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Engineering · Data AnalyticsBuilding a Spark observability product with StarRocks: Real-time and historical performance analysis
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 Spark jobs at Grab.
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EngineeringTechDocs at Grab: Cultivating a culture of quality documentation
Discover the steps taken in building a strong documentation culture that produces high-quality content, while making the tools easy to use for everyone involved in Grab.
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Engineering · Data ScienceGrab AI Gateway: Connecting Grabbers to multiple GenAI providers
GenAI has become integral to innovation, powering the next generation of AI enabled applications. With easy integration with multiple AI providers, it brings cutting edge technology to every user. This article explores why we need GenAI Gateway, how it works, what are the user benefits, and the challenges faced in GenAI in this article.
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Engineering · SecurityEmbracing passwordless authentication with Grab’s Passkey
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.
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Engineering · ProductTurbocharging GrabUnlimited with Temporal
Discover how Grab tackled the challenges of scaling its flagship membership program, GrabUnlimited. In this deep dive, we explore the migration from a legacy system to Temporal, reducing production incidents by 80%, improving scalability, and transforming the architecture for millions of users.
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Engineering · Data ScienceHow we seamlessly migrated high volume real-time streaming traffic from one service to another with zero data loss and duplication
In the world of high-volume data processing, migrating services without disruption is a formidable challenge. At Grab, we recently undertook this task by splitting one of our backend service's stream read and write functionalities into two separate services. Discover how we conducted this transition with zero data loss and duplication using a simple switchover strategy, along with rigorous validation mechanisms.
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Engineering · Data ScienceSupercharging LLM application development with LLM-Kit
Discover how Grab's LLM-Kit enhances AI app development by addressing scalability, security, and integration challenges. This article discusses the challenges faced in LLM app building, the solution, the architecture of the LLM-Kit as well as the future plans of the LLM-Kit.
Engineering
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Data Analytics
Improving Hugo stability and addressing oncall challenges through automation
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.
