​Uber's Tech Stack: What Every Engineer Needs to Know. |

Описание: This video provides a concise overview of the Uber system's architecture, which is designed to manage the high demand and supply coordination for millions of rides daily. This topic appeals strongly to software engineers, system design enthusiasts, and anyone preparing for technical interviews.


Ever wondered how Uber's system handles millions of ride requests and matches them with available drivers in real-time? This video breaks down the high-level system architecture of Uber.
We explore the key components that manage the massive scale of demand and supply:
The Client Interface: The Uber app (Demand/User and Supply/Cab) interacting with the backend.
Request Flow: The use of a Load Balancer and Web Application Firewall (WAF) to manage traffic, directing requests through Web Sockets (for real-time updates) and HTTP REST APIs.
Data Systems: The role of SQL and NoSQL databases for storing different types of data.
The Matching Engine: The complex regional architecture (Region 1 to N) that separates Demand and Supply to ensure fast and accurate ride matching.
Real-Time Data Processing: The critical use of Kafka for streaming data, which feeds into systems like Hadoop, Map Reduce (MR), and specialized fraud detection (MC FRAUD) and Estimated Time of Arrival (ETA) services.
Understanding this architecture is essential for anyone interested in large-scale system design or preparing for technical interviews. Watch the video to see the full component breakdown!


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