Google Cloud Platform > 实例探究 > 盒装:扩展基础设施和数据处理以满足不断增长的需求

盒装:扩展基础设施和数据处理以满足不断增长的需求

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技术
  • 基础设施即服务 (IaaS) - 云计算
  • 平台即服务 (PaaS) - 应用开发平台
适用行业
  • 消费品
  • 零售
适用功能
  • 维护
  • 采购
用例
  • 远程协作
  • 交通监控
服务
  • 云规划/设计/实施服务
关于客户
Boxed 是一家批发产品的数字提供商,提供各种杂货、家庭必需品和健康用品。他们的目标是让消费者的批量购物变得简单、方便、方便。
挑战
数字批发商 Boxed 在 COVID-19 大流行期间其平台上的流量和需求显着增加。该公司需要扩大其基础设施和数据处理规模,以应对大量订单的涌入。
解决方案
Boxed 转向 Google Cloud 和合作伙伴 MongoDB 来增强其系统的可扩展性和弹性。他们将计算环境迁移到 Google Kubernetes Engine (GKE),以实现更简单的维护和可扩展性。他们还改用全球云数据库服务 MongoDB Atlas 来处理与其应用程序和流程相关的 TB 级数据。
运营影响
  • The adoption of Google Cloud and MongoDB Atlas has brought significant operational benefits to Boxed. The company has been able to scale to handle sudden traffic increases of 30x without disruption. This has allowed Boxed to serve new customers and gain insights into the traffic that its team needed to manage inventory in real time. The enhanced access management provided by MongoDB Atlas has enabled developers to access the database in a secure and seamless way without having to burden other teams with requests to provide new insights. Furthermore, the use of Google Meet has facilitated remote collaboration, enabling the leadership to stay in step with engineers, developers, and others across the business. This has been particularly beneficial during the COVID-19 pandemic, when the company saw its number of Google Meet instances increase by 4x.

数量效益
  • Reduced compute expenses by 30 percent amid 2x growth in use

  • Accelerated deployment pipeline times by 25 percent

  • Handled sudden traffic increases of 30x without disruption

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