3122 - 利用人工智能驱动的可观测性提升运营效率.pdf

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1、Orlando,FLOctober 69IBM TechXchange 2025Session code 3122Isabell SippliIBM,Distinguished EngineerJacob YackenovichIBM,Program Director,Product ManagementDrive operational efficiency with AI-powered observabilityAgenda01020304The observability challengeThe solutionInstana InnovationTakeawaysIBM TechX

2、change|2025 IBM CorporationThe observability challengeIBM TechXchange|2025 IBM Corporation3IT complexity creates a cascade of challenges Slow mobile application releases can result in up to USD 10 million in annual revenue impact1Data overloadRapidly evolving IT industriesCloud-first strategy shifts

3、Stack complexityIBM TechXchange|2025 IBM Corporation4Limited AI and automationSiloed data setsNon deterministic systemsOperational frictionInfrastructure complexity70%companies state overprovisioning as the biggest factor for operational overspend2Increase incident response time can result in an imp

4、act of USD 800 thousand per incident3Source:1.Slow mobile app releases cost over$100,000 in lost revenue per year for 75%of companies2.CNCF Cloud Native FinOps+Cloud Financial Management Microsurvey3.Customer impacting incidents increased by 43%during the past year-each incident costs nearly$800,000

5、MacrotrendsTechnology challengesOperational challengesBusiness waste81%of IT leaders say data silos are hindering digital transformation efforts588%of technology leaders say the complexity of their tech stack has increased in the past 12 months44.State of Observability:Surveys Show 84%of Companies S

6、truggle with Costs,Complexity,Tools,Datamation5.85%of IT Leaders See AI Boosting Productivity,but Data Integration and Overwhelmed Teams Hinder SuccessGenAI accelerated DevAI AgentsThe solution:IBM InstanaIBM TechXchange|2025 IBM Corporation5Its time to move from monitoring to observing IBM TechXcha