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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.
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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.
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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.
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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.
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Engineering · Data ScienceReal-time data ingestion in Grab
When it comes to data ingestion, there are several prevailing issues that come to mind: data inconsistency, integrity and maintenance. Find out how the Caspian team leveraged real-time data ingestion to help address these pain points.
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EngineeringAbacus - Issuing points for multiple sources
Learn about the challenges of points rewarding and how GrabRewards Points are rewarded for different Grab offerings.
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EngineeringExposing 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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ProductHow Grab built a scalable, high-performance ad server
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.
