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Lenses > 实例探究 > 打破庞然大物:文章如何使用 Apache Kafka 赢得市场份额
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Digital Retail Leader Article's Rapid Monolith Breakup with Apache Kafka

技术
  • 分析与建模 - 实时分析
  • 应用基础设施与中间件 - 事件驱动型应用
适用行业
  • 消费品
  • 零售
适用功能
  • 采购
  • 仓库和库存管理
用例
  • 最后一英里交付
  • 时间敏感网络
服务
  • 培训
挑战
在大流行期间,Article 经历了需求急剧上升,需要打破其庞大的体系以保护客户体验并赢得市场份额。
关于客户
Article 是一家数字零售领导者,致力于为人们打造最简单的空间装饰方式。他们协调从客户订单到最后一英里交付的整个供应链。
解决方案
Article 使用 Apache Kafka 作为事件驱动架构的一部分来优化订单处理、跟踪和履行。他们还实施了 Lenses 来可视化和操作其流数据环境。
运营影响
  • The use of Lenses to operate Apache Kafka allowed Article's engineering team to focus on developing microservices rather than learning and operating complex technologies. This shift in focus led to an increase in the velocity and quality of event-driven applications. The team was able to optimize truck routing, fulfillment sources, and purchase orders confidently. The time saved on searching for streaming data was redirected towards building better applications for ecommerce. As a result, Article was not only able to react in real-time to the demand surge during the global crisis but also maintain a market-leading customer experience for the future.
数量效益
  • 220k new customers across North America
  • 70% YoY revenue growth
  • Monolith breakup completed in weeks instead of years

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