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Data ScienceUnderstanding Supply & Demand in Ride-hailing Through the Lens of Data
Grab aims to ensure that our passengers can get a ride conveniently while providing our drivers better livelihood. To achieve this, balancing demand and supply is crucial. This article gives you a glimpse of one of our analytics initiatives - how to measure the supply and demand ratio at any given area and time.
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EngineeringA Lean and Scalable Data Pipeline to Capture Large Scale Events and Support Experimentation Platform
This blog post focuses on the lessons we learned while building our batch data pipeline.
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EngineeringDesigning Resilient Systems: Circuit Breakers or Retries? (Part 2)
Grab designs fault-tolerant systems that can withstand failures allowing us to continuously provide our consumers with the many services they expect from us.
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EngineeringQuerying Big Data in Real-time with Presto & Grab's TalariaDB
In this article, we focus on TalariaDB, a distributed, highly available, and low latency time-series database that stores real-time data. For example, logs, metrics, and click streams generated by mobile apps and backend services that use Grab's Experimentation Platform SDK. It "stalks" the real-time data feed and only keeps the last one hour of data.
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EngineeringDesigning Resilient Systems: Circuit Breakers or Retries? (Part 1)
Grab designs fault-tolerant systems that can withstand failures allowing us to continuously provide our consumers with the many services they expect from us.
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EngineeringOrchestrating Chaos Using Grab's Experimentation Platform
At Grab, we practice chaos engineering by intentionally introducing failures in a service or component in the overall business flow. But the failed’ service is not the experiment’s focus. We’re interested in testing the services dependent on that failed service.
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EngineeringReliable and Scalable Feature Toggles and A/B Testing SDK at Grab
Grab’s feature toggle SDK provides a dynamic feature toggle capability to our engineering, data, product, and even business teams. Feature toggles also let teams modify system behaviour without changing code. Developers use the feature flags to keep new features hidden until product and marketing teams are ready to share and to run experiments (A/B tests) by dynamically changing feature toggles for specific users, rides, etc.
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EngineeringMockers - Overcoming Testing Challenges at Grab
Sustaining quality in fast paced development is a challenge. At Grab, we use Mockers - a tool to expand the scope of local box testing. It helps us overcome testing challenges in a microservice architecture.
