From 07421db387954933afde8ac513311cbddb268019 Mon Sep 17 00:00:00 2001 From: Travis CI Date: Thu, 12 Dec 2024 02:25:30 +0000 Subject: [PATCH] new version Thu Dec 12 02:25:30 UTC 2024 --- authors.html | 44 ++ blog/10/index.html | 171 ++--- blog/11/index.html | 223 ++++--- blog/12/index.html | 186 +++--- blog/13/index.html | 144 +++-- blog/14/index.html | 177 +++--- blog/15/index.html | 210 +++---- blog/16/index.html | 186 +++--- blog/17/index.html | 139 ++-- blog/18/index.html | 154 ++--- blog/19/index.html | 162 +++-- blog/2/index.html | 207 +++--- blog/20/index.html | 130 ++-- blog/21/index.html | 127 ++-- blog/22/index.html | 121 ++-- blog/23/index.html | 114 ++-- blog/24/index.html | 58 ++ blog/3/index.html | 145 +++-- blog/4/index.html | 136 ++-- blog/5/index.html | 145 +++-- blog/6/index.html | 143 ++--- blog/7/index.html | 179 +++--- blog/8/index.html | 175 ++++-- blog/9/index.html | 130 ++-- categories/engineering/index.html | 87 +++ categories/product/index.html | 87 +++ feed.json | 34 +- feed.xml | 451 +++++++------ img/authors/michael-parreno.png | Bin 0 -> 421432 bytes img/authors/theodore-felix.png | Bin 0 -> 265461 bytes .../cover.png | Bin 0 -> 860242 bytes .../database-qps-membership-renewals.png | Bin 0 -> 168751 bytes ...limited-new-system-design-architecture.jpg | Bin 0 -> 119102 bytes ...imited-previous-system-design-overview.jpg | Bin 0 -> 120161 bytes .../idempotency-issue-old-system-design.jpg | Bin 0 -> 41622 bytes .../life-of-a-membership-worfklow.jpg | Bin 0 -> 44261 bytes .../temporal-workflow.jpg | Bin 0 -> 38883 bytes .../total-corrupted-membership-states.png | Bin 0 -> 69553 bytes .../total-opi-related-to-membership.png | Bin 0 -> 76601 bytes .../total-qps-before-after-temporal.png | Bin 0 -> 100703 bytes index.html | 229 +++---- search.html | 10 + tags.html | 25 + ...ocharging-grabunlimited-with-temporal.html | 593 ++++++++++++++++++ 44 files changed, 3077 insertions(+), 2045 deletions(-) create mode 100644 img/authors/michael-parreno.png create mode 100644 img/authors/theodore-felix.png create mode 100644 img/turbocharging-grabunlimited-with-temporal/cover.png create mode 100644 img/turbocharging-grabunlimited-with-temporal/database-qps-membership-renewals.png create mode 100644 img/turbocharging-grabunlimited-with-temporal/grabunlimited-new-system-design-architecture.jpg create mode 100644 img/turbocharging-grabunlimited-with-temporal/grabunlimited-previous-system-design-overview.jpg create mode 100644 img/turbocharging-grabunlimited-with-temporal/idempotency-issue-old-system-design.jpg create mode 100644 img/turbocharging-grabunlimited-with-temporal/life-of-a-membership-worfklow.jpg create mode 100644 img/turbocharging-grabunlimited-with-temporal/temporal-workflow.jpg create mode 100644 img/turbocharging-grabunlimited-with-temporal/total-corrupted-membership-states.png create mode 100644 img/turbocharging-grabunlimited-with-temporal/total-opi-related-to-membership.png create mode 100644 img/turbocharging-grabunlimited-with-temporal/total-qps-before-after-temporal.png create mode 100644 turbocharging-grabunlimited-with-temporal.html diff --git a/authors.html b/authors.html index 1c830835..b305b20e 100644 --- a/authors.html +++ b/authors.html @@ -3739,6 +3739,28 @@

Michael Chirico

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Michel Parreno

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Tharaka Wijebandara

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Theodore Felix Leo

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diff --git a/blog/10/index.html b/blog/10/index.html index d47ea761..6000e179 100644 --- a/blog/10/index.html +++ b/blog/10/index.html @@ -148,6 +148,70 @@ +
  • +
    + +
    + + Exposing a Kafka Cluster via a VPC Endpoint Service cover photo + +
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    + + + Engineering +

    + Exposing a Kafka Cluster via a VPC Endpoint Service +

    +
    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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    + + + + + + Fabrice Harbulot + + + + 18 Feb 2022 | 8 min read +
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    - - Protecting Personal Data in Grab's Imagery cover photo - -
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    Learn how Grab improves privacy protection to cater to various geographical locations.
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    + + Protecting Personal Data in Grab's Imagery cover photo + +
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    + Protecting Personal Data in Grab's Imagery +

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    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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    - 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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    + + 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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    + + + + + + Sc Ng + + + + + + · + + Herman Khoo + + + + + + · + + Audrey Jee + + + + + + · + + Vaibhav Vij + + + + + + · + + Mohammed Milhad Miah + + + + 22 Mar 2021 | 5 min read +
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    Learn how we planned and started migrating our superapp to Bazel at Grab.
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    + How Grab is Blazing Through the Superapp Bazel Migration +

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    Learn how we planned and started migrating our superapp to Bazel at Grab.
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    + + + + + + Sergii Grechukha + + + + 3 Dec 2020 | 15 min read +
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    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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    + + The Journey of Deploying Apache Airflow at Grab cover photo + +
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    + The Journey of Deploying Apache Airflow at Grab +

