From 23fcfcc0bc72ee8216c71a7a2a47fe7cc3bec36f Mon Sep 17 00:00:00 2001 From: Travis CI Date: Tue, 1 Oct 2024 08:32:40 +0000 Subject: [PATCH] new version Tue Oct 1 08:32:40 UTC 2024 --- authors.html | 55 ++ blog/10/index.html | 372 ++++----- blog/11/index.html | 333 +++++--- blog/12/index.html | 216 +++-- blog/13/index.html | 305 ++++--- blog/14/index.html | 336 ++++---- blog/15/index.html | 325 ++++---- blog/16/index.html | 278 ++++--- blog/17/index.html | 295 +++---- blog/18/index.html | 288 ++++--- blog/19/index.html | 293 ++++--- blog/2/index.html | 355 ++++---- blog/20/index.html | 163 ++-- blog/21/index.html | 238 +++--- blog/22/index.html | 168 ++-- blog/23/index.html | 113 +++ blog/3/index.html | 304 +++---- blog/4/index.html | 311 ++++--- blog/5/index.html | 305 +++---- blog/6/index.html | 332 ++++---- blog/7/index.html | 328 +++++--- blog/8/index.html | 342 +++----- blog/9/index.html | 335 ++++---- categories/data-science/index.html | 128 +++ categories/engineering/index.html | 262 ++++++ catwalk-evolution.html | 575 +++++++++++++ feed.json | 108 ++- feed.xml | 780 +++++++++--------- hubble-data-discovery.html | 533 ++++++++++++ img/authors/bjorn-jee.jpg | Bin 0 -> 62255 bytes img/authors/daniel-tai.jpg | Bin 0 -> 75142 bytes img/authors/siddhart-pandey.jpg | Bin 0 -> 147466 bytes img/catwalk-evolution/cover.png | Bin 0 -> 667251 bytes img/catwalk-evolution/phase1.png | Bin 0 -> 164217 bytes .../phase2-api-request-flow.png | Bin 0 -> 34408 bytes img/catwalk-evolution/phase2.png | Bin 0 -> 262285 bytes img/catwalk-evolution/phase3.png | Bin 0 -> 217822 bytes img/catwalk-evolution/phase4.png | Bin 0 -> 75627 bytes index.html | 473 ++++++----- search.html | 20 + tags.html | 309 ++++--- 41 files changed, 5757 insertions(+), 3821 deletions(-) create mode 100644 catwalk-evolution.html create mode 100644 hubble-data-discovery.html create mode 100644 img/authors/bjorn-jee.jpg create mode 100644 img/authors/daniel-tai.jpg create mode 100644 img/authors/siddhart-pandey.jpg create mode 100644 img/catwalk-evolution/cover.png create mode 100644 img/catwalk-evolution/phase1.png create mode 100644 img/catwalk-evolution/phase2-api-request-flow.png create mode 100644 img/catwalk-evolution/phase2.png create mode 100644 img/catwalk-evolution/phase3.png create mode 100644 img/catwalk-evolution/phase4.png diff --git a/authors.html b/authors.html index 5b4471ae..db10ce01 100644 --- a/authors.html +++ b/authors.html @@ -599,6 +599,11 @@

Amanda Ng

@@ -1031,6 +1036,11 @@

Bjorn Jee

@@ -1471,6 +1481,11 @@

Daniel Tai

@@ -1850,6 +1865,11 @@

Feng Cheng

15 Jul 2024 +
  • + Enabling conversational data discovery with LLMs at Grab + 26 Sep 2024 +
    • + @@ -5111,6 +5131,11 @@

    Shreyas Parbat

    @@ -5292,6 +5317,11 @@

    Siddharth Pandey

    @@ -6096,6 +6126,11 @@

    Varun Torka

    @@ -6221,6 +6256,11 @@

    Vinnson Lee

    24 Aug 2020 +
  • + Enabling conversational data discovery with LLMs at Grab + 26 Sep 2024 +
    • + @@ -6292,6 +6332,11 @@

    Vishal Sharma

    5 Jun 2024 +
  • + Evolution of Catwalk: Model serving platform at Grab + 1 Oct 2024 +
    • + @@ -6444,6 +6489,11 @@

    Wen Bo Wei

    19 Apr 2022 +
  • + Evolution of Catwalk: Model serving platform at Grab + 1 Oct 2024 +
    • + @@ -7009,6 +7059,11 @@

    Yucheng Zeng

    diff --git a/blog/10/index.html b/blog/10/index.html index 0e1fa208..ca84de5b 100644 --- a/blog/10/index.html +++ b/blog/10/index.html @@ -148,6 +148,179 @@ +
  • +
    + +
    + + Protecting Personal Data in Grab's Imagery cover photo + +
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    + Protecting Personal Data in Grab's Imagery +

    +
    Learn how Grab improves privacy protection to cater to various geographical locations.
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    + + + + + + Adrian Popovici + + + + + + · + + Zsolt Vadaszi + + + + + + · + + Adrian Margin + + + + + + · + + Hannes Kruppa + + + + 26 Jul 2021 | 15 min read +
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    + + + Data + + Data Science + + Datasets + + Engineering + + Machine Learning + +
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    + + Processing ETL tasks with Ratchet cover photo + +
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    + Processing ETL tasks with Ratchet +

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    Read about what Data and ETL pipelines are and how they are used for processing multiple tasks in the Lending Team at Grab.
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    + + + + + + Amar Prakash + + + + 19 Jul 2021 | 9 min read +
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    - - How Grab Leveraged Performance Marketing Automation to Improve Conversion Rates by 30% cover photo - -
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    - How Grab Leveraged Performance Marketing Automation to Improve Conversion Rates by 30% -

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    Read to find out how Grab's Performance Marketing team leveraged on automation to improve conversion rates.
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    - One Small Step Closer to Containerising Service Binaries -

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    Learn how Grab is investigating and reducing service binary size for Golang projects.
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    - - - - - - Stan Halka - - - - - - · - - Samuel Thomas - - - - 23 Feb 2021 | 7 min read -
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    - - - Back End - - Cloud-Native Transformations - - Containerisation - - Engineering - - Golang - - Kubernetes - -
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  • +
    + +
    + + How Grab Leveraged Performance Marketing Automation to Improve Conversion Rates by 30% cover photo + +
    + +
    +
    +
    + + + Engineering +

    + How Grab Leveraged Performance Marketing Automation to Improve Conversion Rates by 30% +

    +
    Read to find out how Grab's Performance Marketing team leveraged on automation to improve conversion rates.
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    +
    + +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + Sc Ng + + + + + + · + + Herman Khoo + + + + + + · + + Audrey Jee + + + + + + · + + Vaibhav Vij + + + + + + · + + Mohammed Milhad Miah + + + + 22 Mar 2021 | 5 min read +
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    + +
    + + + Automation + + Engineering + + Marketing + +
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  • +
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    + + One Small Step Closer to Containerising Service Binaries cover photo + +
    + +
    +
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    + + + Engineering +

    + One Small Step Closer to Containerising Service Binaries +

    +
    Learn how Grab is investigating and reducing service binary size for Golang projects.
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    + + + + + + Stan Halka + + + + + + · + + Samuel Thomas + + + + 23 Feb 2021 | 7 min read +
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    + + + Back End + + Cloud-Native Transformations + + Containerisation + + Engineering + + Golang + + Kubernetes + +
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    Learn how we planned and started migrating our superapp to Bazel at Grab.
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    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.
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    - - Keeping 170 Libraries Up to Date on a Large Scale Android App cover photo + + How Grab is Blazing Through the Superapp Bazel Migration cover photo
    @@ -164,9 +164,9 @@ Engineering

    - Keeping 170 Libraries Up to Date on a Large Scale Android App + How Grab is Blazing Through the Superapp Bazel Migration

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    Learn how we maintain our libraries and prevent defect leaks in our Grab Passenger app.
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    Learn how we planned and started migrating our superapp to Bazel at Grab.
    @@ -176,7 +176,7 @@

    - +
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    - Lucas Nelaupe + Sergii Grechukha - 30 Oct 2020 | 6 min read + 3 Dec 2020 | 15 min read

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    Android - Engineering + Bazel - Mobile + Build Time + + Gradle + + iOS + + Xcode @@ -216,8 +222,8 @@

    - - Optimally Scaling Kafka Consumer Applications cover photo + + Democratising Fare Storage at Scale Using Event Sourcing cover photo
    @@ -228,9 +234,9 @@

    Engineering

    - Optimally Scaling Kafka Consumer Applications + Democratising Fare Storage at Scale Using Event Sourcing

    -
    Read this deep dive on our Kubernetes infrastructure setup for Grab's stream processing framework.
    +
    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.
    @@ -240,7 +246,7 @@

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    - Shubham Badkur + Sourabh Suman - 13 Oct 2020 | 6 min read + 23 Nov 2020 | 10 min read

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    - Back End - Event Sourcing - Go - - Kubernetes - - Platform + Fare Storage - Stream Processing + Pricing
    @@ -286,8 +286,8 @@

    - - Our Journey to Continuous Delivery at Grab (Part 1) cover photo + + Keeping 170 Libraries Up to Date on a Large Scale Android App cover photo
    @@ -298,9 +298,9 @@

    Engineering

    - Our Journey to Continuous Delivery at Grab (Part 1) + Keeping 170 Libraries Up to Date on a Large Scale Android App

    -
    Continuous Delivery is the principle of delivering software often, everyday. Read more to find out how we implemented continuous delivery at Grab.
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    Learn how we maintain our libraries and prevent defect leaks in our Grab Passenger app.
    @@ -310,7 +310,7 @@

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    @@ -319,11 +319,11 @@

    - Sylvain Bougerel + Lucas Nelaupe - 23 Sep 2020 | 16 min read + 30 Oct 2020 | 6 min read

