1、Orlando,FLOctober 69IBM TechXchange 20251974AI Driven Capacity Planning for IBM i Systems in Banking:A predictive and Proactive Approach Mark De ZoysaCommercial Bank of CeylonSenior Engineering ManagerAI Driven Capacity Planning for IBM i systemsAgenda0102030405Capacity PlanningChallengeAI for workl
2、oad predictionAutomation in Capacity ManagementFurther ImprovementIBM TechXchange|2025 IBM CorporationNavigator for Navigator for i i Historical DataMonitor and analyze performance trend using system metrics and reports IBM System Planning Tool IBM System Planning Tool Plan,Size and validate IBM i s
3、ystem configuration for optimal performanceCustomer Base growth and Evolving Application work loadsIncreasing Transactions VolumesCapacity planning and the challenge3IBM TechXchange|IBM Workload Estimator IBM Workload Estimator Forecast system capacity needs based on workload growth and business req
4、uirement Seasonal Peaks and Sudden workload fluctuations 20212022202320242025Customer Registration20212022202320242025AI for work load PredictionModelTypeCategoryARIMAStatisticalSmall to medium datasets,stable workloads with predictable short-term patternsLSTMNural NetworkLarge environments with yea
5、rs of detailed data and complexXGBoost Machine LearningHigh AccuracyProphetAdditive Regression with TrendsBusiness data with clear seasonality and weighting facilityIBM TechXchange 4Automation in Capacity Management IBM i SQLExtract Performance MetricesCheck CPU and other parameters against preset t
6、hresholdsCompare against defined ThresholdsUse HMC API to add more resources to Enterprise poolIf thresholds ExceededGenerate alerts and ReportsTrigger Alers and generate reportsIBM TechXchange 5Further ImprovementsVisualization Visualization DashboardsDashboa