Tutorials System Design Tutorial
Uber Architecture Case Study — Complete Guide
Uber Architecture Case Study — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of System Design Tutorial on Toolliyo Academy.
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System Design Tutorial · Lesson 93 of 100
Uber Architecture Case Study
Basics ✓ → Scale ✓ → Interview
Interview · 3 — Case studies · ~10 min · Module 10: Real-World System Design Projects
What is this?
Uber-style systems stress geo indexing, matching, real-time location updates, and surge pricing under spiky demand.
Why should you care?
ShopNest delivery ETA and rider/driver-like courier matching share geo and real-time lessons.
See it live — copy this example
Sketch the architecture on paper. These lessons focus on concepts and trade-offs.
Geo index: city grid / geohash for nearby couriers
Streaming location updates
Matching service with tight SLAs
Surge: demand signal → pricing service
Lesson: partition by city/region early
Run Example »
This lesson uses terminal or setup steps. Run commands on your computer — the live editor appears on coding lessons.
What happened?
- Spatial indexes find nearby supply.
- Streams update locations.
- Partitioning by city keeps matching local and faster.
Practice next
- Sketch ShopNest courier lookup by geohash.
- Partition matching by city.
- Define ETA as a separate read model.
- Cache nearby couriers for a few seconds.
- Simulate city-level demand spikes.
Remember
Geo indexes + local partitions. Real-time streams. ETA decoupled from pay.
City-partitioned delivery
ShopNest matches couriers inside city shards.
Outcome: ETAs stay fast during dinner rush.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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