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EngineeringDesigning Resilient Systems Beyond Retries (Part 1): Rate-Limiting
This post is the first of a three-part series on going beyond retries to improve system resiliency. In this series, we will discuss other techniques and architectures that can be used as part of a strategy to improve resiliency. To start off the series, we will cover rate-limiting.
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EngineeringContext Deadlines and How to Set Them
This blog post explains from the ground up a strategy for configuring timeouts and using context deadlines correctly, drawing from our experience developing microservices in a large scale and often turbulent network environment.
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Data Science · Engineering · Product · DesignRecipe for Building a Widget: How We Helped to “Peak-Shift” Demand by Helping Passengers Understand Travel Trends
We help to “peak-shift” demand by helping passengers understand travel trends with Grab’s data. Curious to know how we empower our passengers to make better travel decisions? Read on!
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EngineeringStructured Logging: The Best Friend You’ll Want When Things Go Wrong
This blog post describes how we built a structured logging framework that integrates well with our existing Elastic stack-based logging backend, allowing us to do logging better and more efficiently.
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EngineeringHow We Simplified Our Data Ingestion & Transformation Process
This blog post describes how Grab built a scalable data ingestion system and how we went from prototyping with Spark Streaming to running a production-grade data processing cluster written in Golang.
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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.