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.

Grab's services to tourists are an integral part of connecting tourists to various destinations and attractions. Do tourists travel on Grab to outlandishly fancy places like those you see in the movie "Crazy Rich Asians"? What are their favorite local places? Did you know that Grab's data reveals that medical tourism is growing in Singapore? Here are some exciting travel patterns that we found about our tourists' Grab rides in Singapore!

Reliable, scalable, and high performing solutions for common system level issues are essential for microservice success, and there is a Grab-wide initiative to provide those common solutions. As an important component of the initiative, we wrote a microservice called Quotas, a highly scalable API request rate limiting solution to mitigate the problems of service abuse and cascading service failures.

Grab Senior Data Scientist Dr. Liuqin Yang wins the 2018 Beale-Orchard-Hays Prize, the highest honor in Computational Mathematical Optimization. He has been recognised for his paper and the corresponding software SDPNAL+.

At Grab, we continuously strive to improve the user experience of our app for both our passengers and driver partners. To do that, we’re constantly experimenting, and in fact, many of the improvements we roll out to the Grab app are a direct result of successful experiments.