Discover how Grab is revolutionising data discovery with the power of AI and LLMs. Dive into our journey as we overcome challenges, build groundbreaking tools like HubbleIQ, and transform the way our employees find and access data. Get ready to be inspired by our innovative approach and learn how you can harness the potential of AI to unlock the full value of your organisation's data.| Grab Tech
Grab has embarked on a transformative journey to overhaul its enterprise data ecosystem, addressing challenges posed by the rapid growth of its business spanning across ride-hailing, food delivery, and financial services. With the increasing complexity of its data landscape, Grab transitioned from a centralised data warehouse model to a data mesh architecture, a decentralised approach treating data as a product owned by domain-specific teams. The article shares the motivations behind the chan...| Grab Tech
Grab's Engineering team solves critical transportation challenges and makes transport freedom a reality for 620 million people in Southeast Asia.| Grab Tech
Read to find out how Grab is using the Docs-as-Code approach to improve technical documentation.| Grab Tech
Introduction In this post, we outline how we transformed the way we serve data for our machine learning (ML) models and why we chose Amazon Aurora Postgres as the storage layer for our new feature store. At Grab, we have always been at the forefront of leveraging technology to enhance our services and provide the best possible experience for our platform users. This journey has led us to transition from a traditional approach to a more sophisticated and efficient ML feature store. Over the ye...| Grab Tech
When you're running 1000+ microservices across Southeast Asia's most complex transport and delivery platform, 'good enough' stops being good enough. Discover how Grab tackled the challenge of migrating from Consul to Istio across a hybrid infrastructure spanning AWS and GCP, separate AWS organizations, and diverse deployment models. This isn't your typical service mesh migration story. We share the real challenges of designing resilient architecture for massive scale, the unconventional decis...| Grab Tech
DispatchGym is a research framework that supports reinforcement learning (RL) studies for dispatch systems. A system that matches bookings with drivers. Designed to be efficient, cost-effective, and accessible, this article outlines its principles, research benefits, and real-world applications.| Grab Tech
As Grab matures along the digitalisation journey, it is collecting and streaming event data generated from the end users of its superapp on a larger magnitude than before. Coban, Grab’s data-streaming platform team, is looking to help unlock the value of streaming data at an earlier stage of the data journey before this data is typically stored in a central location (“Data Lake”). This allows Grab to serve its superapp users more efficiently.| Grab Tech
Supporting real-time data streaming enables our internal users to build intelligent applications and services, a crucial aspect of continuously out-serving our community. Read this article to understand our journey of building a real-time data streaming platform from pure Infrastructure-as-Code towards a more sophisticated control plane, and the benefits of this solution.| Grab Tech
Abstract The Integrity Data Platform (IDP) team decided to rewrite one of our heavy Queries Per Second (QPS) Golang microservices in Rust. It resulted in 70% infrastructure savings at a similar performance, but was not without its pitfalls. This article will elaborate on: How we picked what to rewrite in Rust. Approach taken to tackle the rewrite. The pitfalls and speed bumps along the way. Was it worthwhile? Introduction Grab is predominantly based on a microservice architecture, with the va...| Grab Tech
Introducing FlinkSQL interactive solution to enhance real-time stream processing exploration. The new system simplifies stream processing development, automates production workflows and democratises access to real-time insights. Read on about our journey that begun at addressing challenges encountered with the previous Zeppelin notebook-based solution to the current state of integration with and productionisation of FlinkSQL.| Grab Tech
Introduction Grab, Southeast Asia’s leading superapp, has created many internal applications to support its diverse range of internal and external business needs. Authentication1 and authorisation2 serve as fundamental components of application development, as robust identity and access management are essential for all systems. We recognised the need for a centralised internal system to manage access, authentication, and authorisation. This system would streamline access management, ensure ...| Grab Tech
