System Design & Distributed Systems
Design and architect resilient, high-throughput distributed systems: consensus algorithms, consistent hashing, caching, rate limiters, partition strategies, and microsecond telemetry.
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1 · Foundations & Scalability
Horizontal scaling, back-of-the-envelope estimation, latency numbers and availability math.
2 · Distributed Core & Consensus
CAP/PACELC theorems, quorum slices, linearizability, and Raft/Paxos consensus.
3 · Partitioning & Data Stores
Consistent hashing, virtual nodes, LSM-trees vs B-Trees, replication and write-ahead logs.
4 · Performance & Fault Tolerance
Distributed caching, cache stampedes, token-bucket rate limiters, circuit breakers and idempotency.
5 · Real-World Architectures
Event-driven pipelines, CQRS/Saga patterns, microsecond order books and large-scale case studies.
- 10m · 3 MCQs8. Asynchronous Messaging, Queues & Event StreamingPoint-to-point queues, publish-subscribe topics, Kafka log partitioning, and consumer groups.
- 10m · 3 MCQs9. Saga Pattern & Distributed TransactionsTwo-Phase Commit (2PC), Choreography vs Orchestration Sagas, and compensating transactions.
- 12m · 3 MCQs10. Designing a Real-World Scalable System: Live Case StudyHigh-throughput URL shortener, distributed newsfeed generation, and real-time payment gateways.
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