公司:Grab
Grab(前身为MyTeksi)是一间在东南亚地区提供服务的技术公司和交通网络公司,总部位于新加坡,由陈炳耀和陈慧玲于2012年在马来西亚雪兰莪州八打灵再也创立的移动应用程序。该应用连结乘客和司机,提供载客车辆租赁及即时共乘的分享型经济服务。乘客可以透过发送短信或是使用移动应用程序来预约这些载客的车辆,利用移动应用程序时还可以追踪车辆的位置。疫情期间兼开始经营外卖、送货、电子商务等等,成为全方面的生活平台。
Search architecture revamp
Prior to 2021, Grab’s search architecture was designed to only support textual matching, which takes in a user query and looks for exact matches within the ecosystem through an inverted index. This legacy system meant that only textual matching results could be fetched.
In the second half of 2021, the Deliveries search team worked on improving this architecture to make it smarter, more scalable and also unlock future growth for different search use cases at Grab.
Embracing a Docs-as-Code approach
Read to find out how Grab is using the Docs-as-Code approach to improve technical documentation.
How we reduced our CI YAML files from 1800 lines to 50 lines
This article illustrates how the Cauldron Machine Learning (ML) Platform team uses GitLab parent-child pipelines to dynamically generate GitLab CI files to solve several limitations of GitLab for large repositories.
How Kafka Connect helps move data seamlessly
Grab’s real-time data platform team (Coban) covers the importance of moving data in and out of Kafka easily and how Kafka Connect helps with that.
Supporting large campaigns at scale
Running batch jobs targeting a large user base is a challenge. Find out how we designed our system to tackle the challenge at scale.
How telematics helps Grab to improve safety
Telematics is a collection of sensor data such as accelerometer data, gyroscope data, and GPS data that a driver’s mobile phone provides, and we collect, during the ride. With this information, we apply data science logic to detect traffic events such as harsh braking, acceleration, cornering, and unsafe lane changes, in order to help improve our consumers’ ride experience.
Real-time data ingestion in Grab
Typically, modern applications use various database engines for their service needs; within Grab, these would be MySQL, Aurora and DynamoDB. Lately, the Caspian team has observed an increasing need to consume real-time data for many service teams. These real-time changes in database records help to support online and offline business decisions for hundreds of teams.
Because of that, we have invested time into synchronising data from MySQL, Aurora and Dynamodb to the message queue, i.e. Kafka. In this blog, we share how real-time data ingestion has helped since it was launched.
Abacus - Issuing points for multiple sources
Learn about the challenges of points rewarding and how GrabRewards Points are rewarded for different Grab offerings.
Exposing a Kafka Cluster via a VPC Endpoint Service
In large organisations, it is a common practice to isolate the cloud resources of different verticals. Amazon Web Services (AWS) Virtual Private Cloud (VPC) is a convenient way of doing so. At Grab, while our core AWS services reside in a main VPC, a number of Grab Tech Families (TFs) have their own dedicated VPC. One such example is GrabKios. Previously known as “Kudo”, GrabKios was acquired by Grab in 2017 and has always been residing in its own AWS account and dedicated VPC.
In this article, we explore how we exposed an Apache Kafka cluster across multiple Availability Zones (AZs) in Grab’s main VPC, to producers and consumers residing in the GrabKios VPC, via a VPC Endpoint Service. This design is part of Coban unified stream processing platform at Grab.
How Grab built a scalable, high-performance ad server
GrabAds is a service that provides businesses with an opportunity to market their products to Grab’s consumer base. During the pandemic, as the demand for food delivery grew, we realised that ads could be a service we offer to our small restaurant merchant-partners to expand their reach. This would allow them to not only mitigate the loss of in-person traffic but also grow by attracting more customers.
Many of these small merchant-partners had no experience with digital advertising and we provided an easy-to-use, scalable option that could match their business size. On the other side of the equation, our large network of merchant-partners provided consumers with more choices. For hungry consumers stuck at home, personalised ads and promotions helped them satisfy their cravings, thus fulfilling their intent of opening the Grab app in the first place!
Biometric authentication - Why do we need it?
In recent years, Identity and Access Management has gained importance within technology industries as attackers continue to target large corporations in order to gain access to private data and services. To address this issue, the Grab Identity team has been using a 6-digit PIN to authenticate a user during a sensitive transaction such as accessing a GrabPay Wallet. We also use SMS one-time passwords (OTPs) to log a user into the application.
We look at existing mechanisms that Grab uses to authenticate its users and how biometric authentication helps strengthen application security and save costs. We also look at the various technical decisions taken to ensure the robustness of this feature as well as some key learnings.
Designing products and services based on Jobs to be Done
In 2016, Clayton Christensen, a Harvard Business School professor, wrote a book called Competing Against Luck. In his book, he talked about the kind of jobs that exist in our everyday life and how we can uncover hidden jobs through the act of non-consumption. Non-consumption is the inability for a consumer to fulfil an important Job to be Done (JTBD).
JTBD is a framework; it is a different way of looking at consumer goals and is based on the notion that people buy products and services to get a job done. In this article, we will walk through what the JTBD framework is, look at an example of a popular JTBD, and look at how we use the JTBD framework in one of Grab’s services.
Search indexing optimisation
Learn about the different optimisation techniques when building a search index.
Automating Multi-Armed Bandit testing during feature rollout
Find out how you can run an automated test and simultaneously roll out a new feature.
How We Cut GrabFood.com’s Page JavaScript Asset Sizes by 3x
Find out how the GrabFood team cut their bundle size by 3 times with these 7 webpack bundle optimisation strategies.
Protecting Personal Data in Grab's Imagery
Learn how Grab improves privacy protection to cater to various geographical locations.