Logical & Data Architecture
Purpose of this Document
This document describes the logical organization of the [System Name] system and its associated data architecture, providing a foundation for technical implementation decisions.
Architectural Layers
Application Layers:
Presentation:
Type: [UI framework, e.g., React, Angular]
Pattern: [MVC, MVVM, Flux, etc.]
Components: [Key UI components]
Business:
Type: [Service pattern, e.g., Microservices, Domain Services]
Style: [Architectural style, e.g., REST, Event-Driven]
Key Services: [Core business services]
Data:
Type: [Storage pattern, e.g., RDBMS, NoSQL]
Model: [Data model approach, e.g., Relational, Document]
Persistence: [Storage mechanism]Architectural Principles
| Principle | Description | Rationale |
|---|---|---|
| [Name] | [Brief description] | [Why this principle matters] |
| [Name] | [Brief description] | [Why this principle matters] |
| [Name] | [Brief description] | [Why this principle matters] |
Logical Component Model
graph TD
subgraph "Client Applications"
A[Web Client]
B[Mobile Client]
C[Admin Portal]
end
subgraph "API Layer"
D[API Gateway]
E[BFF Services]
F[Authentication]
end
subgraph "Business Services"
G[Service 1]
H[Service 2]
I[Service 3]
end
subgraph "Data Layer"
J[Repositories]
K[Data Access]
L[Caching]
end
A --> D
B --> E
C --> D
D --> F
D --> G
E --> G
E --> H
G --> J
H --> J
I --> K
J --> LData Models
Conceptual Data Model
erDiagram
CUSTOMER ||--o{ ORDER : places
ORDER ||--|{ LINE_ITEM : contains
PRODUCT ||--o{ LINE_ITEM : "ordered in"
CUSTOMER {
string id
string name
string email
}
ORDER {
string id
date created_at
string status
}
LINE_ITEM {
string id
int quantity
decimal price
}
PRODUCT {
string id
string name
decimal price
}Logical Data Model
@startuml
entity "Customer" as customer {
* customer_id : UUID <<PK>>
--
* name : VARCHAR(100)
* email : VARCHAR(100) <<unique>>
* created_at : TIMESTAMP
status : VARCHAR(20)
}
entity "Order" as order {
* order_id : UUID <<PK>>
--
* customer_id : UUID <<FK>>
* created_at : TIMESTAMP
* status : VARCHAR(20)
shipping_address : VARCHAR(200)
total_amount : DECIMAL(10,2)
}
entity "LineItem" as lineitem {
* line_item_id : UUID <<PK>>
--
* order_id : UUID <<FK>>
* product_id : UUID <<FK>>
* quantity : INT
* unit_price : DECIMAL(10,2)
total_price : DECIMAL(10,2)
}
entity "Product" as product {
* product_id : UUID <<PK>>
--
* name : VARCHAR(100)
* price : DECIMAL(10,2)
description : TEXT
category : VARCHAR(50)
inventory_count : INT
}
customer ||--o{ order
order ||--|{ lineitem
product ||--o{ lineitem
@endumlLayer Dependencies
@startuml
package "Presentation" {
[UI Components]
[View Models]
[Navigation]
}
package "Business" {
[Domain Services]
[Business Rules]
[Application Services]
}
package "Data" {
[Repositories]
[Data Access]
[Caching]
}
[UI Components] --> [View Models]
[View Models] --> [Application Services]
[Application Services] --> [Domain Services]
[Domain Services] --> [Repositories]
[Repositories] --> [Data Access]
@endumlComponent Organization
Core Components:
- Name: [Component name]
Purpose: [What it does]
Dependencies: [What it relies on]
Pattern: [Design pattern used]
API Surface: [Primary interfaces]
# Additional components as needed
Cross-Cutting:
- Security:
Responsibility: [What it handles]
Approach: [Implementation strategy]
- Logging:
Approach: [Implementation strategy]
Key Events: [What gets logged]
- Monitoring:
Metrics: [Key measurements]
Alerts: [When to alert]
- Configuration:
Sources: [Config sources]
Refresh: [Update strategy]Interface Definitions
Internal APIs:
- Service: [Service name]
Type: [Synchronous/Asynchronous]
Protocol: [REST, GraphQL, gRPC, etc.]
Purpose: [What it does]
Key Operations:
- [Operation 1]
- [Operation 2]
Consumers: [Who uses it]
External APIs:
- Interface: [API name]
Version: [Current version]
Pattern: [REST, GraphQL, etc.]
Contract: [Link to specification]
Authentication: [Method]
Rate Limits: [Constraints]Quality Attributes
Performance:
Response Time: [Target, e.g., "95% of requests < 200ms"]
Throughput: [Target, e.g., "1000 TPS"]
Scalability: [Approach, e.g., "Horizontal scaling up to 100 instances"]
Reliability:
Availability: [Target, e.g., "99.9% uptime"]
Fault Tolerance: [Strategy, e.g., "Circuit breaker pattern"]
Recovery: [Plan, e.g., "Automated failover within 30 seconds"]
Security:
Authentication: [Method, e.g., "OAuth 2.0 with OIDC"]
Authorization: [Approach, e.g., "RBAC"]
Data Protection: [Standards, e.g., "Encryption in transit and at rest"]Data Architecture
Domain Models:
- Entity: [Entity name]
Purpose: [Business purpose]
Attributes: [Key fields]
Relations: [Connections to other entities]
Volume: [Expected data volume]
Growth: [Expected growth rate]
Storage Types:
Operational:
- Type: [Database type, e.g., "PostgreSQL"]
Purpose: [Use case]
Scale: [Size/operations]
Retention: [Data retention policy]
Backup: [Backup strategy]
Analytical:
- Type: [Database type, e.g., "Snowflake"]
Purpose: [Use case]
Scale: [Size/operations]
ETL: [Data loading approach]
Access: [Query patterns]Data Flow
@startuml
database "Operational DB" as odb
database "Analytics DB" as adb
queue "Message Queue" as mq
component "ETL Pipeline" as etl
component "Data API" as api
api --> odb : CRUD operations
odb --> mq : Change data capture
mq --> etl : Batch processing
etl --> adb : Data loading
adb --> api : Reporting queries
@endumlData Privacy & Governance
Data Classification:
- PII:
Examples: [List of PII data elements]
Handling: [Special procedures]
Encryption: [Approach]
- Sensitive:
Examples: [List of sensitive data elements]
Handling: [Special procedures]
Access: [Restrictions]
Compliance Requirements:
- Regulation: [e.g., GDPR, HIPAA]
Requirements: [Key requirements]
Implementation: [How addressed]
- Regulation: [Additional regulations]
Requirements: [Key requirements]
Implementation: [How addressed]