Grab’s Customer Data Platform (CDP) introduces Scenarios, enabling real-time personalization at scale. By leveraging event triggers, geo-fencing, historical data, and predictive models, Grab delivers dynamic user experiences like mall offers, traveler recommendations…

Grab is redefining how engineers respond to operational incidents by introducing Kinabalu AI Site Reliability Engineering (AI SRE); an AI-assisted platform that brings together fragmented context, automates reasoning, and accelerates the path from alert to…

Large container images were causing slow cold starts and poor auto-scaling for Grab's data platforms. This post explores how we implemented Docker image lazy loading with Seekable OCI (SOCI) technology, to achieve faster image pulls and startup times. The…

The Analytics Data Warehouse (ADW) team at Grab supports over 1,000 users. These users support an extensive repository of more than 15,000 tables. To alleviate the time-consuming demands of repetitive tasks, the team implemented a multi-agent AI system. This…

How does Grab manage quality across hundreds of thousands of data assets? Discover the foundational tools powering our Signals Marketplace. We dive into Hubble for discovery, Genchi for observability, and our Data Contract Registry to see how event-driven…

How does Grab manage quality across hundreds of thousands of data assets? Discover the foundational tools powering our Signals Marketplace. We dive into Hubble for discovery, Genchi for observability, and our Data Contract Registry to see how event-driven…

Discover how Grab's data streaming team has revolutionized Apache Flink deployments with Shadow Testing, ensuring seamless reliability for real-time applications. By deploying new versions alongside existing ones without disruption, we eliminate downtime…

At Grab, we're transforming data ingestion and processing with Hugo, our self-service data platform. Now integrated with Apache Flink, Hugo empowers teams to build real-time data pipelines effortlessly. Discover how we've streamlined complex processes into…

Database Administrator

Interview with a DBA with Walter Wallis - aired on the DBA 2026.

Sponsored by Jetbrains: https://www.jetbrains.com/idea/


credits: some jokes from twitter @DEVOPS_BORAT and derivative channels.

Programmerhumor
Programming jokes…

As Grab's Data Lake grew to petabytes, the limitations of Hive Parquet became clear, from catalog latency and small files to manual partition management. This blog shares our journey adopting Apache Iceberg as our default table format: why we chose it, how…