-
Engineering · Data ScienceAutomated Experiment Analysis - Making experimental analysis scalable
Analysts and data scientists invest lots of time into creating trustworthy experiments, which are key to making sound decisions. Read to find out how Automated Experiment Analysis helps make experimental analysis more scalable.
-
EngineeringSearch architecture revamp
Grab’s search architecture was initially designed to only support exact text matching based on user queries. Find out what problems the Deliveries search team faced and how they improved the search architecture to address these issues.
-
EngineeringEmbracing a Docs-as-Code approach
Read to find out how Grab is using the Docs-as-Code approach to improve technical documentation.
-
Engineering · SecurityGraph 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.
-
EngineeringHow we reduced our CI YAML files from 1800 lines to 50 lines
GitLab and its tooling are are an integral part of the machine learning platform team stack, for continuous delivery of machine learning. One of our core products is MerLin Pipelines. We were reaching certain limitations of GitLab for large repositories by way of includes and nested gitlab-ci YAML files.
-
EngineeringHow Kafka Connect helps move data seamlessly
Grab’s real-time data platform team (Coban) covers the importance of moving data in and out of Kafka easily and how Kafka Connect helps with that.
-
EngineeringSupporting large campaigns at scale
Running batch jobs targeting a large user base is a challenge. Find out how we designed our system to tackle the challenge at scale.
-
Engineering · Data ScienceHow telematics helps Grab to improve safety
Coupled with data science, telematics can help to detect traffic events such as harsh braking and unsafe lane changes so we can provide a safer experience for our users. Read on to find out more about the challenges faced and how we addressed them with telematics.