##### 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.

This question evaluates system architecture and distributed-systems competencies, including scalability, reliability, data modeling, event-driven messaging, observability, and capacity planning within the System Design domain.

How do I approach System Design interview questions?

System Design questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master system design interviews.

What difficulty level is this interview question?

This is a hard difficulty System Design question, commonly asked during Onsite rounds at TikTok.

What role is this question designed for?

This question is commonly asked for Software Engineer candidates at TikTok during technical interviews.

Explain Your System Architecture | TikTok Interview Question

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).
Traffic assumptions (DAU/MAU, sessions/day, requests/session, peak factor).
Data retention and compliance needs.

Deliverables

High-level architecture diagram (describe in words if you can’t draw).
Module-by-module walkthrough with the points above.
Capacity planning math (QPS, partitions, cache sizes) and key configuration choices.

Task

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.

Explain Your System Architecture

Quick Overview

System Design Interview: End-to-End Architecture Deep Dive

Task

For Each Module, Discuss

Constraints to State

Deliverables

Solution

Comments (0)

Explain Your System Architecture

Quick Overview

System Design Interview: End-to-End Architecture Deep Dive

Task

For Each Module, Discuss

Constraints to State

Deliverables

Solution

Comments (0)