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---
name: playbook-backend-engineering-distributed-truth
description: "Consistency models chosen by harm math with multi-region topology that survives evacuation."
---
# Playbook: Design distributed truth carefully
> Consistency models chosen by harm math with multi-region topology that survives evacuation.
**Track:** 🗺️ Backend Engineering · **Domain:** Journey Playbooks · **Level:** journey · **~95 min**
**Who this is for:** Backend Engineers, API Developers, Platform Engineers, Full-Stack Developers
## When to Use This Skill
Consistency models chosen by harm math with multi-region topology that survives evacuation.
Use it whenever a matching task appears in conversation — the agent loads these instructions on demand.
## Journey Steps
1. Step 1 — Choose consistency models per data class deliberately: start with "List data classes with concrete stale-read harm examples in money terms"
2. Step 2 — Design multi-region data topologies honestly: start with "Map residency requirements per dataset BEFORE topology; law constrains design"
3. How it fits together: Write down what staleness costs per data class before picking any default.
### Referenced Skills
- `distributed-systems-consistency-model-selection`
- `distributed-systems-multi-region-data-topology`
## Commands
**Install all referenced skills**
```bash
npx skills add aniruddhaadak80/skills --skill distributed-systems-consistency-model-selection && npx skills add aniruddhaadak80/skills --skill distributed-systems-multi-region-data-topology
```
---
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