Explain Your System Architecture evaluates requirements, scale assumptions, API/data design, architecture, trade-offs, failure modes, and rollout in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
##### Question
Explain the end-to-end architecture of a system you built. For each module discuss: how to speed up services, expected QPS, and how Kafka guarantees message delivery, among other considerations.
Quick Answer: Explain Your System Architecture evaluates requirements, scale assumptions, API/data design, architecture, trade-offs, failure modes, and rollout in a realistic interview setting. A strong answer states assumptions, handles edge cases, explains trade-offs, and shows how to validate the result clearly.
System Design Interview: End-to-End Architecture Deep Dive
Task
Explain the end-to-end architecture of a production system you built or can credibly design. Use a concrete example (e.g., real-time personalized feed, event ingestion pipeline, payments, notifications). Cover the full request and data lifecycle: clients, APIs, services, storage, async infrastructure, and observability.
For Each Module, Discuss
Purpose and responsibilities.
How to speed up the service (latency, throughput, resource efficiency).
Expected QPS/EPS with back-of-the-envelope estimates and assumptions.
Data model, partitioning/sharding, and cache strategy.
Failure modes, backpressure, and fallback behavior.
If Kafka (or a similar log) is involved:
Producer, broker, and consumer configuration.
Delivery guarantees (at-most-once, at-least-once, exactly-once) and how they are achieved.
Idempotency, retries, reprocessing, DLQs, and schema evolution.
Constraints to State
Latency SLOs (e.g., p95 100 ms for reads; p99 for critical paths).