Introduction In March 2023, I embarked on a mission to explore the potential of Large Language Models (LLMs) within Grab. What started off as an attempt to solve a specific problem—reducing the burden on our ML Platform team’s support channels, ended up becoming something much bigger. The creation of GrabGPT, an internal ChatGPT-like tool that has transformed how folks in Grab interact with AI. This is the story of how a failed experiment led to one of Grab’s most impactful internal too...| Grab Tech
Discover how the SOP-driven Large Language Model (LLM) agent framework is revolutionising Risk Operations (RiskOps) by automating Account Takeover (ATO) investigations. Explore the potential of this transformative tool to unlock unprecedented levels of productivity and innovation across industries.| Grab Tech
The SOP-driven Large Language Model (LLM) agent framework, revolutionises enterprise AI by integrating Standard Operating Procedures (SOPs) to ensure reliable execution and boost productivity. Achieving over 99.8% accuracy, it offers versatile automation tools and app development, making AI solutions 10 times faster. The framework addresses LLM challenges by structuring SOPs as a tree, enabling intuitive workflow creation. The framework aims to transform enterprise operations and explore indu...| Grab Tech
In this article, we'll discuss how we've streamlined the Docs-as-Code process for technical contributors, specifically engineers, who are already familiar with GitLab but might face challenges with Markdown. Discover how we plan to improve the workflow for non-engineering teams contributing to service and standalone documentation.| Grab Tech
Managing 4,000+ data pipelines demanded a smarter approach to stability. We built a comprehensive automation solution that enhances Hugo's monitoring capabilities, streamlines issue diagnosis, and significantly reduces on-call workload. Explore our architecture, implementation, and the impact of automated healing features.| Grab Tech
Discover how Grab revolutionised its Spark observability with StarRocks! We transformed our monitoring capabilities by moving from a fragmented system to a unified, high-performance platform. Learn about our journey from the initial Iris tool to a robust solution that tackles limitations with real-time and historical data analysis, all powered by StarRocks. Explore the architecture, data model, and advanced analytics that enable us to provide deeper insights and recommendations for optimising...| Grab Tech
Find out how Passkey makes logging in easier and safer by introducing passwordless authentication. Learn how this new feature works, the benefits it brings, and why it's a game-changer for your security and convenience. Dive in to see how Grab is making your app experience smoother and more secure.| Grab Tech
Discover how we revolutionised our product configuration management SDK, reducing initialisation time by up to 90%. Learn about the challenges we faced with cold starts and the phased approach we took to optimise the SDK's performance.| Grab Tech
Learn about GrabX, Grab’s central platform for product configuration management. This article discusses the steps taken to optimise the SDK, aiming to improve resource utilisation, reduce costs, and accelerate internal adoption.| Grab Tech
Vector similarity search has revolutionised data retrieval, particularly in the context of Retrieval-Augmented Generation in conjunction with advanced Large Language Models (LLMs). However, it sometimes falls short when dealing with complex or nuanced queries. In this post, we explore our experimentation with a simple yet effective approach to mitigate this shortcoming by combining the efficiency of vector similarity search with the contextual understanding of LLMs.| Grab Tech
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.| Grab Tech
Unleashing the potential of machine learning (ML) with Grab's Chimera Sandbox. This scalable platform facilitates rapid development and experimentation of ML solutions, offering deep integration with Large Language Models and a variety of compute instances. Discover how it's driving AI innovation at Grab.| Grab Tech
Dive into our journey of improving in-app translation experience amidst a post-COVID tourism boom. Discover how we overcame language detection hurdles, crafted an in-house translation model, and implemented stringent quality checks, all while maintaining cost efficiency.| Grab Tech
Discover how Grab assesses marketing effectiveness using advanced attribution models and strategic testing to improve campaign precision and impact.| Grab Tech
With cross-platform monitoring, a common problem is the difficulty in getting comprehensive and in-depth views on metrics, making it tough to see the big picture. Read to find out how the Data Tech team ideated Iris to turn observations into actionable insights for enhanced decision-making.| Grab Tech
Grab's data streaming infrastructure runs in the cloud across multiple Availability Zones for high availability and resilience, but this also incurs staggering network traffic cost. In this article, we describe how enabling our Kafka consumers to fetch from the closest replica helped significantly improve the cost efficiency of our design.| Grab Tech
