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A Proactive Approach to Data-Driven Observability
技术
- 分析与建模 - 实时分析
- 应用基础设施与中间件 - API 集成与管理
适用功能
- 商业运营
- 销售与市场营销
用例
- 预测性维护
- 实时定位系统 (RTLS)
服务
- 软件设计与工程服务
- 系统集成
挑战
Compass 是一家房地产经纪公司，该公司的业务正在呈指数级增长，需要一种可持续的监控策略，该策略可以随着工程组织的发展而扩展。他们使用的是一套不同的监控产品，这意味着工程师通常必须使用多种工具来解决一个问题。这种不断的上下文切换造成了团队之间的摩擦，并导致工程师精疲力竭。此外，他们用于监控前端堆栈的单点解决方案由于对用户配置的支持不佳而引入了过多的管理开销，并且经常由于配置不当而产生误报。随着 Compass 迅速扩大其工程团队，这个过程成为了瓶颈，不再令人接受。
关于客户
Compass 是一家成立于 2012 年的房地产经纪公司。该公司帮助代理商和客户改善他们在美国购买、出售和租赁房屋的方式。该公司通过构建技术为其代理商提供智能和无缝的体验，在房地产行业建立了先发优势。在筹集了超过 10 亿美元的资金后，Compass 开始通过收购全国一些最好的经纪公司来进一步推进其增长计划。为了继续吸引最好的房地产经纪人、租户、买家和卖家，Compass 建立了一个以客户为中心的技术平台，以简化和自动化房地产市场中的日常任务。Compass 的差异化功能之一是私人专属：代理商可以直接与买家分享的非公开房屋。
解决方案
Compass 转向 Datadog 的基础设施监控解决方案并扩大了其使用范围，因为他们看到了在同一平台上监控所有指标、跟踪和日志的价值。他们用 Datadog 合成监控取代了他们的前端解决方案，这使他们能够通过在单一管理平台中无缝关联合成测试结果与后端性能数据来获得全栈可见性。借助 Datadog 的网络记录器，团队能够创建多步骤浏览器测试来模拟用户旅程，并将其配置为从全球各个位置执行。这使他们能够确认失败的测试结果将自动发送给正确的个人。Datadog 合成监控对于帮助 Compass 从被动监控策略过渡到主动监控策略至关重要。现在，值班工程师会在合成监控检查失败时收到通知，并可以快速获得他们需要的端到端上下文，以回答过去需要几天时间才能调查的问题。
运营影响
数量效益
相关案例.
Case Study
Remote Monitoring & Predictive Maintenance App for a Solar Energy System
The maintenance & tracking of various modules was an overhead for the customer due to the huge labor costs involved. Being an advanced solar solutions provider, they wanted to ensure early detection of issues and provide the best-in-class customer experience. Hence they wanted to automate the whole process.
Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
Case Study
Aircraft Predictive Maintenance and Workflow Optimization
First, aircraft manufacturer have trouble monitoring the health of aircraft systems with health prognostics and deliver predictive maintenance insights. Second, aircraft manufacturer wants a solution that can provide an in-context advisory and align job assignments to match technician experience and expertise.
Case Study
Integral Plant Maintenance
Mercedes-Benz and his partner GAZ chose Siemens to be its maintenance partner at a new engine plant in Yaroslavl, Russia. The new plant offers a capacity to manufacture diesel engines for the Russian market, for locally produced Sprinter Classic. In addition to engines for the local market, the Yaroslavl plant will also produce spare parts. Mercedes-Benz Russia and his partner needed a service partner in order to ensure the operation of these lines in a maintenance partnership arrangement. The challenges included coordinating the entire maintenance management operation, in particular inspections, corrective and predictive maintenance activities, and the optimizing spare parts management. Siemens developed a customized maintenance solution that includes all electronic and mechanical maintenance activities (Integral Plant Maintenance).
Case Study
Leading Tools Manufacturer Transforms Operations with IoT
Stanley Black & Decker required transparency of real-time overall equipment effectiveness and line productivity to reduce production line change over time.The goal was to to improve production to schedule, reduce actual labor costs and understanding the effects of shift changes and resource shifts from line to line.
Case Study
Asset Management and Predictive Maintenance
The customer prides itself on excellent engineering and customer centric philosophy, allowing its customer’s minds to be at ease and not worry about machine failure. They can easily deliver the excellent maintenance services to their customers, but there are some processes that can be automated to deliver less downtime for the customer and more efficient maintenance schedules.