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    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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    - 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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    + + + Engineering +

    + 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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    + + + + + + Zhengmin Xu + + + + + + · + + Poornima Badrinath + + + + + + · + + Xiaocheng Huang + + + + + + · + + Abeesh Thomas + + + + 20 Feb 2020 | 7 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 cover photo + +
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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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    + + + + + + Chao Wang + + + + + + · + + Muqi Li + + + + + + · + + Gregory Allan + + + + + + · + + Varun Kansal + + + + 21 Oct 2019 | 10 min read +
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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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    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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    + How We Harnessed the Wisdom of Crowds to Improve Restaurant Location Accuracy +

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    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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    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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    + 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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    - Journey of a Tourist via Grab -

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    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!
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    + Evolution of Catwalk: Model serving platform at Grab +

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    Read about the evolution of Catwalk, Grab's model serving platform, from its inception to its current state. Discover how it has evolved to meet the needs of Grab's growing machine learning model serving requirements.
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    + Journey of a Tourist via Grab +

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    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!
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    + + + + + + Lara PuReum Yim + + + + 11 Sep 2018 | 6 min read +
    +
    +
    +
    + +
    + + + Analytics + + Data + + Data Analytics + + Tourism + + Tourists + +
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    - - GrabShare at the Intelligent Transportation Engineering Conference cover photo - -
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    - GrabShare at the Intelligent Transportation Engineering Conference -

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    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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  • +
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    + + GrabShare at the Intelligent Transportation Engineering Conference cover photo + +
    + +
    +
    +
    + + + 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.
    +
    +
    + +
    +
    + + + + + + + +
    + + + + + + Dominic Widdows + + + + 13 Dec 2017 | 3 min read +
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    + + + Data Science + + GrabShare + +
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  • @@ -594,71 +656,6 @@

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    - - Grab's Front End Study Guide cover photo - -
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    - Grab's Front End Study Guide -

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    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.
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    - - - - - - - -
    - - - - - - Yangshun Tay - - - - 3 Jun 2017 | 26 min read -
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  • +
    + +
    + + 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.
    +
    +
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    +
    + + + + + + + +
    + + + + + + Yangshun Tay + + + + 3 Jun 2017 | 26 min read +
    +
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    + +
    + + + Front End + + JavaScript + + Web + +
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  • @@ -611,62 +676,6 @@

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    - 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.
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    - - - - - - Karan Kamath - - - - 27 Mar 2017 | 7 min read -
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  • +
    + +
    +
    +
    + + + 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 + +
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  • @@ -563,64 +619,6 @@

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    - 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.
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    +
    +
    + + + 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 +
    +
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  • diff --git a/blog/3/index.html b/blog/3/index.html index 51d94316..06a7444b 100644 --- a/blog/3/index.html +++ b/blog/3/index.html @@ -148,6 +148,87 @@ +
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    + +
    + + How we evaluated the business impact of marketing campaigns cover photo + +
    + +
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    +
    + + + 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 +
    +
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    +
    + +
    + + + A/B Testing + + Marketing + + Metrics + + Optimisation + + Statistic + +
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  • @@ -785,70 +866,6 @@

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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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    + +
    + + 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 + +
    + + +
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    - - Scaling marketing for merchants with targeted and intelligent promos cover photo - -
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    - 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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    + +
    + + 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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    - - Performance bottlenecks of Go application on Kubernetes with non-integer (floating) CPU allocation cover photo - -
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    - 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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  • +
    + +
    + + Performance bottlenecks of Go application on Kubernetes with non-integer (floating) CPU allocation cover photo + +
    + +
    +
    +
    + + + 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.
    +
    +
    + +
    +
    + + + + + + + + + + + + +
    + + + + + + Shubham Badkur + + + + + + · + + Alvis Chew + + + + 23 May 2023 | 9 min read +
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    - - Securing GitOps pipelines cover photo - -
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    - Securing GitOps pipelines -

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    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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    + + Securing GitOps pipelines cover photo + +
    + +
    +
    +
    + + + Engineering +

    + 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.
    +
    +
    + +
    +
    + + + + + + + +
    + + + + + + Thang Le + + + + 1 Mar 2023 | 10 min read +
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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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  • +
    + +
    + + Automatic rule backtesting with large quantities of data cover photo + +
    + +
    +
    +
    + + + 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.
    +
    +
    + +
    +
    + + + + + + + + + + + + + + + + + + + + + + +
    + + + + + + Chao Wang + + + + + + · + + Clemens Valiente + + + + + + · + + Jun Liu + + + + + + · + + Daniel Wang + + + + 8 Sep 2022 | 6 min read +
    +
    +
    +
    + +
    + + + Automation + + Backtesting + + Data science + + Testing + +
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  • @@ -795,72 +904,6 @@

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    - - Embracing a Docs-as-Code approach cover photo - -
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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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    + + Embracing a Docs-as-Code approach cover photo + +
    + +
    +
    +
    + + + Engineering +

    + Embracing a Docs-as-Code approach +

    +
    Read to find out how Grab is using the Docs-as-Code approach to improve technical documentation.
    +
    +
    + +
    +
    + + + + + + + +
    + + + + + + Shu Juan Cheong + + + + 4 May 2022 | 4 min read +
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    - Exposing a Kafka Cluster via a VPC Endpoint Service -

    -
    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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    - - - - - - Fabrice Harbulot - - - - 18 Feb 2022 | 8 min read -
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    Engineering