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    - CI - - Cloud Agnostic - - Continuous Delivery - - Continuous Deployment - - Continuous Integration - - Deployment - - Deployment Process + Android - Multi Cloud + Engineering - Spinnaker + Mobile
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    - - Uncovering the Truth Behind Lua and Redis Data Consistency cover photo + + Optimally Scaling Kafka Consumer Applications cover photo
    @@ -374,9 +362,9 @@

    Engineering

    - Uncovering the Truth Behind Lua and Redis Data Consistency + Optimally Scaling Kafka Consumer Applications

    -
    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.
    +
    Read this deep dive on our Kubernetes infrastructure setup for Grab's stream processing framework.
    @@ -386,7 +374,7 @@

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    - Allen Wang + Shubham Badkur - 7 Sep 2020 | 7 min read + 13 Oct 2020 | 6 min read

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    - Data Consistency + Back End - High CPU Usage + Event Sourcing - Lua Scripts + Go - Redis + Kubernetes + + Platform + + Stream Processing
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    - - Securing and Managing Multi-cloud Presto Clusters with Grab’s DataGateway cover photo + + Our Journey to Continuous Delivery at Grab (Part 1) cover photo
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    Engineering - - · - - Data Science

    - Securing and Managing Multi-cloud Presto Clusters with Grab’s DataGateway + Our Journey to Continuous Delivery at Grab (Part 1)

    -
    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, and many more.
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    Continuous Delivery is the principle of delivering software often, everyday. Read more to find out how we implemented continuous delivery at Grab.
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    - Vinnson Lee + Sylvain Bougerel - 24 Aug 2020 | 10 min read + 23 Sep 2020 | 16 min read

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    - Access Control + CI - Cluster + Cloud Agnostic - Data + Continuous Delivery - Data Pipeline + Continuous Deployment - Engineering + Continuous Integration - Presto + Deployment - Workload Distribution + Deployment Process + + Multi Cloud + + Spinnaker
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    - - Go Modules- A Guide for monorepos (Part 2) cover photo + + Uncovering the Truth Behind Lua and Redis Data Consistency cover photo
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    Engineering

    - Go Modules- A Guide for monorepos (Part 2) + Uncovering the Truth Behind Lua and Redis Data Consistency

    -
    This is the second post on the Go module series, which highlights Grab’s experience working with Go modules in a multi-module monorepo. Here, we discuss the additional solutions for addressing dependency issues, as well as cover automatic upgrades.
    +
    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.
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    - Michael Cartmell + Allen Wang - 12 Aug 2020 | 5 min read + 7 Sep 2020 | 7 min read

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    - Go - - Libraries + Data Consistency - Monorepo + High CPU Usage - Vendoring + Lua Scripts - Vendors + Redis
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    - - The Journey of Deploying Apache Airflow at Grab cover photo + + Securing and Managing Multi-cloud Presto Clusters with Grab’s DataGateway cover photo
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    Data Science

    - The Journey of Deploying Apache Airflow at Grab + Securing and Managing Multi-cloud Presto Clusters with Grab’s DataGateway

    -
    This blog post shares how we designed and implemented an Apache Airflow-based scheduling and orchestration platform for teams across Grab.
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    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, and many more.
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    - Chandulal Kavar + Vinnson Lee - 14 Jul 2020 | 11 min read + 24 Aug 2020 | 10 min read

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    - Airflow + Access Control + + Cluster + + Data Data Pipeline Engineering - Kubernetes - - Platform + Presto - Scheduling + Workload Distribution
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    - - How We Built Our In-house Chat Platform for the Web cover photo + + Go Modules- A Guide for monorepos (Part 2) cover photo
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    Engineering

    - How We Built Our In-house Chat Platform for the Web + Go Modules- A Guide for monorepos (Part 2)

    -
    This blog post shares our learnings from building our very own chat platform for the web.
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    This is the second post on the Go module series, which highlights Grab’s experience working with Go modules in a multi-module monorepo. Here, we discuss the additional solutions for addressing dependency issues, as well as cover automatic upgrades.
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    - Vasudevan K. + Michael Cartmell - 29 Jun 2020 | 13 min read + 12 Aug 2020 | 5 min read

    @@ -692,13 +684,15 @@

    - Chat + Go - Customer Support + Libraries - Engineering + Monorepo - Web + Vendoring + + Vendors
    diff --git a/blog/13/index.html b/blog/13/index.html index 363fa3ad..cf652aa7 100644 --- a/blog/13/index.html +++ b/blog/13/index.html @@ -148,6 +148,146 @@ +
  • +
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    + + The Journey of Deploying Apache Airflow at Grab cover photo + +
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    + + + Engineering + + · + + Data Science +

    + The Journey of Deploying Apache Airflow at Grab +

    +
    This blog post shares how we designed and implemented an Apache Airflow-based scheduling and orchestration platform for teams across Grab.
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    + + + + + + Chandulal Kavar + + + + 14 Jul 2020 | 11 min read +
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    + + How We Built Our In-house Chat Platform for the Web cover photo + +
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    + How We Built Our In-house Chat Platform for the Web +

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    This blog post shares our learnings from building our very own chat platform for the web.
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    - Grab-Posisi - Southeast Asia’s First Comprehensive GPS Trajectory Dataset -

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    This blog highlights Grab's latest GPS trajectory dataset - its content, format, applications, and how you can access the dataset for your research purpose.
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    This blog addresses how engineers overcame the challenges Grab faced during the initial days due to sudden spike in ride demand.
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    + + Grab-Posisi - Southeast Asia’s First Comprehensive GPS Trajectory Dataset cover photo + +
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    + + + Engineering +

    + Grab-Posisi - Southeast Asia’s First Comprehensive GPS Trajectory Dataset +

    +
    This blog highlights Grab's latest GPS trajectory dataset - its content, format, applications, and how you can access the dataset for your research purpose.
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    + + + + + + Zhengmin Xu + + + + + + · + + Poornima Badrinath + + + + + + · + + Xiaocheng Huang + + + + + + · + + Abeesh Thomas + + + + 20 Feb 2020 | 7 min read +
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    + How We Prevented App Performance Degradation from Sudden Ride Demand Spikes +

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    This blog addresses how engineers overcame the challenges Grab faced during the initial days due to sudden spike in ride demand.
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    + + + + + + Corey Scott + + + + 8 Jan 2020 | 5 min read +
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    - Using Grab’s Trust Counter Service to Detect Fraud Successfully -

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    This blog introduces Grab’s Trust Counter service for detecting fraud. It explains how the solution was designed so that different stakeholders like data analysts and data scientists can use the Counter service without any manual intervention from engineers. The Counter service provides a reliable data feed to the data science world.
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    + Using Grab’s Trust Counter Service to Detect Fraud Successfully +

    +
    This blog introduces Grab’s Trust Counter service for detecting fraud. It explains how the solution was designed so that different stakeholders like data analysts and data scientists can use the Counter service without any manual intervention from engineers. The Counter service provides a reliable data feed to the data science world.
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    + Being a Principal Engineer at Grab +

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    Curious about what a Principal Engineer role at Grab entails? Our Principal Engineers' responsibilities range from solving complex problems, taking care of the system-level architecture, collaborating with cross-functional teams, providing mentorship, and more.
    +
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    +
    + + + + + + + +
    + + + + + + Roman Atachiants + + + + 25 Sep 2019 | 7 min read +
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    + + + Career + + Engineering + + Microservice + +
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    • -
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    - - React Native in GrabPay cover photo - -
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    - React Native in GrabPay -

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    This blog post describes how we used React Native to optimize the Grab PAX app.
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    - - - - - - Sushant Tiwari - - - - - - · - - Vinod Prajapati - - - - 30 May 2019 | 7 min read -
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    - Connecting the Invisibles to Design Seamless Experiences -

    -
    Much of the work done by the service design team at Grab revolves around integrating people, processes, and systems to deliver seamless user experiences. In this blog post, we present an overview on how Grab's service design team goes about doing that.
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    - - - - - - Stephanie Lukito - - - - - - · - - Jia Liang Wong - - - - 28 May 2019 | 4 min read -
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  • +
    + +
    + + React Native in GrabPay cover photo + +
    + +
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    +
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    + React Native in GrabPay +

    +
    This blog post describes how we used React Native to optimize the Grab PAX app.
    +
    +
    + +
    +
    + + + + + + + + + + + + +
    + + + + + + Sushant Tiwari + + + + + + · + + Vinod Prajapati + + + + 30 May 2019 | 7 min read +
    +
    +
    +
    + +
    + + + Grab + + GrabPay + + Mobile + + React + +
    + + +
    +
    +
    +
    • + +
  • +
    + +
    + + Connecting the Invisibles to Design Seamless Experiences cover photo + +
    + +
    +
    +
    + + + Design +

    + Connecting the Invisibles to Design Seamless Experiences +

    +
    Much of the work done by the service design team at Grab revolves around integrating people, processes, and systems to deliver seamless user experiences. In this blog post, we present an overview on how Grab's service design team goes about doing that.
    +
    +
    + +
    +
    + + + + + + + + + + + + +
    + + + + + + Stephanie Lukito + + + + + + · + + Jia Liang Wong + + + + 28 May 2019 | 4 min read +
    +
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    +
    + +
    + + + Design + + Service Design + +
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    - - How We Harnessed the Wisdom of Crowds to Improve Restaurant Location Accuracy cover photo - -
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    - How We Harnessed the Wisdom of Crowds to Improve Restaurant Location Accuracy -

    -
    We questioned some of the estimates that our algorithm for calculating restaurant wait times was making, and found that the "errors" were actually useful to discover restaurants whose locations had been incorrectly registered in our system. By combining such error signals across multiple orders, we were able to identify correct restaurant locations and amend them to improve the experience for our consumers.
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    - Designing Resilient Systems Beyond Retries (Part 3): Architecture Patterns and Chaos Engineering -

    -
    This post is the third of a three-part series on going beyond retries and circuit breakers to improve system resiliency. This whole series covers techniques and architectures that can be used as part of a strategy to improve resiliency. In this article, we will focus on architecture patterns and chaos engineering to reduce, prevent, and test resiliency.
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    - - - - - - Michael Cartmell - - - - 27 Mar 2019 | 6 min read -
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  • +
    + +
    + + How We Harnessed the Wisdom of Crowds to Improve Restaurant Location Accuracy cover photo + +
    + +
    +
    +
    + + + Data Science +

