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Architecture Planning

Learn how to design robust, scalable system architectures using AI assistance and proven patterns. This module covers everything from high-level system design to detailed component specifications.

Learning Objectives

After completing this module, you will be able to:

Design System Architecture - Create comprehensive architectural blueprints
Make Technology Decisions - Choose appropriate technologies with clear rationale
Plan for Scalability - Design systems that can grow with business needs
Document Architecture - Create clear, maintainable architectural documentation
Use AI for Design - Leverage AI tools to accelerate architecture planning

Architecture Planning Process

Step 1: Requirements Analysis

Transform business requirements into technical constraints

Requirements to Architecture Mapping:

Requirement TypeArchitecture ImpactDesign Considerations
High User VolumeLoad balancing, caching, horizontal scalingCDN, database replicas, stateless services
Real-time FeaturesEvent-driven architecture, WebSocketsMessage queues, event sourcing, push notifications
Complex Business LogicDomain-driven design, service separationClear service boundaries, API design
Regulatory ComplianceAudit trails, data protection, access controlsEncryption, logging, role-based access

Step 2: Architecture Patterns Selection

Choose appropriate patterns based on your requirements:

Pattern Selection Guide:

PatternBest ForComplexityTeam SizeScalability
MonolithicMVPs, simple apps, small teamsLow1-5 devsVertical only
MicroservicesComplex domains, large teamsHigh10+ devsHorizontal
Event-DrivenReal-time systems, high throughputMedium5-15 devsHorizontal
ServerlessVariable workloads, rapid scalingMedium3-8 devsAuto-scaling

Step 3: Technology Stack Decisions

Make informed technology choices using decision matrices:

Frontend Technology Decision Example

# Frontend Framework Decision Matrix

## Requirements
- Team has React experience
- Need mobile-responsive design
- SEO important for marketing pages
- Real-time updates required

## Options Evaluation
| Criteria | Weight | Next.js | Nuxt.js | SvelteKit | Angular |
|----------|--------|---------|---------|-----------|---------|
| Team Expertise | 5 | 5 | 2 | 2 | 3 |
| SEO Support | 4 | 5 | 5 | 4 | 3 |
| Real-time Features | 3 | 4 | 4 | 4 | 4 |
| Community/Ecosystem | 3 | 5 | 4 | 3 | 4 |
| Performance | 3 | 4 | 4 | 5 | 4 |
| Learning Curve | 2 | 4 | 3 | 3 | 2 |

## Final Scores
- **Next.js: 4.5** ← Recommended
- Nuxt.js: 3.5
- SvelteKit: 3.4
- Angular: 3.2

Step 4: Component Design

Break down your system into logical components:

Component Responsibility Matrix:

ComponentPrimary ResponsibilityDependenciesScalability Strategy
API GatewayRequest routing, auth, rate limitingAuth serviceHorizontal scaling
User ServiceUser management, authenticationDatabase, cacheHorizontal scaling
Project ServiceProject CRUD, business logicDatabase, cache, user serviceHorizontal scaling
Notification ServiceEmail, push, in-app notificationsQueue system, external APIsQueue-based scaling
File ServiceFile upload, storage, CDNObject storageCDN + horizontal scaling

AI-Assisted Architecture Planning

Architecture Generation Prompts

System Architecture Prompt:

I need to design a system architecture for a [PROJECT TYPE] with these requirements:

FUNCTIONAL REQUIREMENTS:
- [List key features]
- [Expected user workflows]
- [Integration needs]

NON-FUNCTIONAL REQUIREMENTS:
- Expected users: [NUMBER]
- Performance: [REQUIREMENTS]
- Security: [REQUIREMENTS]
- Compliance: [REQUIREMENTS]

CONSTRAINTS:
- Team size: [NUMBER] developers
- Timeline: [DURATION]
- Budget: [CONSIDERATIONS]
- Technology preferences: [LIST]

Please provide:
1. High-level system architecture with components
2. Technology stack recommendations with rationale
3. Deployment architecture
4. Scalability plan
5. Security considerations
6. Mermaid diagrams for visual documentation

Focus on maintainable, proven patterns rather than cutting-edge technology.

Component Design Prompt:

Design the internal architecture for a [COMPONENT NAME] with these responsibilities:
- [PRIMARY FUNCTIONS]
- [KEY INTERACTIONS]
- [PERFORMANCE REQUIREMENTS]

Please provide:
1. Component internal structure
2. Interface definitions (APIs)
3. Data models and relationships
4. Error handling strategy
5. Testing approach
6. Deployment considerations

Use [TECHNOLOGY STACK] and follow [ARCHITECTURE PATTERN] patterns.

Architecture Review Prompts

Design Validation Prompt:

Review this system architecture for potential issues:

ARCHITECTURE:
[PASTE YOUR ARCHITECTURE DESCRIPTION]

REQUIREMENTS:
[PASTE REQUIREMENTS]

Please analyze:
1. Scalability bottlenecks
2. Single points of failure
3. Security vulnerabilities
4. Maintenance complexity
5. Cost implications
6. Alternative approaches

Provide specific recommendations for improvement.

