For the longest time, security has been at the center of our priorities. There’s nothing more self-evident about the trust our millions of driving partners and consumers put in Grab. We strive every day to build the best tools available to ensure their data stays secure.

Caching is arguably the most important and widely used technique in computer industry, from CPU to Facebook live videos, cache is everywhere.

Grab is Southeast Asia (SEA)’s leading transportation platform and our mission is to drive SEA forward, leveraging on the latest technology and the talented people we have in the company. As of May 2017, we handle 2.3 million rides daily and we are growing and hiring at a rapid scale. To keep up with Grab’s phenomenal growth, our web team and web platforms have to grow as well. Fortunately, or unfortunately, at Grab, the web team has been keeping up with the latest best practices and has incorporated the modern JavaScript ecosystem in our web apps.

This article is part two of a two-part series. In this article, we will talk about RFC 6724 (3484), how DNS resolution works in Go and Cgo, and finally explaining why disabling IPv6 also disables the sorting of IP Addresses.

My name is Arul Kumaravel, VP of Engineering at Grab. Grab's mission is to drive Southeast Asia (SEA) forwards. Today I would like to share with you how AWS is helping us with this mission.

How do you work within a startup team and build a quick idea into a key feature for an app that impacts millions of people? It's one of those things that is hard to understand when you just graduate as an engineer.

This article is part one of a two-part series. In this article we explain the ELB 5XX errors which we experience without an apparent reason. We walk you through our investigative process and show you our immediate solution to this production issue. In the second article, we will explain why the non-intuitive immediate solution works and how we eventually found a more permanent solution.

A year ago, the data volumes at Grab were much lower than the volume we currently use for data-driven analytics. We had a simple and robust infrastructure in place to gather, process and store data to be consumed by numerous downstream applications, while supporting the requirements for data science and analytics.