实例探究 > BlaBlaCar:利用 Google Cloud 加速增长

BlaBlaCar:利用 Google Cloud 加速增长

技术
  • 分析与建模 - 机器学习
  • 平台即服务 (PaaS) - 应用开发平台
适用行业
  • 水泥
  • 运输
适用功能
  • 物流运输
  • 采购
用例
  • 施工管理
  • 车辆到基础设施 (V2I)
服务
  • 云规划/设计/实施服务
  • 数据科学服务
关于客户
BlaBlaCar 是全球领先的长途拼车平台,在全球 22 个国家拥有 9000 万司机和乘客。他们的目标是提供高效、实惠且友好的旅行方式。
挑战
BlaBlaCar 需要一种新的技术方法,因为其本地基础设施难以支持其快速扩展并满足客户需求。
解决方案
BlaBlaCar 迁移到 Google Cloud,特别是 Google Kubernetes Engine (GKE),以适应未来的基础设施并自动部署和管理容器化应用程序。他们还利用 BigQuery 进行数据分析,并利用 Cloud Bigtable 处理大量数据。
运营影响
  • The migration to Google Cloud has enabled BlaBlaCar to focus on creating new features and improvements instead of managing infrastructure. The use of managed services has helped data scientists focus on matching the right passengers with drivers while Cloud Bigtable monitors database infrastructure. The company has also been able to automate more time-consuming tasks such as database provisioning and storage capacity management. This has allowed BlaBlaCar to leverage machine learning algorithms to help passengers and drivers efficiently find the best carpool at the right price. Furthermore, the company was able to quickly adapt to a fully remote working environment during the coronavirus pandemic and focus on technical migrations from its PHP monolith to a microservice-oriented architecture on Google Cloud.

数量效益
  • 99.9% availability on Google Cloud, providing a reliable form of transport for drivers and passengers

  • Supports analysis of many petabytes of data per day with BigQuery

  • App availability has gone up to 99.7% since the implementation, eliminating highly variable latency issues

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