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Design globally consistent metadata service

Last updated: Mar 29, 2026

Quick Overview

This question evaluates expertise in distributed systems and system design, focusing on linearizable consistency, multi-region replication and partitioning, low-latency reads, failure handling, degradation strategies, and operational rollback for a global-scale metadata service, and is categorized under System Design.

  • medium
  • Amazon
  • System Design
  • Software Engineer

Design globally consistent metadata service

Company: Amazon

Role: Software Engineer

Category: System Design

Difficulty: medium

Interview Round: Onsite

## System Design Prompt Design a **global-scale metadata service** used by many internal products. ### Goals / Requirements - **Writes must be strictly consistent** (treat as *linearizable* writes; no conflicting updates). - **Reads must be low latency** for clients across multiple regions. - Global deployment (multi-region). Assume high QPS and large metadata cardinality. ### What to cover - Data model and API surface (e.g., `Get/Put/List/Watch`, versioning). - Replication and consistency approach; explicitly justify **why not eventual consistency**. - How you handle **network partitions** and **region-level outages**. - **Degradation strategy** under failures (what continues to work, what becomes read-only, etc.). - A **rollback / recovery** approach for bad writes (operator error, buggy deployment). ### Constraints (you may assume) - Metadata items are typically small (KBs), but the keyspace is large. - Clients are latency-sensitive on reads; writes are less frequent but correctness-critical. - You may partition by tenant and/or key.

Quick Answer: This question evaluates expertise in distributed systems and system design, focusing on linearizable consistency, multi-region replication and partitioning, low-latency reads, failure handling, degradation strategies, and operational rollback for a global-scale metadata service, and is categorized under System Design.

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Amazon
Jan 6, 2026, 12:00 AM
Software Engineer
Onsite
System Design
3
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System Design Prompt

Design a global-scale metadata service used by many internal products.

Goals / Requirements

  • Writes must be strictly consistent (treat as linearizable writes; no conflicting updates).
  • Reads must be low latency for clients across multiple regions.
  • Global deployment (multi-region). Assume high QPS and large metadata cardinality.

What to cover

  • Data model and API surface (e.g., Get/Put/List/Watch , versioning).
  • Replication and consistency approach; explicitly justify why not eventual consistency .
  • How you handle network partitions and region-level outages .
  • Degradation strategy under failures (what continues to work, what becomes read-only, etc.).
  • A rollback / recovery approach for bad writes (operator error, buggy deployment).

Constraints (you may assume)

  • Metadata items are typically small (KBs), but the keyspace is large.
  • Clients are latency-sensitive on reads; writes are less frequent but correctness-critical.
  • You may partition by tenant and/or key.

Solution

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