    + How We Harnessed the Wisdom of Crowds to Improve Restaurant Location Accuracy +

    +
    We questioned some of the estimates that our algorithm for calculating restaurant wait times was making, and found that the "errors" were actually useful to discover restaurants whose locations had been incorrectly registered in our system. By combining such error signals across multiple orders, we were able to identify correct restaurant locations and amend them to improve the experience for our consumers.
    +
    +
    + +
    +
    + + + + + + + +
    + + + + + + Pravin Kakar + + + + 2 Apr 2019 | 8 min read +
    +
    +
    +
    + +
    + + + Data Science + +
    + + +
    +
    +
    +
    • + +
  • +
    + +
    + + Designing Resilient Systems Beyond Retries (Part 3): Architecture Patterns and Chaos Engineering cover photo + +
    + +
    +
    +
    + + + Engineering +

    + Designing Resilient Systems Beyond Retries (Part 3): Architecture Patterns and Chaos Engineering +

    +
    This post is the third of a three-part series on going beyond retries and circuit breakers to improve system resiliency. This whole series covers techniques and architectures that can be used as part of a strategy to improve resiliency. In this article, we will focus on architecture patterns and chaos engineering to reduce, prevent, and test resiliency.
    +
    +
    + +
    +
    + + + + + + + +
    + + + + + + Michael Cartmell + + + + 27 Mar 2019 | 6 min read +
    +
    +
    +
    + +
    + + + Chaos Engineering + + Microservice + + Resiliency + +
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    - - Understanding Supply & Demand in Ride-hailing Through the Lens of Data cover photo - -
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    - - - Data Science -

    - Understanding Supply & Demand in Ride-hailing Through the Lens of Data -

    -
    Grab aims to ensure that our passengers can get a ride conveniently while providing our drivers better livelihood. To achieve this, balancing demand and supply is crucial. This article gives you a glimpse of one of our analytics initiatives - how to measure the supply and demand ratio at any given area and time.
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    - - - - - - Aayush Garg - - - - - - · - - Lara PuReum Yim - - - - - - · - - ChunKai Phang - - - - 20 Feb 2019 | 7 min read -
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    - - - Analytics - - Data - - Data Analytics - - Data Storytelling - - Data Visualisation - -
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    - - A Lean and Scalable Data Pipeline to Capture Large Scale Events and Support Experimentation Platform cover photo - -
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    - A Lean and Scalable Data Pipeline to Capture Large Scale Events and Support Experimentation Platform -

    -
    This blog post focuses on the lessons we learned while building our batch data pipeline.
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    - - - - - - - - - - - - -
    - - - - - - Oscar Cassetti - - - - - - · - - Roman Atachiants - - - - 16 Jan 2019 | 15 min read -
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    - - - Big Data - - Data Pipeline - - Experiment - -
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    • - diff --git a/blog/18/index.html b/blog/18/index.html index 88beeaae..8396a0e9 100644 --- a/blog/18/index.html +++ b/blog/18/index.html @@ -152,8 +152,8 @@
    - - Designing Resilient Systems: Circuit Breakers or Retries? (Part 2) cover photo + + Understanding Supply & Demand in Ride-hailing Through the Lens of Data cover photo
    @@ -162,11 +162,11 @@
    - Engineering + Data Science

    - Designing Resilient Systems: Circuit Breakers or Retries? (Part 2) + Understanding Supply & Demand in Ride-hailing Through the Lens of Data

    -
    Grab designs fault-tolerant systems that can withstand failures allowing us to continuously provide our consumers with the many services they expect from us.
    +
    Grab aims to ensure that our passengers can get a ride conveniently while providing our drivers better livelihood. To achieve this, balancing demand and supply is crucial. This article gives you a glimpse of one of our analytics initiatives - how to measure the supply and demand ratio at any given area and time.
    @@ -176,7 +176,17 @@

    - + + + + + + + + + + +
    @@ -185,11 +195,27 @@

    - Corey Scott + Aayush Garg + + + + + + · + + Lara PuReum Yim + + + + + + · + + ChunKai Phang - 8 Jan 2019 | 14 min read + 20 Feb 2019 | 7 min read

    @@ -198,9 +224,15 @@

    - Circuit Breakers + Analytics - Resiliency + Data + + Data Analytics + + Data Storytelling + + Data Visualisation
    @@ -214,8 +246,8 @@

    - - Querying Big Data in Real-time with Presto & Grab's TalariaDB cover photo + + A Lean and Scalable Data Pipeline to Capture Large Scale Events and Support Experimentation Platform cover photo
    @@ -226,9 +258,9 @@

    Engineering

    - Querying Big Data in Real-time with Presto & Grab's TalariaDB + A Lean and Scalable Data Pipeline to Capture Large Scale Events and Support Experimentation Platform

    -
    In this article, we focus on TalariaDB, a distributed, highly available, and low latency time-series database that stores real-time data. For example, logs, metrics, and click streams generated by mobile apps and backend services that use Grab's Experimentation Platform SDK. It "stalks" the real-time data feed and only keeps the last one hour of data.
    +
    This blog post focuses on the lessons we learned while building our batch data pipeline.
    @@ -238,12 +270,12 @@

    - + - +
    @@ -252,7 +284,7 @@

    - Roman Atachiants + Oscar Cassetti @@ -260,11 +292,11 @@

    · - Oscar Cassetti + Roman Atachiants - 2 Jan 2019 | 10 min read + 16 Jan 2019 | 15 min read

    @@ -275,13 +307,9 @@

    Big Data - Database - - Presto - - Real-Time + Data Pipeline - TalariaDB + Experiment @@ -295,8 +323,8 @@

    - - Designing Resilient Systems: Circuit Breakers or Retries? (Part 1) cover photo + + Designing Resilient Systems: Circuit Breakers or Retries? (Part 2) cover photo
    @@ -307,7 +335,7 @@

    Engineering

    - Designing Resilient Systems: Circuit Breakers or Retries? (Part 1) + Designing Resilient Systems: Circuit Breakers or Retries? (Part 2)

    Grab designs fault-tolerant systems that can withstand failures allowing us to continuously provide our consumers with the many services they expect from us.
    @@ -332,7 +360,7 @@

    - 21 Dec 2018 | 17 min read + 8 Jan 2019 | 14 min read @@ -357,8 +385,8 @@

    - - Orchestrating Chaos Using Grab's Experimentation Platform cover photo + + Querying Big Data in Real-time with Presto & Grab's TalariaDB cover photo
    @@ -369,9 +397,9 @@

    Engineering

    - Orchestrating Chaos Using Grab's Experimentation Platform + Querying Big Data in Real-time with Presto & Grab's TalariaDB

    -
    At Grab, we practice chaos engineering by intentionally introducing failures in a service or component in the overall business flow. But the failed’ service is not the experiment’s focus. We’re interested in testing the services dependent on that failed service.
    +
    In this article, we focus on TalariaDB, a distributed, highly available, and low latency time-series database that stores real-time data. For example, logs, metrics, and click streams generated by mobile apps and backend services that use Grab's Experimentation Platform SDK. It "stalks" the real-time data feed and only keeps the last one hour of data.
    @@ -386,12 +414,7 @@

    - - - - - - +
    @@ -408,19 +431,11 @@

    · - Tharaka Wijebandara - - - - - - · - - Abeesh Thomas + Oscar Cassetti - 23 Nov 2018 | 7 min read + 2 Jan 2019 | 10 min read

    @@ -429,11 +444,15 @@

    - Chaos Engineering + Big Data - Microservice + Database - Resiliency + Presto + + Real-Time + + TalariaDB
    @@ -447,8 +466,8 @@

    - - Reliable and Scalable Feature Toggles and A/B Testing SDK at Grab cover photo + + Designing Resilient Systems: Circuit Breakers or Retries? (Part 1) cover photo
    @@ -459,9 +478,9 @@

    Engineering

    - Reliable and Scalable Feature Toggles and A/B Testing SDK at Grab + Designing Resilient Systems: Circuit Breakers or Retries? (Part 1)

    -
    Grab’s feature toggle SDK provides a dynamic feature toggle capability to our engineering, data, product, and even business teams. Feature toggles also let teams modify system behaviour without changing code. Developers use the feature flags to keep new features hidden until product and marketing teams are ready to share and to run experiments (A/B tests) by dynamically changing feature toggles for specific users, rides, etc.
    +
    Grab designs fault-tolerant systems that can withstand failures allowing us to continuously provide our consumers with the many services they expect from us.
    @@ -471,7 +490,7 @@

    - +
    @@ -480,11 +499,11 @@

    - Roman Atachiants + Corey Scott - 2 Nov 2018 | 12 min read + 21 Dec 2018 | 17 min read

    @@ -493,15 +512,9 @@

    - A/B Testing - - Back End - - Experiment - - Feature Toggle + Circuit Breakers - Front End + Resiliency
    @@ -515,8 +528,8 @@

    - - Mockers - Overcoming Testing Challenges at Grab cover photo + + Orchestrating Chaos Using Grab's Experimentation Platform cover photo
    @@ -527,9 +540,9 @@

    Engineering

    - Mockers - Overcoming Testing Challenges at Grab + Orchestrating Chaos Using Grab's Experimentation Platform

    -
    Sustaining quality in fast paced development is a challenge. At Grab, we use Mockers - a tool to expand the scope of local box testing. It helps us overcome testing challenges in a microservice architecture.
    +
    At Grab, we practice chaos engineering by intentionally introducing failures in a service or component in the overall business flow. But the failed’ service is not the experiment’s focus. We’re interested in testing the services dependent on that failed service.
    @@ -539,27 +552,17 @@

    - - - - - - - - - - - + - + - +
    @@ -568,23 +571,7 @@

    - Mayank Gupta - - - - - - · - - Vineet Nair - - - - - - · - - Shivkumar Krishnan + Roman Atachiants @@ -592,7 +579,7 @@

