Bronto：大规模无损日志存储（由 Bronto 赞助）.pdf

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1、 2025,Amazon Web Services,Inc.or its affiliates.All rights reserved.Mike Neville-ONeillHead of ProductBrontoBenoit GaudinField CTO&Head of InfrastructureBrontoAodh OMahonySenior Software EngineerTeamworkBronto:Logs at Scale Without Compromise D V T 2 2 4-SThe Problem at its CoreCoverageComplexityPri

2、cing of Legacy Logging solutions are too expensive at large scaleEgregious costs means companies must be highly selective when it comes to which logs to ingest and which logs to retain and for how long-resulting in very scant log coverageIn an attempt to combat the coverage compromise,companies use

3、on average between 5-8 other logging solutions,creating a disparate,hodgepodge of solutions thats complex and cumbersome to manageCostThe 3C Flywheel of CompromisesAll your logs,always hot12 Month retention by defaultPetabyte scaleCents,not dollars per GBTransparent usage&billingIntegrate with any a

4、gentAI-Powered Log ManagementSub-Second SearchFeatures:Reduce MTTR+Remove ToilAI Generated ParsersAI Dashboard CreationStatement IDsDistributed TracingAI InvestigationsName SuggestionGenerate dashboards with a single promptConsistent Structure User AssistanceError Explanation Investigation Recommend

5、ationLog Pattern IdentificationCross-Service CorrelationAutomatically names and describes alerts,parsers,dashboards,ect.Security and ComplianceSecurity and ComplianceIdentity andAccessManagementWebApplicationFirewallCertificate ManagerSecretsManagerGuardDutyCognitoInspectorBronto ArchitectureBronto

6、ArchitectureElastic Compute CloudManaged Streaming for Apache KafkaLambdaElastic Compute CloudCloudfrontSimple Storage ServiceDynamoDBVerifiedPermissionse.g.FluentBitOTEL CollectorWeb UIAPIAWS+BrontoVisibility Without CompromiseRetentionSub-second performance over large datasetsSee Bronto Blog for m