Data Mesh at Grab (Part III): Operationalizing data reliability with automated DPIs
Make data reliability as dependable as running water. Learn how Grab operationalises this vision using automated Data Production Issues (DPIs) to convert data contract breaches into structured, actionable workflows. By closing the loop from detection to recovery, DPIs ensure certified data products remain trusted at scale.
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Data Mesh at Grab (Part III): Operationalizing data reliability with automated DPIs
Building Jarvis Pro: Route first, answer later
Grab Bench: Evaluating AI on Grab-shaped production work
How AI is transforming analytics at Grab
Crowdsourced taxonomy verification: A feedback-driven framework for refining knowledge graph relationships via online search interactions
Agent platform (Part 1): How we help Grab build and run AI agents at scale
Scaling Grab's Data Lake: Our journey to Apache Iceberg adoption
Migrating Counter Service storage: Design choices and learnings
Scaling out Distroless adoption With AI
Palana (Part 2): Architecting isolation, identity, and auditability for AI agents
Palana (Part 1): Why Grab built a secure platform for autonomous AI Agents
From decentralized Docs-as-Code to a centralized repository: Evolving Grab's documentation strategy
The Hugo evolution: Engineering Grab's unified, one-click data ingestion platform with Apache Flink
Scaling developer experience: How we improved Android Studio in a large monorepo
Enhancing Flink deployment with shadow testing
Data Mesh at Grab (Part II): The foundational tools behind certification
From firefighting to building: How AI agents restored our team’s core productivity
Enabling R8 optimization at scale with AI-assisted debugging
Reclaiming Terabytes: Optimizing Android image caching with TLRU
Cursor at Grab: Adoption and impact
Docker lazy loading at Grab: Accelerating container startup times
From deployment slop to production reality: How BriX bridges the gap with enterprise-grade AI infrastructure
Demystifying user journeys: Revolutionizing troubleshooting with auto tracking
How Grab is accelerating growth with real-time personalization using Customer Data Platform scenarios
A Decade of Defense: Celebrating Grab's 10th Year Bug Bounty Program
Real-time data quality monitoring: Kafka stream contracts with syntactic and semantic test
SpellVault’s evolution: Beyond LLM apps, towards the agentic future
Grab's Mac Cloud Exit supercharges macOS CI/CD
How we built a custom vision LLM to improve document processing at Grab
Machine-learning predictive autoscaling for Flink
Modernising Grab’s model serving platform with NVIDIA Triton Inference Server
Highly concurrent in-memory counter in GoLang
User foundation models for Grab
Powering Partner Gateway metrics with Apache Pinot
Taming the monorepo beast: Our journey to a leaner, faster GitLab repo
Data mesh at Grab part I: Building trust through certification
The evolution of Grab's machine learning feature store
Grab's service mesh evolution: From Consul to Istio
DispatchGym: Grab’s reinforcement learning research framework
Counter Service: How we rewrote it in Rust
The complete stream processing journey on FlinkSQL
Effortless enterprise authentication at Grab: Dex in action
From failure to success: The birth of GrabGPT, Grab’s internal ChatGPT
Streamlining RiskOps with the SOP agent framework
Introducing the SOP-driven LLM agent frameworks
Evaluating performance impact of removing Redis-cache from a Scylla-backed service
Facilitating Docs-as-Code implementation for users unfamiliar with Markdown
Improving Hugo stability and addressing oncall challenges through automation
Building a Spark observability product with StarRocks: Real-time and historical performance analysis
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Grab AI Gateway: Connecting Grabbers to multiple GenAI providers
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Turbocharging GrabUnlimited with Temporal
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Supercharging LLM application development with LLM-Kit
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Metasense V2: Enhancing, improving and productionisation of LLM powered data governance
How we reduced peak memory and CPU usage of the product configuration management SDK
LLM-assisted vector similarity search
Leveraging RAG-powered LLMs for analytical tasks
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Enabling conversational data discovery with LLMs at Grab
Bringing Grab’s Live Activity to Android: Enhancing user experience through custom notifications
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Chimera Sandbox: A scalable experimentation and development platform for Notebook services
How we improved translation experience with cost efficiency
LLM-powered data classification for data entities at scale
Profile-guided optimisation (PGO) on Grab services
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Ensuring data reliability and observability in risk systems
Grab Experiment Decision Engine - a Unified Toolkit for Experimentation
Iris - Turning observations into actionable insights for enhanced decision making