    · - Thuy Nguyen + Tharaka Wijebandara @@ -600,11 +587,11 @@

    · - Vishal Prakash + Abeesh Thomas - 18 Sep 2018 | 9 min read + 23 Nov 2018 | 7 min read

    @@ -613,11 +600,11 @@

    - Back End + Chaos Engineering - Service + Microservice - Testing + Resiliency
    @@ -631,8 +618,8 @@

    - - Journey of a Tourist via Grab cover photo + + Reliable and Scalable Feature Toggles and A/B Testing SDK at Grab cover photo
    @@ -641,11 +628,11 @@

    - Data Science + Engineering

    - Journey of a Tourist via Grab + Reliable and Scalable Feature Toggles and A/B Testing SDK at Grab

    -
    Grab's services to tourists are an integral part of connecting tourists to various destinations and attractions. Do tourists travel on Grab to outlandishly fancy places like those you see in the movie "Crazy Rich Asians"? What are their favourite local places? Did you know that Grab's data reveals that medical tourism is growing in Singapore? Here are some exciting travel patterns that we found about our tourists' Grab rides in Singapore!
    +
    Grab’s feature toggle SDK provides a dynamic feature toggle capability to our engineering, data, product, and even business teams. Feature toggles also let teams modify system behaviour without changing code. Developers use the feature flags to keep new features hidden until product and marketing teams are ready to share and to run experiments (A/B tests) by dynamically changing feature toggles for specific users, rides, etc.

    @@ -655,7 +642,7 @@

    - +
    @@ -664,11 +651,11 @@

    - Lara PuReum Yim + Roman Atachiants - 11 Sep 2018 | 6 min read + 2 Nov 2018 | 12 min read

    @@ -677,15 +664,15 @@

    - Analytics + A/B Testing - Data + Back End - Data Analytics + Experiment - Tourism + Feature Toggle - Tourists + Front End
    @@ -699,8 +686,8 @@

    - - How We Designed the Quotas Microservice to Prevent Resource Abuse cover photo + + Mockers - Overcoming Testing Challenges at Grab cover photo
    @@ -711,9 +698,9 @@

    Engineering

    - How We Designed the Quotas Microservice to Prevent Resource Abuse + Mockers - Overcoming Testing Challenges at Grab

    -
    Reliable, scalable, and high performing solutions for common system level issues are essential for microservice success, and there is a Grab-wide initiative to provide those common solutions. As an important component of the initiative, we wrote a microservice called Quotas, a highly scalable API request rate limiting solution to mitigate the problems of service abuse and cascading service failures.
    +
    Sustaining quality in fast paced development is a challenge. At Grab, we use Mockers - a tool to expand the scope of local box testing. It helps us overcome testing challenges in a microservice architecture.
    @@ -723,12 +710,27 @@

    - + + + + + + + + + + + - + + + + + +
    @@ -737,7 +739,15 @@

    - Jim Zhan + Mayank Gupta + + + + + + · + + Vineet Nair @@ -745,11 +755,27 @@

    · - Gao Chao + Shivkumar Krishnan + + + + + + · + + Thuy Nguyen + + + + + + · + + Vishal Prakash - 10 Aug 2018 | 11 min read + 18 Sep 2018 | 9 min read

    @@ -760,10 +786,10 @@

    Back End - Quota - Service + Testing + diff --git a/blog/19/index.html b/blog/19/index.html index b12258f9..3eb58a0b 100644 --- a/blog/19/index.html +++ b/blog/19/index.html @@ -148,6 +148,151 @@ +
  • +
    + +
    + + Journey of a Tourist via Grab cover photo + +
    + +
    +
    +
    + + + Data Science +

    + Journey of a Tourist via Grab +

    +
    Grab's services to tourists are an integral part of connecting tourists to various destinations and attractions. Do tourists travel on Grab to outlandishly fancy places like those you see in the movie "Crazy Rich Asians"? What are their favourite local places? Did you know that Grab's data reveals that medical tourism is growing in Singapore? Here are some exciting travel patterns that we found about our tourists' Grab rides in Singapore!
    +
    +
    + +
    +
    + + + + + + + +
    + + + + + + Lara PuReum Yim + + + + 11 Sep 2018 | 6 min read +
    +
    +
    +
    + +
    + + + Analytics + + Data + + Data Analytics + + Tourism + + Tourists + +
    + + +
    +
    +
    +
    • + +
  • +
    + +
    + + How We Designed the Quotas Microservice to Prevent Resource Abuse cover photo + +
    + +
    +
    +
    + + + Engineering +

    + How We Designed the Quotas Microservice to Prevent Resource Abuse +

    +
    Reliable, scalable, and high performing solutions for common system level issues are essential for microservice success, and there is a Grab-wide initiative to provide those common solutions. As an important component of the initiative, we wrote a microservice called Quotas, a highly scalable API request rate limiting solution to mitigate the problems of service abuse and cascading service failures.
    +
    +
    + +
    +
    + + + + + + + + + + + + +
    + + + + + + Jim Zhan + + + + + + · + + Gao Chao + + + + 10 Aug 2018 | 11 min read +
    +
    +
    +
    + +
    + + + Back End + + Quota + + Service + +
    + + +
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    - - GrabShare at the Intelligent Transportation Engineering Conference cover photo - -
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    - - - Data Science -

    - GrabShare at the Intelligent Transportation Engineering Conference -

    -
    We're excited to share the publication of our paper GrabShare: The Construction of a Realtime Ridesharing Service, which was Grab's contribution to the Intelligent Transportation Engineering Conference in Singapore last month.
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    - - - - - - - -
    - - - - - - Dominic Widdows - - - - 13 Dec 2017 | 3 min read -
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    - Grabbing Growth: A Growth Hacking Story -

    -
    Disrupt or be disrupted - that was exactly the spirit in which the Growth Hacking team was created this year. This was a deliberate decision to nurture our scrappy DNA, and ensure that we had a dedicated space to experiment and enable intelligent risk-taking.
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    - - - - - - - - - - - - - - - - - -
    - - - - - - Gaurav Sachdeva - - - - - - · - - Huan Yang - - - - - - · - - Jiaying Lim - - - - 8 Dec 2017 | 5 min read -
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    • - diff --git a/blog/2/index.html b/blog/2/index.html index 712fdf80..f135a22f 100644 --- a/blog/2/index.html +++ b/blog/2/index.html @@ -148,6 +148,203 @@ +
  • +
    + +
    + + How we evaluated the business impact of marketing campaigns cover photo + +
    + +
    +
    +
    + + + Engineering +

    + How we evaluated the business impact of marketing campaigns +

    +
    Discover how Grab assesses marketing effectiveness using advanced attribution models and strategic testing to improve campaign precision and impact.
    +
    +
    + +
    +
    + + + + + + + + + + + + +
    + + + + + + Jie Zhang + + + + + + · + + Zen Nguyen + + + + 23 May 2024 | 6 min read +
    +
    +
    +
    + +
    + + + A/B Testing + + Marketing + + Metrics + + Optimisation + + Statistic + +
    + + +
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    • + +
  • +
    + +
    + + No version left behind: Our epic journey of GitLab upgrades cover photo + +
    + +
    +
    +
    + + + Engineering +

    + No version left behind: Our epic journey of GitLab upgrades +

    +
    Join us as we share our experience in developing and implementing a consistent upgrade routine. This process underscored the significance of adaptability, comprehensive preparation, efficient communication, and ongoing learning.
    +
    +
    + +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + Saurabh Vajpayee + + + + + + · + + Ramkumar Manickam + + + + + + · + + Nagendra Gangwar + + + + + + · + + Dan Low + + + + + + · + + Akshay Misra + + + + 3 May 2024 | 11 min read +
    +
    +
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    + +
    + + + automation + + optimisation + + stability + +
    + + +
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    - - Managing dynamic marketplace content at scale: Grab's approach to content moderation cover photo - -
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    - Managing dynamic marketplace content at scale: Grab's approach to content moderation -

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    Understand how Grab employs a combination of automated and manual content moderation to manage its dynamic marketplace content efficiently, while also collaborating with Google to ensure marketplace safety.
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    - - - - - - - -
    - - - - - - Poonam Gambhire - - - - 1 Feb 2024 | 3 min read -
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    - - - Content moderation - - Dynamic marketplace - - Scaling - -
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    - - - Engineering -

    - Rethinking Stream Processing: Data Exploration -

    -
    As Grab matures along the digitalisation journey, it is collecting and streaming event data generated from the end users of its superapp on a larger magnitude than before. Coban, Grab’s data-streaming platform team, is looking to help unlock the value of streaming data at an earlier stage of the data journey before this data is typically stored in a central location (“Data Lake”). This allows Grab to serve its superapp users more efficiently.
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    - - - - - - - - - - - - - - - - - -
    - - - - - - Shi Kai Ng - - - - - - · - - Calvin Tran - - - - - - · - - Minh Nhat Nguyen - - - - 31 Jan 2024 | 12 min read -
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    - - - Data Streaming - - Deployments - - Kafka - - Kubernetes - - Streaming applications - -
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    • - diff --git a/blog/20/index.html b/blog/20/index.html index 361dcae3..54c6a16c 100644 --- a/blog/20/index.html +++ b/blog/20/index.html @@ -152,8 +152,8 @@
    - - The Data and Science Behind GrabShare Part I: Verifying Potential and Developing the Algorithm cover photo + + GrabShare at the Intelligent Transportation Engineering Conference cover photo
    @@ -164,9 +164,9 @@ Data Science

    - The Data and Science Behind GrabShare Part I: Verifying Potential and Developing the Algorithm + GrabShare at the Intelligent Transportation Engineering Conference

    -
    Launching GrabShare was no easy feat. After reviewing the academic literature, we decided to take a different approach and build a new matching algorithm from the ground up.
    +
    We're excited to share the publication of our paper GrabShare: The Construction of a Realtime Ridesharing Service, which was Grab's contribution to the Intelligent Transportation Engineering Conference in Singapore last month.
    @@ -176,7 +176,7 @@

    - +
    @@ -185,11 +185,11 @@

    - Tang Muchen + Dominic Widdows - 20 Oct 2017 | 10 min read + 13 Dec 2017 | 3 min read

    @@ -214,8 +214,8 @@

    - - The Art of Hiring Good Engineers cover photo + + Grabbing Growth: A Growth Hacking Story cover photo
    @@ -224,11 +224,11 @@

    - Engineering + Product

    - The Art of Hiring Good Engineers + Grabbing Growth: A Growth Hacking Story

    -
    Hiring the first five good engineers in your team requires a different approach to hiring the first twenty good engineers. The approach to designing this process will be even more different, when you want to hire to scale up to a 100 Engineers... or even to 300.
    +
    Disrupt or be disrupted - that was exactly the spirit in which the Growth Hacking team was created this year. This was a deliberate decision to nurture our scrappy DNA, and ensure that we had a dedicated space to experiment and enable intelligent risk-taking.

