Find out where the messages and rewards come from, that arrive on your Grab app. Walk through scaling and processing optimizations that achieve tremendous throughput.

你有没有想过，当你叫车回家时，点击确认呼叫按钮会发生什么？这个简单的动作背后，发生了很多事情，如果要把所有的事情都说出来，要花上几天几夜的时间。也许，我们可以把这个问题重新表述得更精确一些。你有没有想过Grab是如何存储和使用司机位置来为你分配司机的？如果有，你一定会发现这篇文章很有趣，因为下面会介绍这背后的工作原理。

Read how we built Grab's single source of truth for fare storage and management. In this post, we explain how we used the Event Sourcing pattern to build our fare data store.

Learn how we maintain our libraries and prevent defect leaks in our Grab Passenger app.

Read this deep dive on our Kubernetes infrastructure setup for Grab's stream processing framework.

Continuous Delivery is the principle of delivering software often, everyday. Read more to find out how we implemented continuous delivery at Grab.

Redis does not guarantee the consistency between master and its replica nodes when Lua scripts are used. Read more to find out why and how to guarantee data consistency.

This blog post discusses how Grab's DataGateway plays a key role in supporting hundreds of users in our entire Presto ecosystem - from managing user access, cluster selection, workload distribution,…

在东南亚，一旦下雨往往就不小。它成为一个重要的情绪因素，尤其是当你被困在外面的时候，你就会面临糟糕的一天。在

胡泊：Grab/地图团队资深架构师。 入行10年，前端、后端、大数据均有涉猎。现就职于Grab，从零开始搭建了Grab路径规划服务，经过三年努力，在多项指标上击败国际地图服务商和东南亚本地地图服务商，成为Grab业务的主要支撑力之一。

服务部分可用并不是没有风险。工程师需要对于RPC调用非核心服务时需要有有备用计划。如果应急策略没有很好地执行，非核心服务的问题也可能导致停机。