提供灵活的解决方案以适应基于服务的架构并随着业务的快速增长而扩展
公司规模
Large Corporate
国家
- United States
产品
- Datadog
- PagerDuty
- Amazon Web Services
- Relational Database Service (RDS)
技术栈
- Amazon Web Services
- Relational Database Service (RDS)
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Customer Satisfaction
技术
- 基础设施即服务 (IaaS) - 云计算
- 基础设施即服务 (IaaS) - 云数据库
适用功能
- 商业运营
用例
- 基础设施检查
- 远程协作
服务
- 云规划/设计/实施服务
- 系统集成
关于客户
Airbnb 是一家领先的社区驱动型酒店公司，人们可以在这里列出、发现和预订世界各地独特的住宿。该公司为旅行者提供了一个平台，让他们可以在 190 个国家/地区的 34,000 多个城市预订住宿。Airbnb 为人们提供独特的旅行体验，无论他们是想住一晚的公寓、住一周的城堡还是住一个月的别墅。该公司以其引人入胜的网站和世界一流的客户服务而闻名，让人们可以最轻松地将闲置空间货币化并向数百万观众展示。
挑战
Airbnb 是一家领先的社区驱动型酒店公司，它面临着保持服务可靠性的挑战，同时又要快速适应新的业务机会。他们为网站的一些组件开发了基于服务的架构，而其他组件则继续作为其主要应用程序的一部分。他们成立了单独的工程团队来支持单独的组件和功能。随着时间的推移，他们添加了许多不同的监控系统，一些系统向中央仪表板应用程序报告，另一些系统则更加独立。这种方法变得难以扩展，因此他们开始寻找更全面、更全面的运营绩效解决方案。
解决方案
随着客户群和基础设施的扩大，Airbnb 决定对其系统进行标准化。他们选择实施 Datadog 和 PagerDuty，因为这些工具提供了全面的监控、可靠的警报和随叫随到的管理，还可以进行定制以提高其易用性和有效性。发布的 API 使工程师可以轻松编写自己的插件并将其集成到组合系统中。Airbnb 能够从 15 个不同的系统中收集指标并将其关联到 Datadog 仪表板中，然后从 PagerDuty 中的任何系统汇总事件并在正确的时间通知正确的人员。这有助于他们减少采取行动并最终解决关键问题所需的时间。
运营影响
数量效益
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