    @@ -238,7 +238,17 @@

    - + + + + + + + + + + +
    @@ -247,11 +257,27 @@

    - Rachel Lee + Gaurav Sachdeva + + + + + + · + + Huan Yang + + + + + + · + + Jiaying Lim - 4 Oct 2017 | 8 min read + 8 Dec 2017 | 5 min read

    @@ -260,7 +286,7 @@

    - Hiring + Growth Hacking
    @@ -274,8 +300,8 @@

    - - Migrating Existing Datastores cover photo + + The Data and Science Behind GrabShare Part I: Verifying Potential and Developing the Algorithm cover photo
    @@ -284,11 +310,11 @@

    - Engineering + Data Science

    - Migrating Existing Datastores + The Data and Science Behind GrabShare Part I: Verifying Potential and Developing the Algorithm

    -
    At Grab we take pride in creating solutions that impact millions of people in Southeast Asia and as they say, with great power comes great responsibility. As an app with 55 million downloads and 1.2 million drivers, it's our responsibility to keep our systems up-and-running. Any downtime causes drivers to miss earning and passengers to miss their appointments.
    +
    Launching GrabShare was no easy feat. After reviewing the academic literature, we decided to take a different approach and build a new matching algorithm from the ground up.

    @@ -298,7 +324,7 @@

    - +
    @@ -307,11 +333,11 @@

    - Nishant Gupta + Tang Muchen - 8 Aug 2017 | 7 min read + 20 Oct 2017 | 10 min read

    @@ -320,9 +346,9 @@

    - Back End + Data Science - Redis + GrabShare
    @@ -336,8 +362,8 @@

    - - So You Need to Hire Good Engineers cover photo + + The Art of Hiring Good Engineers cover photo
    @@ -348,9 +374,9 @@

    Engineering

    - So You Need to Hire Good Engineers + The Art of Hiring Good Engineers

    -
    If you are in a fast growing tech startup, you're probably actively interviewing and hiring engineers to scale teams. My question to you is, what hiring strategy are you using when interviewing engineering warriors?
    +
    Hiring the first five good engineers in your team requires a different approach to hiring the first twenty good engineers. The approach to designing this process will be even more different, when you want to hire to scale up to a 100 Engineers... or even to 300.
    @@ -373,7 +399,7 @@

    - 24 Jul 2017 | 6 min read + 4 Oct 2017 | 8 min read @@ -396,8 +422,8 @@

    - - Come and #hackallthethings at Grab cover photo + + Migrating Existing Datastores cover photo
    @@ -408,9 +434,9 @@

    Engineering

    - Come and #hackallthethings at Grab + Migrating Existing Datastores

    -
    For the longest time, security has been at the center of our priorities. There’s nothing more self-evident about the trust our millions of driving partners and consumers put in Grab. We strive every day to build the best tools available to ensure their data stays secure.
    +
    At Grab we take pride in creating solutions that impact millions of people in Southeast Asia and as they say, with great power comes great responsibility. As an app with 55 million downloads and 1.2 million drivers, it's our responsibility to keep our systems up-and-running. Any downtime causes drivers to miss earning and passengers to miss their appointments.
    @@ -420,7 +446,7 @@

    - +
    @@ -429,11 +455,11 @@

    - Grab Engineering + Nishant Gupta - 11 Jul 2017 | 2 min read + 8 Aug 2017 | 7 min read

    @@ -442,7 +468,9 @@

    - Security + Back End + + Redis
    @@ -455,16 +483,22 @@

  • -
    +
    + + So You Need to Hire Good Engineers cover photo + +
    + +
    Engineering

    - How We Scaled Our Cache and Got a Good Night's Sleep + So You Need to Hire Good Engineers

    -
    Caching is arguably the most important and widely used technique in computer industry, from CPU to Facebook live videos, cache is everywhere.
    +
    If you are in a fast growing tech startup, you're probably actively interviewing and hiring engineers to scale teams. My question to you is, what hiring strategy are you using when interviewing engineering warriors?
    @@ -474,7 +508,7 @@

    - +
    @@ -483,11 +517,11 @@

    - Gao Chao + Rachel Lee - 19 Jun 2017 | 5 min read + 24 Jul 2017 | 6 min read

    @@ -496,9 +530,7 @@

    - Back End - - Redis + Hiring
    @@ -512,8 +544,8 @@

    - - Grab's Front End Study Guide cover photo + + Come and #hackallthethings at Grab cover photo
    @@ -524,10 +556,9 @@

    Engineering

    - Grab's Front End Study Guide + Come and #hackallthethings at Grab

    -
    Grab is Southeast Asia (SEA)’s leading transportation platform and our mission is to drive SEA forward, leveraging on the latest technology and the talented people we have in the company. As of May 2017, we handle 2.3 million rides daily and we are growing and hiring at a rapid scale. -To keep up with Grab’s phenomenal growth, our web team and web platforms have to grow as well. Fortunately, or unfortunately, at Grab, the web team has been keeping up with the latest best practices and has incorporated the modern JavaScript ecosystem in our web apps.
    +
    For the longest time, security has been at the center of our priorities. There’s nothing more self-evident about the trust our millions of driving partners and consumers put in Grab. We strive every day to build the best tools available to ensure their data stays secure.

    @@ -537,7 +568,7 @@

    - +
    @@ -546,11 +577,11 @@

    - Yangshun Tay + Grab Engineering - 3 Jun 2017 | 26 min read + 11 Jul 2017 | 2 min read

    @@ -559,11 +590,7 @@

    - Front End - - JavaScript - - Web + Security
    @@ -583,9 +610,9 @@

    Engineering

    - DNS Resolution in Go and Cgo + How We Scaled Our Cache and Got a Good Night's Sleep

    -
    This article is part two of a two-part series. In this article, we will talk about RFC 6724 (3484), how DNS resolution works in Go and Cgo, and finally explaining why disabling IPv6 also disables the sorting of IP Addresses.
    +
    Caching is arguably the most important and widely used technique in computer industry, from CPU to Facebook live videos, cache is everywhere.
    @@ -595,7 +622,7 @@

    - +
    @@ -604,11 +631,11 @@

    - Ryan Law + Gao Chao - 24 May 2017 | 13 min read + 19 Jun 2017 | 5 min read

    @@ -617,9 +644,9 @@

    - Golang + Back End - Networking + Redis
    diff --git a/blog/21/index.html b/blog/21/index.html index 36deb0bb..d7a5f6c1 100644 --- a/blog/21/index.html +++ b/blog/21/index.html @@ -148,6 +148,127 @@ +
  • +
    + +
    + + Grab's Front End Study Guide cover photo + +
    + +
    +
    +
    + + + Engineering +

    + Grab's Front End Study Guide +

    +
    Grab is Southeast Asia (SEA)’s leading transportation platform and our mission is to drive SEA forward, leveraging on the latest technology and the talented people we have in the company. As of May 2017, we handle 2.3 million rides daily and we are growing and hiring at a rapid scale. +To keep up with Grab’s phenomenal growth, our web team and web platforms have to grow as well. Fortunately, or unfortunately, at Grab, the web team has been keeping up with the latest best practices and has incorporated the modern JavaScript ecosystem in our web apps.
    +
    +
    + +
    +
    + + + + + + + +
    + + + + + + Yangshun Tay + + + + 3 Jun 2017 | 26 min read +
    +
    +
    +
    + +
    + + + Front End + + JavaScript + + Web + +
    + + +
    +
    +
    +
    • + +
  • +
    + +
    +
    +
    + + + Engineering +

    + DNS Resolution in Go and Cgo +

    +
    This article is part two of a two-part series. In this article, we will talk about RFC 6724 (3484), how DNS resolution works in Go and Cgo, and finally explaining why disabling IPv6 also disables the sorting of IP Addresses.
    +
    +
    + +
    +
    + + + + + + + +
    + + + + + + Ryan Law + + + + 24 May 2017 | 13 min read +
    +
    +
    +
    + +
    + + + Golang + + Networking + +
    + + +
    +
    +
    +
    • +
  • @@ -555,123 +676,6 @@

    • -
  • -
    - -
    -
    -
    - - - Engineering -

    - A Key Expired in Redis, You Won't Believe What Happened Next -

    -
    One of Grab's more popular caching solutions is Redis (often in the flavour of the misleadingly named ElastiCache), and for most cases, it works. Except for that time it didn't. Follow our story as we investigate how Redis deals with consistency on key expiration.
    -
    -
    - -
    -
    - - - - - - - -
    - - - - - - Karan Kamath - - - - 27 Mar 2017 | 7 min read -
    -
    -
    -
    - -
    - - - Back End - - Redis - -
    - - -
    -
    -
    -
    • - -
  • -
    - -
    - - How Grab Hires Engineers in Singapore cover photo - -
    - -
    -
    -
    - - - Engineering -

