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Single Source of Truth

Designates one authoritative representation for a fact within a defined scope

Software design principle

Why learn Single Source of Truth?

It prevents competing copies from diverging

The problem it solves

It gives consumers a clear place to resolve the current accepted value

Where it came from

Single Source of Truth is a software design principle that designates one authoritative representation for a fact within a defined scope. Its guarantees and tradeoffs depend on the concrete implementation and operating context.

Build your understanding

Work through these exercises in order. Try the task before opening a reference.

  1. Define Single Source of Truth and distinguish it from a neighboring concept.
  2. Choose a realistic task where Single Source of Truth is appropriate.
  3. Identify a failure mode caused by misusing Single Source of Truth.
  4. Interpret a small design or result involving Single Source of Truth.
  5. Explain one tradeoff or limitation of Single Source of Truth.

Documentation and sources

Connect the ideas

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Real World Example

Illustrative business scenario · AI-generated from linked documentation · Not a measured customer case study

Unified Global Inventory Registry

A multinational retail logistics firm managing regional warehouses.

The business problem

Discrepancies between regional databases caused stock-outs and redundant procurement because no single system held the authoritative count for high-value assets.

How this topic solves it

Implementing a Single Source of Truth (SSOT) pattern where a centralized registry service acts as the exclusive authoritative representation for item availability, forcing all regional systems to read from and write to this central node rather than maintaining local state.

  1. Identify the canonical data entity representing the physical asset state.
  2. Deprecate local write permissions in regional databases to prevent data divergence.
  3. Expose a centralized API layer that enforces validation rules before updating the master registry.
  4. Implement a read-through cache strategy to maintain performance without sacrificing the authoritative nature of the registry.
SSOT Inventory Architecture · Entity relationships

This diagram illustrates the flow from regional requests to the authoritative registry.

Regional System

Read-only client

Registry API

Validation and Auth

Master Registry

Authoritative state

Audit Log

Immutable history

  • Regional System → 1:n requests → Registry API
  • Registry API → 1:1 updates → Master Registry
  • Master Registry → 1:n records → Audit Log

Expected business outcome

Consistent inventory visibility across all regions, eliminating conflicting reports and enabling reliable automated replenishment.

Limitations and checks

The centralized registry introduces a potential latency bottleneck and a single point of failure; monitoring can be performed by tracking the request-to-response time latency metrics of the registry API.

Sources

Generated 2026-10-18 with gemini-3.1-flash-lite. Your assessment includes two questions about this example.

Catalog source: technology-maxxing. This page reproduces the existing catalog’s learning material and source links.