Have you ever wondered how to build a system architecture to support an application like Uber? Here are some clues.

1. UBER, LYFT, CABIFY

2. - S2 Library (Spatial Indexing)
- Efficient query operations for
finding nearby objects,
measuring distances,
computing centroids, etc.
- Kafka
- DISCO (Dispatch Optimization)
- Distribute the work in different
servers using a hashing system
- GPS is essential for the system to
work

3. - Break the World Map into pieces
- Divide Workloads into Services.
- Easier to calculate ETA.
- Match Supply and Demand in the area.

5. - Know what servers handles each
location requests, and how to reshard
when necessary using hashing.
- Demand Service ask Supply Service by
Location ID (s2)
- Supply Service find the cab.
- Request is placed to cab by oder.
- After a time-out try another cab.
- If it a match notify the user.

6. - Terraform
- Docker
- Mesos
- Regions
- Kafka - Hadoop

7. - Calculate ETA (pickup, destiny)
- Calculate different options to find the best.

13. - Tech Dummies
- Success in Tech
- Quora Thread
- Pratik Jain
- Uber Engineering Blog