    - How Grab Hires Engineers in Singapore -

    -
    Working at Grab will be the “most challenging yet rewarding opportunity” any employee will ever encounter. -
    -
    -
    - -
    -
    - - - - - - - -
    - - - - - - Daniel Tay - - - - 16 Feb 2017 | 7 min read -
    -
    -
    -
    - -
    - - - Hiring - -
    - - -
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    -
    • - diff --git a/blog/22/index.html b/blog/22/index.html index c9ef2c58..7bec4fe6 100644 --- a/blog/22/index.html +++ b/blog/22/index.html @@ -151,23 +151,16 @@
  • -
    - - Battling with Tech Giants for the World's Best Talent cover photo - -
    - -
    +
    Engineering

    - Battling with Tech Giants for the World's Best Talent + A Key Expired in Redis, You Won't Believe What Happened Next

    -
    Grab steadily attracts a diverse set of engineers from around the world in its three R&D centres: Singapore, Seattle, and Beijing. Right now, half of Grab’s top leadership team is made up of women and we have attracted people from five continents to work together on solving the biggest challenges for Southeast Asia. -
    +
    One of Grab's more popular caching solutions is Redis (often in the flavour of the misleadingly named ElastiCache), and for most cases, it works. Except for that time it didn't. Follow our story as we investigate how Redis deals with consistency on key expiration.
    @@ -177,7 +170,7 @@

    - +
    @@ -186,11 +179,11 @@

    - Grab Engineering + Karan Kamath - 18 Jan 2017 | 3 min read + 27 Mar 2017 | 7 min read

    @@ -199,7 +192,9 @@

    - Hiring + Back End + + Redis
    @@ -213,8 +208,8 @@

    - - This Rocket Ain't Stopping - Achieving Zero Downtime for Rails to Golang API Migration cover photo + + How Grab Hires Engineers in Singapore cover photo
    @@ -225,9 +220,9 @@

    Engineering

    - This Rocket Ain't Stopping - Achieving Zero Downtime for Rails to Golang API Migration + How Grab Hires Engineers in Singapore

    -
    Grab has been transitioning from a Rails + NodeJS stack to a full Golang Service Oriented Architecture. To contribute to a single common code base, we wanted to transfer engineers working on the Rails server powering our passenger app APIs to other Go teams. +
    Working at Grab will be the “most challenging yet rewarding opportunity” any employee will ever encounter.
    @@ -238,7 +233,7 @@

    - +
    @@ -247,11 +242,11 @@

    - Lian Yuanlin + Daniel Tay - 18 Oct 2016 | 7 min read + 16 Feb 2017 | 7 min read

    @@ -260,11 +255,7 @@

    - AWS - - Golang - - Ruby + Hiring
    @@ -278,8 +269,8 @@

    - - Grab Vietnam Careers Week cover photo + + Battling with Tech Giants for the World's Best Talent cover photo
    @@ -287,10 +278,13 @@

    + + Engineering

    - Grab Vietnam Careers Week + Battling with Tech Giants for the World's Best Talent

    -
    Grab is organising our first ever Grab Vietnam Careers Week in Ho Chi Minh City, Vietnam, from 22 to 26 October 2016. We are eager to have more engineers join our ranks to make a difference to improving transportation and reducing congestion in Southeast Asia. We are now on 23 million mobile devices supported by 460,000 drivers in the region, but we're only started and have much more to achieve! To find out more about Grab, take a look at our corporate profile at the end of this post.
    +
    Grab steadily attracts a diverse set of engineers from around the world in its three R&D centres: Singapore, Seattle, and Beijing. Right now, half of Grab’s top leadership team is made up of women and we have attracted people from five continents to work together on solving the biggest challenges for Southeast Asia. +
    @@ -313,7 +307,7 @@

    - 14 Oct 2016 | 5 min read + 18 Jan 2017 | 3 min read

    @@ -335,14 +329,23 @@

  • -
    +
    + + This Rocket Ain't Stopping - Achieving Zero Downtime for Rails to Golang API Migration cover photo + +
    + +
    + + Engineering

    - GrabPay Wins Best Fraud Prevention Innovation at the Florin Awards + This Rocket Ain't Stopping - Achieving Zero Downtime for Rails to Golang API Migration

    -
    I am honoured to receive the Best Fraud Prevention Innovation (Community Votes) Award at the 2016 Florin Awards on behalf of Grab. For those of you who voted for Grab, we thank you for your support that made this award possible.
    +
    Grab has been transitioning from a Rails + NodeJS stack to a full Golang Service Oriented Architecture. To contribute to a single common code base, we wanted to transfer engineers working on the Rails server powering our passenger app APIs to other Go teams. +
    @@ -352,7 +355,7 @@

    - +
    @@ -361,11 +364,11 @@

    - Foo Wui Ngiap + Lian Yuanlin - 12 Oct 2016 | 2 min read + 18 Oct 2016 | 7 min read

    @@ -374,7 +377,11 @@

    - User Trust + AWS + + Golang + + Ruby
    @@ -387,16 +394,20 @@

  • -
    +
    + + Grab Vietnam Careers Week cover photo + +
    + +
    - - Engineering

    - Round-robin in Distributed Systems + Grab Vietnam Careers Week

    -
    While working on Grab's Common Data Service (CDS), there was the need to implement client side load balancing between CDS clients and servers. However, I kept encountering persistent connection issues with Elastic Load Balance (ELB).
    +
    Grab is organising our first ever Grab Vietnam Careers Week in Ho Chi Minh City, Vietnam, from 22 to 26 October 2016. We are eager to have more engineers join our ranks to make a difference to improving transportation and reducing congestion in Southeast Asia. We are now on 23 million mobile devices supported by 460,000 drivers in the region, but we're only started and have much more to achieve! To find out more about Grab, take a look at our corporate profile at the end of this post.
    @@ -406,7 +417,7 @@

    - +
    @@ -415,11 +426,11 @@

    - Gao Chao + Grab Engineering - 27 Sep 2016 | 5 min read + 14 Oct 2016 | 5 min read

    @@ -428,15 +439,7 @@

    - Back End - - Data - - Distributed Systems - - ELB - - Golang + Hiring
    @@ -453,12 +456,10 @@

    - - Design

    - Why Test the Design with Only 5 Users + GrabPay Wins Best Fraud Prevention Innovation at the Florin Awards

    -
    The reasoning behind small sample sizes in qualitative usability research.
    +
    I am honoured to receive the Best Fraud Prevention Innovation (Community Votes) Award at the 2016 Florin Awards on behalf of Grab. For those of you who voted for Grab, we thank you for your support that made this award possible.
    @@ -468,7 +469,7 @@

    - +
    @@ -477,11 +478,11 @@

    - Avinash Papatla + Foo Wui Ngiap - 26 Aug 2016 | 5 min read + 12 Oct 2016 | 2 min read

    • @@ -490,9 +491,7 @@

    - User Research - - UX + User Trust
    @@ -512,11 +511,9 @@

    Engineering

    - Programmers Beware - UX is Not Just for Designers + Round-robin in Distributed Systems

    -
    Perhaps one of the biggest missed opportunities in Tech in recent history is UX. -Somehow, UX became the domain of Product Designers and User Interface Designers. -While they definitely are the right people to be thinking about web pages, mobile app screens and so on, we've missed a huge part of what we engineers work on every day: SDKs and APIs.
    +
    While working on Grab's Common Data Service (CDS), there was the need to implement client side load balancing between CDS clients and servers. However, I kept encountering persistent connection issues with Elastic Load Balance (ELB).
    @@ -526,7 +523,7 @@

    - +
    @@ -535,11 +532,11 @@

    - Corey Scott + Gao Chao - 5 Jul 2016 | 10 min read + 27 Sep 2016 | 5 min read

    @@ -548,9 +545,15 @@

    - API + Back End - UX + Data + + Distributed Systems + + ELB + + Golang
    @@ -568,12 +571,11 @@

    - Engineering + Design

    - Grab You Some Post-Mortem Reports + Why Test the Design with Only 5 Users

    -
    Grab adopts a Service-Oriented Architecture (SOA) to rapidly develop and deploy new feature services. One of the drawbacks of such a design is that team members find it hard to help with debugging production issues that inevitably arise in services belonging to other stakeholders. -
    +
    The reasoning behind small sample sizes in qualitative usability research.
    @@ -583,7 +585,7 @@

    - +
    @@ -592,11 +594,11 @@

    - Lian Yuanlin + Avinash Papatla - 4 Feb 2016 | 5 min read + 26 Aug 2016 | 5 min read

    @@ -605,7 +607,9 @@

    - Post Mortem + User Research + + UX
    diff --git a/blog/23/index.html b/blog/23/index.html index ca045c8d..01752901 100644 --- a/blog/23/index.html +++ b/blog/23/index.html @@ -148,6 +148,119 @@ +
  • +
    + +
    +
    +
    + + + Engineering +

    + Programmers Beware - UX is Not Just for Designers +

    +
    Perhaps one of the biggest missed opportunities in Tech in recent history is UX. +Somehow, UX became the domain of Product Designers and User Interface Designers. +While they definitely are the right people to be thinking about web pages, mobile app screens and so on, we've missed a huge part of what we engineers work on every day: SDKs and APIs.
    +
    +
    + +
    +
    + + + + + + + +
    + + + + + + Corey Scott + + + + 5 Jul 2016 | 10 min read +
    +
    +
    +
    + +
    + + + API + + UX + +
    + + +
    +
    +
    +
    • + +
  • +
    + +
    +
    +
    + + + Engineering +

    + Grab You Some Post-Mortem Reports +

    +
    Grab adopts a Service-Oriented Architecture (SOA) to rapidly develop and deploy new feature services. One of the drawbacks of such a design is that team members find it hard to help with debugging production issues that inevitably arise in services belonging to other stakeholders. +
    +
    +
    + +
    +
    + + + + + + + +
    + + + + + + Lian Yuanlin + + + + 4 Feb 2016 | 5 min read +
    +
    +
    +
    + +
    + + + Post Mortem + +
    + + +
    +
    +
    +
    • +
  • diff --git a/blog/3/index.html b/blog/3/index.html index 95ed6a61..c3002558 100644 --- a/blog/3/index.html +++ b/blog/3/index.html @@ -148,6 +148,164 @@ +
  • +
    + +
    + + Managing dynamic marketplace content at scale: Grab's approach to content moderation cover photo + +
    + +
    +
    +
    + + + Product +

