvancesTowardsZeroTouchOperations

ANALYTICS1.0BUSINESSINTELLIGENCE

ANALYTICS3.0DATA-DRIVENAPPLICATIONS

ANALYTICS2.0BIGDATA

TechnologyTrend

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55%ofapps

dependonmainframe

70%world’scorporate

dataisonamainframe

70%oftransactionsflowthroughmainframe

64%increaseinmainframeworkloads

ANOMALYDETECTION

BUSINESSSERVICEMANAGEMENT

EXPERTSYSTEMS

SECURITYBREACH

DETECTION

IndustryOpportunityDataAnalyticsandtheMainframeOpportunity

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OurSolution– IntelligentMainframeOperations

USERS

Generalist

MAINFRAM

EOPERA

TIONS

Experts

Specialists

Automation

ENTERP

RISE

SUPP

ORT

ANOMALYDETECTIONREPORTING

MODERNIZATION

BUSINESSSERVICEPERSPECTIVES

EXPERTSYSTEMS

MTTR&FirefightingOptimizedPerformance&Efficiency

• Reacttothresholdevents

• Selfserviceviews• ModernU/X

• Predictanomalies

• Proactiveresponse

• Topologydiscovery

• Businessserviceperspectives

• Predictbusinessservicedisruption

• Rootcausehypothesis

• Resolution guidance

• Automateresponse

AutomationDataDrivenOperationsDataAnalyticsBI/StatisticalModeling

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BUDGET SME’s SLA’sSCOPE DATASECURITYTHREATOPERATIONAL

CONSTRAINTS

ExpertSystems

BusinessAgility

SecurityBreachDetection

IntelligentAutomation

BUSINESSBENEFITS

ComplexityStaff

Experience CostTransactionSecurity

BUSINESSCHALLENGES

EndU/X SLA’sNotMet

OPERATIONALCHALLENGES

MTTR

OPERATIONALBENEFITS

GreatU/X

SLA’sMaintained

ReducedMTTR

LostOppRevenueRisksBOTTOMLINE

RevenueRisks

IncreasedRevenue

ReducedRisk

TheImpacttoYourBusinessWhyshouldyoucare?

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IntelligentMainframeOperations- LiftingtheBurden

DATA-DRIVENAPPLICATIONS

ANALYTICALTOOLS&SKILLS

IN-HOUSEDATASCIENCE

IN-HOUSEDOMAINEXPERTISE

+

+

YOURBURDEN MainframeTeamCenter

LettheDATAdotheWORKforyou

DoMOREwithLESS!

Fueledby:§ advancedanalyticalgorithms

§ machinelearning

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MainframeTeamCenter- OperationalIntelligenceKeyCapabilitiesBeingDevelopedtoManagetheLifecycleofYourDataAssets

AnalyticsProcessing Multi-ChannelDelivery

Multi-ChannelDataCapture

DistributedDB2,Oracle,MySQL,

Cassandra...

MainframeVSAM,DB2,IMSDB,IDMS,DATACOM,

SMF,Syslogs,Vtape,CICS

It’syourdata,leverageittodotheworkforyou!

DataLifecycleManagement

• ReportDistribution• AnomalyAlerts• Ad-HocAnalysisTools• APIbaseddataaccess• Automationframeworks

ExpertSystemsAutonomics

Transport&Integration ScalableData

Storage

DataScienceandAnomalyDetection

BusinessIntelligence

ITOperationsIntelligence

APIManagement

MasterDataManagement

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DataDrivenApplicationsProblem,OpportunityandProposedSolution

CAMainframeOperationsIntelligenceandCASYSVIEW®14.2

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MainframeTeamCenter- ITOpsTeamPersona

SHERMANSystemsEngineer

RALPHSystemsPerformance

Analyst

MYPAINMonitoringmanysystems&devices

HELPMESimplifyalerts,

meaningandaction

MYPAINBottleneck– workon

allissues

HELPMEUnderstandappandsystemperformancecharacteristicsquickly

MYPAINFirefightingandidentifyinglikelysourcesoffuturefires

HELPMEInstantlyknowwhatchanges

maytriggerproblems

DEBBIENetworkEngineer

PETELevel1SupportAnalyst

CrossEnterprise

FREDApplicationDBA

ASHLEYLevel1SupportAnalystOperator/Mainframe

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USECASE:Sherman,Debbie,andFredhavedeepexperienceandskillsintheirrespectiveareas.Theyhatebeingcalledafterasystemproblemhasoccurredandbeingaskedtoprovethattheirareawasatfaultorinnocent.Theywouldlikeasystemthattellsthemwhentheirareaisbehavingabnormally,sothattheycanaddressitbeforeitcomestotheattentionoftheSystemsPerformanceEngineer.

