构建多智能体 AI SRE:从根本原因到氛围调试(由 Resolve AI 赞助).pdf

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构建多智能体 AI SRE:从根本原因到氛围调试(由 Resolve AI 赞助).pdf

1、 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Mayank AgarwalFounder&CTOResolve AIClaire YinResearch EngineerResolve AIChris UmbelAIOps Lead&SREZscalerBuilding multi-agent AI SRE:from root cause to vibe debugging

2、A I M 3 9 4-SClaire YinResearch EngineerResolve AIMayank AgarwalFounder&CTOResolve AI Chris Umbel AIOps Lead&SRE ZscalerCreative workGrunt workCreative workGrunt workCreative workGrunt workBy next re:Invent software engineering will look fundamentally differentModelsAgentsClosed loop agentsDevelopme

3、ntDeploymentsOn-callIncident troubleshootingCost managementComplianceSecurity VulnerabilityDocumentation.Todays software engineering requires grunt work across multiple teams and fragmented systemsCode&CI/CDServicesInfraTelemetryKnowledgeSystemsApplication and productSystems and infraL1/L2/L3 on cal

4、l/SRESecurityTeamsWorkflowsNetworkingCodePlatformEngineersSecurityEngineersToolingInfra100s of services across 10s of teamsComplex,ephemeral infra with databases,messaging services and moreComplex,ephemeral infra with databases,messaging services and moreInefficient workflows impact revenue and cost

5、s every dayApplicationEngineersSREsIT OpsSupportEngineersInfrastructure spend is constantly increasingLot of costs incurred in maintaining toolsAI generated code exacerbates the problemChanges take long to get deployed and trigger issuesOnly small#of engineers fully understand prodCustomers report i

6、ssues before we discover themIncidents take hours or days to resolveIncidents regularly involve 20+engineersTakes 3-6 months for new engineers to onboardInefficient workflows lower engineering productivitySoftware Engineeringand more.applicationdeploymentCodingProductionChange roll outIncident troub

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