    + Managing dynamic marketplace content at scale: Grab's approach to content moderation +

    +
    Understand how Grab employs a combination of automated and manual content moderation to manage its dynamic marketplace content efficiently, while also collaborating with Google to ensure marketplace safety.
    +
    +
    + +
    +
    + + + + + + + +
    + + + + + + Poonam Gambhire + + + + 1 Feb 2024 | 3 min read +
    +
    +
    +
    + +
    + + + Content moderation + + Dynamic marketplace + + Scaling + +
    + + +
    +
    +
    +
    • + +
  • +
    + +
    + + Rethinking Stream Processing: Data Exploration cover photo + +
    + +
    +
    +
    + + + Engineering +

    + Rethinking Stream Processing: Data Exploration +

    +
    As Grab matures along the digitalisation journey, it is collecting and streaming event data generated from the end users of its superapp on a larger magnitude than before. Coban, Grab’s data-streaming platform team, is looking to help unlock the value of streaming data at an earlier stage of the data journey before this data is typically stored in a central location (“Data Lake”). This allows Grab to serve its superapp users more efficiently.
    +
    +
    + +
    +
    + + + + + + + + + + + + + + + + + +
    + + + + + + Shi Kai Ng + + + + + + · + + Calvin Tran + + + + + + · + + Minh Nhat Nguyen + + + + 31 Jan 2024 | 12 min read +
    +
    +
    +
    + +
    + + + Data Streaming + + Deployments + + Kafka + + Kubernetes + + Streaming applications + +
    + + +
    +
    +
    +
    • +
  • @@ -695,152 +853,6 @@

    • -
  • -
    - -
    - - Scaling marketing for merchants with targeted and intelligent promos cover photo - -
    - -
    -
    -
    - - - Engineering - - · - - Data Science -

    - Scaling marketing for merchants with targeted and intelligent promos -

    -
    Apart from ensuring advertisements reach the right audience, it is also important to make promos by merchants more targeted and intelligent to help scale their marketing. With Grab’s innovative AI tool, merchants can boost sales while cutting costs. Dive into this game-changing tool that’s reshaping the future of marketing and find out how the Data Science team at Grab used automation and made promo assignments a more seamless and intelligent process.
    -
    -
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    - - - - - - - -
    - - - - - - Sharon Teng - - - - 11 Oct 2023 | 7 min read -
    -
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    - - - Advertising - - Data - - Data science - - Marketing - - Scalability - -
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    • - -
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    - - Stepping up marketing for advertisers: Scalable lookalike audience cover photo - -
    - -
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    - - - Engineering - - · - - Data Science -

    - Stepping up marketing for advertisers: Scalable lookalike audience -

    -
    A key challenge in advertising is reaching the right audience who are most likely to use your product. Read this article to find out how the Data Science team improved advertising effectiveness by using lookalike audiences to identify individuals who share similar characteristics with an existing consumer base.
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    - - - - - - - -
    - - - - - - William Wu - - - - 22 Sep 2023 | 8 min read -
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    - - - Advertising - - Data - - Data science - - Lookalike audience - - Marketing - - Scalability - -
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    • - diff --git a/blog/4/index.html b/blog/4/index.html index 3ea6e917..94812227 100644 --- a/blog/4/index.html +++ b/blog/4/index.html @@ -148,6 +148,152 @@ +
  • +
    + +
    + + Scaling marketing for merchants with targeted and intelligent promos cover photo + +
    + +
    +
    +
    + + + Engineering + + · + + Data Science +

    + Scaling marketing for merchants with targeted and intelligent promos +

    +
    Apart from ensuring advertisements reach the right audience, it is also important to make promos by merchants more targeted and intelligent to help scale their marketing. With Grab’s innovative AI tool, merchants can boost sales while cutting costs. Dive into this game-changing tool that’s reshaping the future of marketing and find out how the Data Science team at Grab used automation and made promo assignments a more seamless and intelligent process.
    +
    +
    + +
    +
    + + + + + + + +
    + + + + + + Sharon Teng + + + + 11 Oct 2023 | 7 min read +
    +
    +
    +
    + +
    + + + Advertising + + Data + + Data science + + Marketing + + Scalability + +
    + + +
    +
    +
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    • + +
  • +
    + +
    + + Stepping up marketing for advertisers: Scalable lookalike audience cover photo + +
    + +
    +
    +
    + + + Engineering + + · + + Data Science +

    + Stepping up marketing for advertisers: Scalable lookalike audience +

    +
    A key challenge in advertising is reaching the right audience who are most likely to use your product. Read this article to find out how the Data Science team improved advertising effectiveness by using lookalike audiences to identify individuals who share similar characteristics with an existing consumer base.
    +
    +
    + +
    +
    + + + + + + + +
    + + + + + + William Wu + + + + 22 Sep 2023 | 8 min read +
    +
    +
    +
    + +
    + + + Advertising + + Data + + Data science + + Lookalike audience + + Marketing + + Scalability + +
    + + +
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  • @@ -607,171 +753,6 @@

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    - - Performance bottlenecks of Go application on Kubernetes with non-integer (floating) CPU allocation cover photo - -
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    - - - Engineering -

    - Performance bottlenecks of Go application on Kubernetes with non-integer (floating) CPU allocation -

    -
    At Grab, we have been running our Go based stream processing framework (SPF) on Kubernetes for several years. But as the number of SPF pipelines increases, we noticed some performance bottlenecks and other issues. Read to find out how this issue came about and how the Coban team resolved it with non-integer CPU allocation.
    -
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    - - - - - - - - - - - - -
    - - - - - - Shubham Badkur - - - - - - · - - Alvis Chew - - - - 23 May 2023 | 9 min read -
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    - How we improved our iOS CI infrastructure with observability tools -

    -
    After upgrading to Xcode 13.1, we noticed a few issues such as instability of the CI tests and high CPU utilisation. Read to find out how the Test Automation - Mobile team investigated these issues and resolved them by integrating observability tools into our iOS CI development process.
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    + Performance bottlenecks of Go application on Kubernetes with non-integer (floating) CPU allocation +

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    At Grab, we have been running our Go based stream processing framework (SPF) on Kubernetes for several years. But as the number of SPF pipelines increases, we noticed some performance bottlenecks and other issues. Read to find out how this issue came about and how the Coban team resolved it with non-integer CPU allocation.
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    + + + + + + Shubham Badkur + + + + + + · + + Alvis Chew + + + + 23 May 2023 | 9 min read +
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    + How we improved our iOS CI infrastructure with observability tools +

    +
    After upgrading to Xcode 13.1, we noticed a few issues such as instability of the CI tests and high CPU utilisation. Read to find out how the Test Automation - Mobile team investigated these issues and resolved them by integrating observability tools into our iOS CI development process.
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    Built by Grab, the Geohash Java OpenStreetMap Editor (JOSM) plugin is widely used in map-making, but a common pain point is the inability to zoom in to a specific region without displaying new geohashes. Read to find out more about the issue and how the latest update addresses it.
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    + + Securing GitOps pipelines cover photo + +
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    + Securing GitOps pipelines +

    +
    This article illustrates how Grab’s real-time data platform team secured GitOps pipelines at scale with our in-house GitOps implementation.
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    + + + + + + Thang Le + + + + 1 Mar 2023 | 10 min read +
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    + + New zoom freezing feature for Geohash plugin cover photo + +
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    + + + Engineering + + · + + Product +

    + New zoom freezing feature for Geohash plugin +

    +
    Built by Grab, the Geohash Java OpenStreetMap Editor (JOSM) plugin is widely used in map-making, but a common pain point is the inability to zoom in to a specific region without displaying new geohashes. Read to find out more about the issue and how the latest update addresses it.
    +
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    + + + + + + + +
    + + + + + + Maria Mitisor + + + + 21 Feb 2023 | 4 min read +
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    At Grab, real-time fraud detection is built on a rule engine. As data scientists and analysts, we need to analyse and simulate a rule on historical data to check the performance and accuracy of the rule. Backtesting, also known as Replay, enables analysts to run simulations of either newly-invented rules, or evaluate the performance of existing rules using past events ranging from days to months, and significantly improve rule creation efficiency.
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    The Grab Order Platform is a distributed system that processes millions of GrabFood or GrabMart orders every day. Learn about how the Grab order platform stores food order data to serve transactional (OLTP) and analytical (OLAP) queries.
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    + + Automatic rule backtesting with large quantities of data cover photo + +
    + +
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    +
    + + + Engineering + + · + + Data Science +

    + Automatic rule backtesting with large quantities of data +

    +
    At Grab, real-time fraud detection is built on a rule engine. As data scientists and analysts, we need to analyse and simulate a rule on historical data to check the performance and accuracy of the rule. Backtesting, also known as Replay, enables analysts to run simulations of either newly-invented rules, or evaluate the performance of existing rules using past events ranging from days to months, and significantly improve rule creation efficiency.
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    + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + Chao Wang + + + + + + · + + Clemens Valiente + + + + + + · + + Jun Liu + + + + + + · + + Daniel Wang + + + + 8 Sep 2022 | 6 min read +
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    + + + Automation + + Backtesting + + Data science + + Testing + +
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    + + How we store and process millions of orders daily cover photo + +
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    +
    + + + Engineering + + · + + Data Science +

    + How we store and process millions of orders daily +

    +
    The Grab Order Platform is a distributed system that processes millions of GrabFood or GrabMart orders every day. Learn about how the Grab order platform stores food order data to serve transactional (OLTP) and analytical (OLAP) queries.
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    + +
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    + + + + + + + + + + + + +
    + + + + + + Xi Chen + + + + + + · + + Siliang Cao + + + + 15 Aug 2022 | 9 min read +
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    As fraudulent entities evolve and get smarter, Grab needs to continuously enhance our defences to protect our consumers. Read to find out how Graph Networks help the Integrity team advance fraud detection at Grab.
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    + Embracing a Docs-as-Code approach +