Android App Size at Scale with Project Bonsai
Enabling near real-time data analytics on the data lake
The journey of building a comprehensive attribution platform
Managing dynamic marketplace content at scale: Grab's approach to content moderation
Rethinking Stream Processing: Data Exploration
Kafka on Kubernetes: Reloaded for fault tolerance
Championing CyberSecurity: Grab's bug bounty programme in 2023
Sliding window rate limits in distributed systems
An elegant platform
Road localisation in GrabMaps
Graph modelling guidelines
Scaling marketing for merchants with targeted and intelligent promos
Stepping up marketing for advertisers: Scalable lookalike audience
Building hyperlocal GrabMaps
Streamlining Grab's Segmentation Platform with faster creation and lower latency
Unsupervised graph anomaly detection - Catching new fraudulent behaviours
Zero traffic cost for Kafka consumers
Go module proxy at Grab
PII masking for privacy-grade machine learning
Performance bottlenecks of Go application on Kubernetes with non-integer (floating) CPU allocation
How we improved our iOS CI infrastructure with observability tools
2.3x faster using the Go plugin to replace Lua virtual machine
Safer deployment of streaming applications
Message Center - Redesigning the messaging experience on the Grab superapp
Evolution of quality at Grab
How OVO determined the right technology stack for their web-based projects
Migrating from Role to Attribute-based Access Control
Securing GitOps pipelines
New zoom freezing feature for Geohash plugin
Graph service platform
Zero trust with Kafka
How KartaCam powers GrabMaps
Graph for fraud detection
Query expansion based on user behaviour
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Automatic rule backtesting with large quantities of data
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Graph Networks - Striking fraud syndicates in the dark
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Abacus - Issuing points for multiple sources
Exposing a Kafka Cluster via a VPC Endpoint Service
How Grab built a scalable, high-performance ad server
Biometric authentication - Why do we need it?
Using real-world patterns to improve matching in theory and practice
Designing products and services based on Jobs to be Done
Search indexing optimisation
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Protecting Personal Data in Grab's Imagery
Processing ETL tasks with Ratchet
App Modularisation at Scale
Reshaping Chat Support for Our Users
Debugging High Latency Due to Context Leaks
Building a Hyper Self-Service, Distributed Tracing and Feedback System for Rule & Machine Learning (ML) Predictions
Our Journey to Continuous Delivery at Grab (Part 2)
How We Improved Agent Chat Efficiency with Machine Learning
How Grab Leveraged Performance Marketing Automation to Improve Conversion Rates by 30%
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Customer Support Workforce Routing
Serving Driver-partners Data at Scale Using Mirror Cache
The GrabMart Journey
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Pharos - Searching Nearby Drivers on Road Network at Scale
Reflecting on the Five Years of Bug Bounty at Grab
How Grab is Blazing Through the Superapp Bazel Migration
Democratising Fare Storage at Scale Using Event Sourcing
Keeping 170 Libraries Up to Date on a Large Scale Android App
Optimally Scaling Kafka Consumer Applications
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Uncovering the Truth Behind Lua and Redis Data Consistency
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Go Modules- A Guide for monorepos (Part 1)
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Understanding Supply & Demand in Ride-hailing Through the Lens of Data
A Lean and Scalable Data Pipeline to Capture Large Scale Events and Support Experimentation Platform
Designing Resilient Systems: Circuit Breakers or Retries? (Part 2)
Querying Big Data in Real-time with Presto & Grab's TalariaDB
Designing Resilient Systems: Circuit Breakers or Retries? (Part 1)
Orchestrating Chaos Using Grab's Experimentation Platform
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Mockers - Overcoming Testing Challenges at Grab
Journey of a Tourist via Grab
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Grab Senior Data Scientist Liuqin Yang Wins Beale-Orchard-Hays Prize
Building Grab’s Experimentation Platform
Introducing Grab-Kit: Distributed Service Design at Grab
How Grab Experimented with Chat to Drive Down Booking Cancellations
Deep Dive into Database Timeouts in Rails
Dealing with the Meltdown Patch at Grab
GrabShare at the Intelligent Transportation Engineering Conference
Grabbing Growth: A Growth Hacking Story
The Data and Science Behind GrabShare Part I: Verifying Potential and Developing the Algorithm
The Art of Hiring Good Engineers
Migrating Existing Datastores
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Come and #hackallthethings at Grab
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DNS Resolution in Go and Cgo
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Round-robin in Distributed Systems
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