How does Uber build a high-QPS service based on the go language?

At the beginning of 2015, we built a micro-service that only did one thing (and did very well)-find the geo-fence (geofence lookup). A year later, the service has become the highest number of queries per second (QPS) service in Uber's hundreds of running services. Next, this article will talk about why we built this service and how we can use the go language to quickly build and extend this service. Background

At Uber, a geo-fence represents a human-made geographic area on the Earth's surface. In addition, to invite love, we further use the concept of geo-fencing in geo-based configurations. The concept of geo-fencing plays an important role in many places-when you show users what products are available in a location, when defining special-purpose areas such as airports, and when many people call for dynamic pricing at the same time.

Original link: http://www.12-23.com/a/zhangzishi/ITdanakecheng/2016/0412/8019.html

How does Uber build a high-QPS service based on the go language?