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    Read to find out how Grab is using the Docs-as-Code approach to improve technical documentation.
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    + + + + + + Shu Juan Cheong + + + + 4 May 2022 | 4 min read +
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    + + Graph Networks - Striking fraud syndicates in the dark cover photo + +
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    + + + Engineering + + · + + Security +

    + Graph Networks - Striking fraud syndicates in the dark +

    +
    As fraudulent entities evolve and get smarter, Grab needs to continuously enhance our defences to protect our consumers. Read to find out how Graph Networks help the Integrity team advance fraud detection at Grab.
    +
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    +
    + + + + + + + +
    + + + + + + Muqi Li + + + + 28 Apr 2022 | 4 min read +
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    + + + Fraud detection + + Graph networks + + Graphs + + Security + +
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    Establishing communications between cloud resources that are hosted on different Virtual Private Clouds (VPC) can be complex and costly. Find out how the Coban team used a VPC Endpoint Service to expose an Apache Kafka cluster across multiple Availability Zones to a different VPC.
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    - - Biometric authentication - Why do we need it? cover photo + + Exposing a Kafka Cluster via a VPC Endpoint Service cover photo
    @@ -162,11 +162,11 @@
    - Security + Engineering

    - Biometric authentication - Why do we need it? + Exposing a Kafka Cluster via a VPC Endpoint Service

    -
    As cyberattacks get more advanced, authentication methods like one-time passwords (OTPs) and personal identification numbers (PINs) are no longer enough to protect your users. Find out how biometric authentication can help enhance security.
    +
    Establishing communications between cloud resources that are hosted on different Virtual Private Clouds (VPC) can be complex and costly. Find out how the Coban team used a VPC Endpoint Service to expose an Apache Kafka cluster across multiple Availability Zones to a different VPC.
    @@ -176,12 +176,7 @@

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    - Chad Burgess - - - - - - · - - Rachel Fong + Fabrice Harbulot - 20 Jan 2022 | 6 min read + 18 Feb 2022 | 8 min read

    @@ -211,9 +198,11 @@

    + Cloud + Engineering - Security + Kafka
    @@ -227,8 +216,8 @@

    - - Using real-world patterns to improve matching in theory and practice cover photo + + How Grab built a scalable, high-performance ad server cover photo
    @@ -237,11 +226,11 @@

    - Data Science + Product

    - Using real-world patterns to improve matching in theory and practice + How Grab built a scalable, high-performance ad server

    -
    Find out how real-world patterns can be used to improve algorithm performance when performing bipartite matching for passengers and driver-partners.
    +
    Like many businesses, Grab leverages ads to create awareness and increase engagement with our consumers. Read to find out how the GrabAds team built an ad server that could scale according to our growing consumer base.

    @@ -251,12 +240,37 @@

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    - Tenindra Abeywickrama + Anthony McCallum @@ -273,11 +287,51 @@

    · - Victor Liang + Jeremy Wang + + + + + + · + + Wenxin Liao + + + + + + · + + Ashish Agarwal + + + + + + · + + Xiuqi Chenyang + + + + + + · + + Andy Lin + + + + + + · + + Eliot Li - 22 Nov 2021 | 12 min read + 11 Feb 2022 | 7 min read

    @@ -286,9 +340,11 @@

    - Data Science + Ads - Research + Design + + Engineering
    @@ -302,8 +358,8 @@

    - - Designing products and services based on Jobs to be Done cover photo + + Biometric authentication - Why do we need it? cover photo
    @@ -312,11 +368,11 @@

    - Design + Security

    - Designing products and services based on Jobs to be Done + Biometric authentication - Why do we need it?

    -
    In this post, we explain how the Jobs to be Done (JTBD) framework helps uncover the JTBD for consumers, as well as how we uncovered the core needs of GrabFood consumers and aligned the product with these needs.
    +
    As cyberattacks get more advanced, authentication methods like one-time passwords (OTPs) and personal identification numbers (PINs) are no longer enough to protect your users. Find out how biometric authentication can help enhance security.

    @@ -326,17 +382,12 @@

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    - Tim Lange - - - - - - · - - Soon Hau Chua + Chad Burgess @@ -361,11 +404,11 @@

    · - Sherizan Sheikh + Rachel Fong - 21 Oct 2021 | 7 min read + 20 Jan 2022 | 6 min read

    @@ -374,13 +417,9 @@

    - Database - - Design - - Product + Engineering - User Research + Security
    @@ -394,8 +433,8 @@

    - - Search indexing optimisation cover photo + + Using real-world patterns to improve matching in theory and practice cover photo
    @@ -404,11 +443,11 @@

    - Engineering + Data Science

    - Search indexing optimisation + Using real-world patterns to improve matching in theory and practice

    -
    Learn about the different optimisation techniques when building a search index.
    +
    Find out how real-world patterns can be used to improve algorithm performance when performing bipartite matching for passengers and driver-partners.

    @@ -418,12 +457,12 @@

    - + - +
    @@ -432,7 +471,7 @@

    - Weilun Wu + Tenindra Abeywickrama @@ -440,11 +479,11 @@

    · - YanGuang Hu + Victor Liang - 27 Sep 2021 | 11 min read + 22 Nov 2021 | 12 min read

    @@ -453,13 +492,9 @@

    - Data - - Database - - Engineering + Data Science - Optimisation + Research
    @@ -473,8 +508,8 @@

    - - Automating Multi-Armed Bandit testing during feature rollout cover photo + + Designing products and services based on Jobs to be Done cover photo
    @@ -483,11 +518,11 @@

    - Engineering + Design

    - Automating Multi-Armed Bandit testing during feature rollout + Designing products and services based on Jobs to be Done

    -
    Find out how you can run an automated test and simultaneously roll out a new feature.
    +
    In this post, we explain how the Jobs to be Done (JTBD) framework helps uncover the JTBD for consumers, as well as how we uncovered the core needs of GrabFood consumers and aligned the product with these needs.

    @@ -497,22 +532,17 @@

    - - - - - - + - + - +
    @@ -521,15 +551,7 @@

    - Weicheng Zhu - - - - - - · - - Zhuolun Li + Tim Lange @@ -537,7 +559,7 @@

    · - Weilun Wu + Soon Hau Chua @@ -545,11 +567,11 @@

    · - Da Huang + Sherizan Sheikh - 1 Sep 2021 | 6 min read + 21 Oct 2021 | 7 min read

    @@ -558,11 +580,13 @@

    - Engineering + Database - Optimisation + Design - Testing + Product + + User Research
    @@ -576,8 +600,8 @@

    - - How We Cut GrabFood.com’s Page JavaScript Asset Sizes by 3x cover photo + + Search indexing optimisation cover photo
    @@ -586,11 +610,11 @@

    - Product + Engineering

    - How We Cut GrabFood.com’s Page JavaScript Asset Sizes by 3x + Search indexing optimisation

    -
    Find out how the GrabFood team cut their bundle size by 3 times with these 7 webpack bundle optimisation strategies.
    +
    Learn about the different optimisation techniques when building a search index.

    @@ -600,7 +624,12 @@

    - + + + + + +
    @@ -609,11 +638,19 @@

    - Gibson Cheng + Weilun Wu + + + + + + · + + YanGuang Hu - 29 Jul 2021 | 15 min read + 27 Sep 2021 | 11 min read

    @@ -622,13 +659,13 @@

    - Asset Size + Data - Cloud + Database - Optimisation + Engineering - Product + Optimisation
    @@ -642,8 +679,8 @@

    - - Protecting Personal Data in Grab's Imagery cover photo + + Automating Multi-Armed Bandit testing during feature rollout cover photo
    @@ -654,9 +691,9 @@

    Engineering

    - Protecting Personal Data in Grab's Imagery + Automating Multi-Armed Bandit testing during feature rollout

    -
    Learn how Grab improves privacy protection to cater to various geographical locations.
    +
    Find out how you can run an automated test and simultaneously roll out a new feature.
    @@ -666,22 +703,22 @@

    - + - + - + - +
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    - Adrian Popovici + Weicheng Zhu @@ -698,7 +735,7 @@

    · - Zsolt Vadaszi + Zhuolun Li @@ -706,7 +743,7 @@

    · - Adrian Margin + Weilun Wu @@ -714,11 +751,11 @@

    · - Hannes Kruppa + Da Huang - 26 Jul 2021 | 15 min read + 1 Sep 2021 | 6 min read

    @@ -727,15 +764,11 @@

    - Data - - Data Science - - Datasets - Engineering - Machine Learning + Optimisation + + Testing
    @@ -749,8 +782,8 @@

    - - Processing ETL tasks with Ratchet cover photo + + How We Cut GrabFood.com’s Page JavaScript Asset Sizes by 3x cover photo
    @@ -759,11 +792,11 @@

    - Engineering + Product

    - Processing ETL tasks with Ratchet + How We Cut GrabFood.com’s Page JavaScript Asset Sizes by 3x

    -
    Read about what Data and ETL pipelines are and how they are used for processing multiple tasks in the Lending Team at Grab.
    +
    Find out how the GrabFood team cut their bundle size by 3 times with these 7 webpack bundle optimisation strategies.

    @@ -773,7 +806,7 @@

    - +
    @@ -782,11 +815,11 @@

    - Amar Prakash + Gibson Cheng - 19 Jul 2021 | 9 min read + 29 Jul 2021 | 15 min read

    @@ -795,13 +828,13 @@

    - Data + Asset Size - Engineering + Cloud - ETL + Optimisation - Pipelines + Product
    diff --git a/categories/data-science/index.html b/categories/data-science/index.html index 2709b945..08ab3e78 100644 --- a/categories/data-science/index.html +++ b/categories/data-science/index.html @@ -146,6 +146,134 @@

    Data Science