Practical Architecture Examples

Example 1: E-commerce Platform

Requirements:

  • 100K+ users, high availability required
  • Real-time inventory updates
  • Payment processing integration
  • Mobile and web interfaces

Architecture Solution:

Key Decisions:

  • Microservices for independent scaling of catalog vs. cart vs. orders
  • Redis for cart state - fast, temporary data perfect for session storage
  • Elasticsearch for search - optimized for product discovery
  • Separate payment service - security isolation and PCI compliance

Example 2: SaaS Dashboard Application

Requirements:

  • Multi-tenant architecture
  • Real-time analytics and reporting
  • Role-based access control
  • API for third-party integrations

Architecture Solution:

Key Decisions:

  • TimescaleDB for analytics - Time-series optimized for dashboard queries
  • Message queue for integrations - Handles variable load from external APIs
  • Separate auth service - Multi-tenant security with role management
  • ETL pipeline - Processes and aggregates data for reporting

Architecture Documentation Templates

System Architecture Document Template

# System Architecture Document

## Executive Summary
- **Project**: [PROJECT NAME]
- **Architecture Pattern**: [PATTERN CHOSEN]
- **Key Technologies**: [MAIN TECH STACK]
- **Deployment Model**: [CLOUD/ON-PREM/HYBRID]

## Business Context
- **Requirements Summary**: [KEY REQUIREMENTS]
- **Success Criteria**: [HOW SUCCESS IS MEASURED]
- **Constraints**: [TECHNICAL/BUSINESS/REGULATORY]

## Architecture Overview

### High-Level Architecture
```mermaid
[SYSTEM OVERVIEW DIAGRAM]

Component Responsibilities

ComponentPurposeTechnologyScaling Strategy

Technology Decisions

Decision Matrix

Technology AreaOptions ConsideredDecisionRationale
Frontend
Backend
Database
Deployment

Architecture Trade-offs

DecisionBenefitsCostsMitigation

Quality Attributes

Performance

  • Response Time: [TARGET]
  • Throughput: [TARGET]
  • Scalability: [STRATEGY]

Security

  • Authentication: [MECHANISM]
  • Authorization: [RBAC/ABAC]
  • Data Protection: [ENCRYPTION/PRIVACY]

Reliability

  • Availability: [TARGET %]
  • Disaster Recovery: [RTO/RPO]
  • Monitoring: [STRATEGY]

Deployment Architecture

Infrastructure Requirements

  • Compute: [REQUIREMENTS]
  • Storage: [REQUIREMENTS]
  • Network: [REQUIREMENTS]

Environments

  • Development: [SETUP]
  • Staging: [SETUP]
  • Production: [SETUP]

Future Considerations

  • Growth Plans: [HOW ARCHITECTURE WILL EVOLVE]
  • Technology Roadmap: [PLANNED UPGRADES]
  • Risk Mitigation: [KNOWN RISKS AND PLANS]

## Common Architecture Patterns

### API-First Architecture
**When to Use:** Multi-platform applications, third-party integrations
**Benefits:** Flexibility, reusability, independent development
**Challenges:** API versioning, performance overhead, complexity

```mermaid
graph LR
subgraph "Clients"
WEB[Web App]
MOBILE[Mobile App]
PARTNER[Partner API]
end

subgraph "API Layer"
GATEWAY[API Gateway]
AUTH[Authentication]
DOCS[API Documentation]
end

subgraph "Services"
SERVICE1[Service A]
SERVICE2[Service B]
SERVICE3[Service C]
end

WEB --> GATEWAY
MOBILE --> GATEWAY
PARTNER --> GATEWAY

GATEWAY --> AUTH
AUTH --> SERVICE1
AUTH --> SERVICE2
AUTH --> SERVICE3

Event-Driven Architecture

When to Use: Real-time systems, loose coupling, scalable processing Benefits: Scalability, resilience, flexibility Challenges: Complexity, debugging, eventual consistency

Layered Architecture

When to Use: Traditional business applications, clear separation of concerns Benefits: Maintainability, testability, team organization Challenges: Performance, rigid structure, cross-cutting concerns

Architecture Review Checklist

Scalability Review

  • Horizontal Scaling: Components can scale independently
  • Database Scaling: Read replicas, sharding, or partitioning planned
  • Caching Strategy: Appropriate caching at multiple levels
  • Load Distribution: Load balancing and traffic management
  • Resource Optimization: Efficient use of compute and storage

Security Review

  • Authentication: Secure user verification mechanism
  • Authorization: Role-based access control implemented
  • Data Protection: Encryption in transit and at rest
  • Input Validation: All user inputs validated and sanitized
  • Security Boundaries: Trust zones clearly defined

Reliability Review

  • Fault Tolerance: System handles component failures gracefully
  • Monitoring: Comprehensive observability and alerting
  • Backup Strategy: Data backup and recovery procedures
  • Health Checks: Service health monitoring and auto-recovery
  • Graceful Degradation: System continues operating with reduced functionality

Maintainability Review

  • Code Organization: Clear module and service boundaries
  • Documentation: Architecture and API documentation complete
  • Testing Strategy: Unit, integration, and end-to-end tests planned
  • Deployment Process: Automated, repeatable deployment pipeline
  • Monitoring: Operational metrics and business intelligence

Next Steps

Continue Your Design Journey

  1. Diagram Creation - Master visual architecture documentation
  2. Technical Blueprints - Create detailed technical specifications
  3. Pull Request Reviews - Implement design review processes

Apply Your Knowledge


Remember: Great architecture is not about using the latest technology—it's about making thoughtful decisions that serve your requirements and team capabilities.