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Design a global real-time notification system

Last updated: Mar 29, 2026

Quick Overview

This question evaluates competency in designing large-scale distributed systems for global real-time notifications, covering scalability, multi-region ingestion and delivery, multi-channel fallback (push, email, SMS), delivery semantics, idempotency/deduplication, latency/throughput SLAs, and observability.

  • medium
  • Google
  • System Design
  • Software Engineer

Design a global real-time notification system

Company: Google

Role: Software Engineer

Category: System Design

Difficulty: medium

Interview Round: Onsite

## Problem Design a **global, real-time notification system** that can deliver messages via: - Mobile/Web push - Email - SMS The system supports **100M+ users** and must provide **multi-channel fallback** (e.g., try push, then email/SMS if not delivered). ## Requirements to clarify - Message types: transactional vs marketing; priority classes - Latency SLA (p50/p99), throughput, burstiness - Delivery semantics: at-most-once vs at-least-once; user-visible deduplication - User preferences: opt-in/out, quiet hours, locale, templates - Idempotency: retries without duplicate user notifications - Global: multi-region ingestion and delivery ## Expected output Propose the architecture, data model, and pipelines for: - ingestion → fan-out → per-channel delivery - retry policies + DLQ - dedup/idempotency strategy - observability and experimentation (gradual rollout/A-B)

Quick Answer: This question evaluates competency in designing large-scale distributed systems for global real-time notifications, covering scalability, multi-region ingestion and delivery, multi-channel fallback (push, email, SMS), delivery semantics, idempotency/deduplication, latency/throughput SLAs, and observability.

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Google
Jan 12, 2026, 12:00 AM
Software Engineer
Onsite
System Design
10
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Problem

Design a global, real-time notification system that can deliver messages via:

  • Mobile/Web push
  • Email
  • SMS

The system supports 100M+ users and must provide multi-channel fallback (e.g., try push, then email/SMS if not delivered).

Requirements to clarify

  • Message types: transactional vs marketing; priority classes
  • Latency SLA (p50/p99), throughput, burstiness
  • Delivery semantics: at-most-once vs at-least-once; user-visible deduplication
  • User preferences: opt-in/out, quiet hours, locale, templates
  • Idempotency: retries without duplicate user notifications
  • Global: multi-region ingestion and delivery

Expected output

Propose the architecture, data model, and pipelines for:

  • ingestion → fan-out → per-channel delivery
  • retry policies + DLQ
  • dedup/idempotency strategy
  • observability and experimentation (gradual rollout/A-B)

Solution

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