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Solution architecture

Documentation & governance

Keeping the architecture understandable, and decisions traceable, long after go-live

Architecture documentation

C4 model

Hierarchical approach to architecture diagrams with four levels of detail:

Zooming in with the C4 model

Customer[Person]
Contoso Ordering[Software system]
ERP[External system]
Email[External system]

System in context with users and external dependencies. Shows what the system does and who uses it. Non-technical stakeholders can understand this view.

Each level zooms into one element of the level above, so a board member and a developer look at the same system at the depth that suits them.

Architecture decision records (ADRs)

Document significant architecture decisions with context, decision, and consequences:

# ADR 001: Use Azure Cosmos DB for the product catalog

**Status:** Accepted
**Date:** 2024-01-15
**Deciders:** Architecture team

## Context
The product catalog needs a globally distributed, low-latency data store.
Read volume will be high; eventual consistency is acceptable.

## Decision
Use Azure Cosmos DB with multi-region writes.

## Consequences
+ Global distribution with single-digit-millisecond reads
+ Autoscale to absorb traffic spikes
+ Several consistency levels to choose from
- Higher cost than Azure SQL Database
- The team needs to learn Cosmos DB query patterns

Architecture governance

Architecture review board

Establish governance for architecture decisions:

  • Regular reviews: Quarterly architecture reviews for major initiatives
  • Peer review: Architecture designs reviewed by senior engineers
  • Standards enforcement: Automated checks for security, compliance, naming conventions
  • Technology radar: Track approved, trial, and deprecated technologies
  • Reference implementations: Sample projects demonstrating patterns

Technical debt management

  • Debt register: Catalog known technical debt with priority and effort estimates
  • Allocation: Dedicate 20% of sprint capacity to debt reduction
  • Metrics: Track code coverage, cyclomatic complexity, dependency health
  • Refactoring: Continuous incremental improvements vs. big rewrites

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