– Ensuring data consistency and security in transactions.
| Chapter | Topic | |---------|-------| | 1 | Proximity Service (Yelp, Uber Eats) | | 2 | Nearby Friends (real-time location) | | 3 | Google Maps | | 4 | Distributed Messaging Queue (Kafka-like) | | 5 | Distributed Metrics/Monitoring (Prometheus) | | 6 | Ad Click Aggregation (real-time analytics) | | 7 | Hotel Reservation (concurrency, race conditions) | | 8 | Distributed Locking (ZooKeeper/etcd/Redis) | | 9 | Payment System (idempotency, ledger) | | 10 | Cloud Storage (Dropbox/Google Drive) | system design interview alex xu volume 2 pdf github upd
: Summarize the design, mention trade-offs, and suggest potential future improvements. 3. Key Concepts to Master – Ensuring data consistency and security in transactions
: Distributed Message Queue, Metrics Monitoring, and S3-like Object Storage. Google Services : Google Maps and Distributed Email Service. Key Concepts to Master : Distributed Message Queue,