• Operations,SystemsProgrammer,• NetworkEngineer,ApplicationDBA

PERSONA:

PROBLEM§ “Avoid,detectandpredictissuesthatmightbeaproblem”

§ “Thresholdsarehardtomaintainandgeneratelargeamountoffalsepositives”

§ “Abilitytoseemultipleviewsofdata”

§ “Abilitytocreateviewsofinformationfaster”

§ “ThecurrentU/Xpreventseasycollaborationandaccesstoanalytics”

AnomalyDetection– ProblemAvoidance/Prediction

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AnomalyDetection– ProblemAvoidance/PredictionSOLUTION§ Detectanomaliespredictissuesreal-

time,alertbasedonpredefinedrules§ Leveragehistoricaldataandmachine

learningfordynamicthresholds§ SimplifiedU/X– browseraccess&

designedforcollaboration

BOTTOMLINE§ HighAvailability§ Problemavoidance§ ReducedMTTR§ ReduceSMEdependenceforissue

detection

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AnomalyDetection– DeepDiveLetdatadotheworkforyou

Unlikely

MostLikely

Metric

Time

TypicalVolatility

Anomaly

Tasksready

tobedispatched

LessLikely

§ UtilizeHistoricaldata

§ DefinebandsofLikelyandunlikelyvalues

§ Maprealtimemetricstreamsagainstsystemdefinednormal

§ Multi-pointalertsgeneratedusingindustry-standardWestern-Electricrules

§ Makestaticthresholdsoptional!

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USE CASE:As someone owning IT operations and responsible for technology progress, my MF systems should exploitplatforms like Linux (X86 & Z) to offload data processing and non essential management capabilities. Lack ofthis capability limits the ability to extend the strengths of the mainframe with next generation technologythat is supported on Linux.

• BusinessOwner• TechnologyOwnerPERSONA:

PROBLEM§ “Helpmedeployyouranalyticssolutioninhoursnotdays”

§ “Nosignificantincreaseonmyteamsworkload,wearenotlinux experts”

§ “WeplantoexpandourzecosystemtoincludeLinuxandrequiretoolstoleverageourstrategy”

§ “Ensuringtechnologyprogresswithoutlosingthereliability/securityofMFishighvaluegoal”

§ ”Ensureanalyticssolutiondonotincreasemyoperationscostssignificantly”

SimplifiedDeployment– MinimizeCostandRisk

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SimplifiedDeployment– MinimizeCostandRisk

Web-basedUI

RestAPI

z/OS

PerformanceManagement

DatabaseManagement

RestAPIs

StorageManagement

SoftwareVirtual

Appliance

BENEFITS

LowCostcomputingNon-InvasiveRetainsSecuritySetupinMinutes

ANALYTICSSTREAM

EXISTINGPRODUCTS

Browser

SOLUTION

VirtualapplianceContainerizedPlug-n-playSimpleConfig GUI

MetricBaseline

AnomalyDetection

Correlations

Aggregation

HistoricalData

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OnDeckNext

Problem,OpportunityandProposedSolution

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USECASE:Asanadministrator(SystemorDB)IneedasimplifiedU/Xtoanalyzeperformancedata.ThisshouldincludeprebuiltintegrationofperformancedataintoascalableperformanceDB&alsoeasyaccesstothedataviadashboards,reporting,ad-hocanalysistools.CreatingacentralperformanceDBwithamodernmetricexplorationandvisualizationlayerhasbeenaconstantneedforseveralyearsnow

• SystemProgrammer,• SysAdmin,• ApplicationDBA

PERSONA:

