技术创新投入与商业价值平衡

1、技术创新投入与商业价值平衡技术创新，变革未来CEO Top Business Prioritiesfor 2017 and 2018Growth 58%IT-related 31%Corporate23%Customer21%Product20%Financial16%Workforce16%Costmanagement16%Marketing8%Quality improve- ment7%GRC 7%Sales 6%Submentions Within the IT-Related Category of CEO Business PrioritiesTechnology,general

2、Digital,social,web,online Digital transformation Improvement general Info,analytics and big data Cloud-relatedAutomation Cybersecurity loT-relatedMobile and m-commerce E-commerceWorkforce productivity Digital marketing Multichannel1%1% 1%技术投入生产力兑现技术创新的潜在收益技术创新风险加剧业务复杂性加剧提升客户体验下降产品、运营、运维研发效率降低业务与系统拓扑

3、可视与数据整合能力不足数字化转型与技术创新没有目标度量是什么驱动技术创新-“填坑”技术债“成本”优先提高系统可用性与稳定性业务扩张从数据中心出发面向基础架构的监控基础架构应用程序ServerOSDBMQWe bJVM99.99%99.99%99.99%99.99%最终用户体验基础架构应用程序WebJVM最终用户体验已 经过 时Gartner对性能分析技术的趋势判断Hype Cycle for IT Performance Analysis, 2017Network Fault ManagementtimeArtifical Intelligence for I Operations (AIOp

4、s) PlatformsTDNetwork Performance Monitoring andiagnostics ToolsUAppIT ICloud Management PlatformsDynamic Optimization TechnologyDigital Experience MonitoringWireless Network Monitoring ToolsAs of July 2017Plateau of ProductivitySlope of EnlighenmentTrough of DisillusionmentPeak of InflatedExpectati

5、onsInnovation TriggerDITEvent Correlation and Analysis Toolsnfrastructure Monitoringlication Performance Monitoring SuitesexpectationsCapVirtnified Communications Monitoring Toolsacity Planning and Management Tools ual Desktop Infrastructure MonitoringevOpsles25m Os than 2 yearsto 5 yearsto 10 years

6、ore than 10 years bsolete before plateauPlateau will be reached:Gartner对性能分析技术的趋势判断transformationalhighmoderatelowAs of July 2017Priority Matrix for IT Performance Analysis, 2017benefityears to mainstream adoptionless than 2 years2 to 5 years5 to 10 yearsmore than 10 yearsApplicationPerformance Moni

7、toring SuitesDevOpsArtifical Intelligence for IT Operations (AIOps) PlatformsCapacity Planning and Management ToolsDigital Experience MonitoringDynamic Optimization TechnologyIT Event Correlation and Analysis ToolsNetwork Fault ManagementCloud Management PlatformsIT Infrastructure MonitoringNetwork

8、Performance Monitoring and Diagnostics ToolsUnified Communications Monitoring ToolsVirtual Desktop Infrastructure MonitoringWireless Network Monitoring ToolsApplication Performance Monitoring SuitesDevOpsGartner 认为APM是实现DevOps的必要工具组件诊断事务追踪最终用户体验管理QAQUALITY ASSURANCEDevelopmentSOFTWAERE ENGINEERINGOp

9、erationsDevOpsAPM在Docker和微服务场景下重要作用N=85;Base：Organizations IT department monitors microservice-based applications in the futureYes, Expect to monitor in The future47%We do not use microservice- based Applications32%容器化和微服务化趋势带来应用复杂度的提升，需要APM解决方案提供一致和完整的调用链监控数据Not sure11%No 6%Already Monitoring 4%0%2

10、0%40%By the end of 2016In 2017In 2018In 2019 or laterNot sure11%13%22%38%16%wa数据是核心，建立更加一体化的监控 体系，并基于数据加强运维自动化IT管理者需要基于数字化转型更新 性能监控策略从数字化用户体验层出发，并与 业务数据做关联分析建立用户体验视角的性能监控体现的几点建议应用分析及优化业务及用户分析智能告警诊断分析数据可视化反劫持CDN智能调度听云App听云Browser听云Network听云Server听云Sys运营情况分析营销效果分析用户体验分析用户体验监控应用性能监控终端用户的体验分析全栈溯源的问题追踪基于大数据的行业基线对标基于机器学习的自动根因分析自动发现及关联自动基线自动根因诊断自 动分钟级数据收集分钟级展现分钟级告警实 时定位到每一个用户定位到每