---
title: "Module 4 - Evolutionary Architecture"
weight: 4
summary: "Outcome-driven architecture, fitness functions, and continuous evolution."
---

# Module 4 - Evolutionary Architecture

**Outcome-driven design, fitness evaluation, and architectural health.**

## Overview

This module teaches how to use Sruja for evolutionary architecture—designing systems that can adapt to changing requirements while maintaining architectural integrity.

## Lessons

### Lesson 1: [Fitness Functions & Health Metrics](lesson-1.md)
_How to define and measure architectural fitness_

- What are fitness functions
- Defining outcome-driven requirements
- Health metrics dashboard
- Automated fitness evaluation

### Lesson 2: [Architectural Health Scoring](lesson-2.md)
_Quantifying system health over time_

- Health score components
- Trend analysis
- Threshold configuration
- Reporting patterns

### Lesson 3: [Continuous Evolution Workflow](lesson-3.md)
_Integrating evolution into development workflow_

- Maturation phases (Instrumentation → Context Hints → Infra Discovery)
- Evolution command and reporting
- Drift detection and resolution
- Autonomous optimization loops

## Learning Outcomes

- ✅ Define fitness functions for architectural outcomes
- ✅ Configure and interpret health metrics
- ✅ Use Sruja evolution commands
- ✅ Implement continuous architectural health monitoring

## Prerequisites

- Completed Production Architecture Modules 1-3
- Familiarity with Sruja validation and policies
- Understanding of observability concepts

## Estimated Time

2-3 hours

---

## Raw Thoughts from Analysis

### v0.42.0 Features to Cover
- `sruja intent history` - outcome-driven evolutionary architectures
- `sruja health` / health status dashboard
- fitness evaluation
- enterprise graph health metrics

### Related Concepts
- Outcome-driven architecture
- Architectural fitness functions
- Health metrics aggregation
- Evolutionary vs traditional architecture
- Sruja maturation phases (Instrumentation, Context Hints, Infra Discovery)

### Lesson Ideas

1. **Fitness Functions & Health Metrics**
   - Define fitness function: `fitness(cpu_utilization < 80%, availability > 99.9%, latency_p99 < 200ms)`
   - Show how to express these in Sruja
   - Demo health scoring dashboard
   - Hands-on: Define fitness for a sample system

2. **Architectural Health Scoring**
   - Graph health metrics from v0.42.0
   - Community detection (from v0.41.0)
   - Threshold configuration
   - Health trend visualization

3. **Continuous Evolution**
   - Sruja maturation phases workflow
   - Using `sruja intent history` command
   - Drift detection and `--fix`
   - Autonomous optimization loop pattern (from agentic memory)