公司规模
Mid-size Company
国家
- United States
产品
- SpringServe
- Datadog
- AWS Kinesis
- Amazon Elastic Load Balancing (ELB)
技术栈
- Cloud Computing
- Real-time Analytics
- Data Streaming
实施规模
- Enterprise-wide Deployment
影响指标
- Revenue Growth
- Productivity Improvements
- Customer Satisfaction
技术
- 平台即服务 (PaaS) - 数据管理平台
适用功能
- 销售与市场营销
- 商业运营
用例
- 实时定位系统 (RTLS)
- 质量预测分析
服务
- 云规划/设计/实施服务
- 数据科学服务
关于客户
SpringServe 是一个视频广告服务器平台,每天处理数百亿个广告请求。该平台从发布商网络收集视频广告机会,将其分发给实时竞价者,并在发布商的资产上投放中标广告 — 所有这些过程都在 100 毫秒内完成。然后,需求方和供应方客户能够使用 SpringServe 的仪表板丰富的用户界面优化其当前和未来的广告分配,该用户界面通过精细的实时广告活动指标提供透明的市场视图。SpringServe 的业务取决于其在不同需求水平下快速、一致地投放视频广告的能力。如果不能及时响应广告机会,SpringServe 和发布商将损失收入,广告商将错失机会,而竞争广告平台则可能获胜。
挑战
SpringServe 是一个视频广告服务器平台,其自托管监控堆栈面临挑战,无法关联系统之间的指标,因此很难在问题直接影响客户体验之前发现并解决问题。随着 SpringServe 的基础设施变得更加动态和分散,以在全球范围内提供更好的服务,严重的盲点阻碍了这些努力。他们无法跨地区跟踪应用程序性能,也无法关联系统之间的指标以发现问题的根源。SpringServe 需要一个可靠的实时监控解决方案,可以跟上其自动扩展基础设施的步伐,使他们能够采用创新技术,并保持快速增长,而不会牺牲客户所依赖的速度或一致性。
解决方案
SpringServe 求助于 Datadog 来获取实时、精细的数据,使他们能够监控其基础设施和自定义应用程序的每一层,在问题影响业务之前发现问题。Datadog 会根据 SpringServe 的基础设施覆盖范围自动扩展,并关联来自各种应用程序的指标,使工程师能够快速调查问题。通过全面了解其堆栈,SpringServe 的团队现在可以投入更多时间来提供创新产品和改善客户体验。Datadog 的内置集成使 SpringServe 能够立即了解其最关键的系统,使他们能够轻松预防性能和容量问题。通过在 Datadog 中跟踪广告投放过程的每个阶段,SpringServe 能够主动降低整个平台的风险和延迟,并随着时间的推移增加他们为客户提供的价值。
运营影响
数量效益
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