PROBLEM§ “AsanexpertuserIjustneedquickandeasyaccesstothedata,IknowwhatIamlookingfor”

§ “WeneeddataintegrationtoolsthatcanupdateperformanceDB&relateddashboardsnearrealtime”

§ “IwanttocreateacustomdashboardandhavethesystememailmethesnapshotMondaymorning”

§ “Iwanttheabilitytoeasilycreatead-hocviewsofperformancedatathatcanbesharedwithjuniorstaff”

Reporting- PerformanceMetricsAnalysis

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Reporting- PerformanceMetricsAnalysisSOLUTION§ Highefficientperformancedataintegration

§ Scalabledatarepositoryformultiyearmetricanalysis

§ Modernvisualizationanddatadiscovery

§ Dashboardsandscheduledcustomreporting

§ Ad-Hocdataanalysisview

§ Designedforexpertslookingforquickaccesstodata

BOTTOMLINE§ ReducedMTTR

§ Improvedenduserexperience

Dashboards

Ad-HocViews

Usergeneratedreports

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CandidatesinDesignValidationLab

Problem,OpportunityandProposedSolution

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ExpertSystems– IntelligentMainframe

SME• SOLUTION§ AssistedtriagethathelpsfasterRCA,reduced

MTTRandfacilitatesbetterdecisions

§ Utilizecorrelationdatasciencetofindclustersofalertsandrelationships

§ Leveragemachinelearningandyourdatatothesystemtriageandisolatetheproblem

§ Systemlearnsfromexperts,helpsonboardjuniorstafffaster

BENEFITS§ ReducedMTTR

§ Higherproductivityofjuniorstaff

§ TransferofTribalknowledgetoanexpertsystem

§ Lowercostsofoperations,noincreaseinrisks

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2

4

1

2

3

4

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LEVERAGEDATAITSYOURASSET

MOVEFROMREACTIVETOPROACTIVE

DETECTANOMALIESAVOIDPROBLEMS

WrapUpandKeyTakeawayIntelligentMainframeOperationsandOperationalIntelligence

Expertuserswithdecadesofexperience

Highlycustomizable,flexibletoolkits

Basicsoftwareintelligence

InexperiencedusersnewtoMainframe

Toolsthatguideuserstodecisions

Predictivesoftware

intelligence

WeInviteyoutoparticipateinDesign@CAandTechPreview!

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“Tuningisthewaytohelpustosaveelapsedtimeand/orCPUresourcesandbythatcreatewell-performingapplications.Atoolwhichwillidentifyperformancedeviationsfromacreatedbaselinewillbeofagreatvaluetoachievethis.”

ITSERVICEPROVIDER

“Applicationperformanceandapplicationutilizationofz/OSCPUareofvitalinteresttousinordertosecureagooduserexperienceandtocontrolcost.Statisticalbaselineswouldbeveryhelpfulinthatmatter.”

EUROPEANINSURANCECOMPANY

WhatCustomersAreSaying…

“Adynamiclearningsolutionbasedoncontinueddataanalysisiskeytoprovidingus(thecustomer)theagilitytodealwithagrowingworkloadwiththesamenumberofresources.”

U.S.INSURANCECOMPANY

Registertoparticipateinvalidationat:validate.ca.com

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MustSeeDemosintheMainframeTheater:

IntelligentMainframe:AdvancedAnalytics

CAMainframeOperationsIntelligence:

PerformanceandNetworkMgmt

ApplicationMonitoring

Events&Automation

IntelligentMainframe:EventManagement&AutomationCAMainframeOperationsIntelligent

CAOPS/MVS®EventManagementandAutomation

IntelligentMainframe:End-to-EndPerformance

CACross-EnterpriseAPM

CAMainframeApplicationTunerCAUIMforzSystems

IntelligentMainframe:StorageManagement

CAVantage™StorageResourceManager

CA1®TapeManagementSystem

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Questions?

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Thankyou.

Stayconnectedatcommunities.ca.com

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MainframeandWorkloadAutomation

FormoreinformationonMainframeandWorkloadAutomation,pleasevisit:http://cainc.to/9GQ2JI