Technical Documentation

Markdown Viewer excels at creating technical documentation with code, diagrams, and formulas. Here’s how to use it effectively for tech docs.

Why Use Markdown for Tech Docs?

Advantage Description
Version Control Track changes in Git
Plain Text Edit with any tool
Portable Works everywhere
Fast No loading times
Collaborative Easy merge/diff

Perfect for Architecture Docs

System Architecture

## System Architecture

Our platform uses a microservices architecture:

```mermaid
graph TB
    subgraph "Client Layer"
        Web[Web App]
        Mobile[Mobile App]
        API[API Clients]
    end
    
    subgraph "API Gateway"
        GW[Kong Gateway]
        Auth[Auth Service]
    end
    
    subgraph "Services"
        Users[User Service]
        Products[Product Service]
        Orders[Order Service]
        Payments[Payment Service]
    end
    
    subgraph "Data Layer"
        PG[(PostgreSQL)]
        Redis[(Redis Cache)]
        ES[(Elasticsearch)]
    end
    
    Web --> GW
    Mobile --> GW
    API --> GW
    
    GW --> Auth
    GW --> Users
    GW --> Products
    GW --> Orders
    GW --> Payments
    
    Users --> PG
    Products --> PG
    Products --> ES
    Orders --> PG
    Orders --> Redis
    Payments --> PG
```

API Sequence Diagrams

## Authentication Flow

```mermaid
sequenceDiagram
    participant Client
    participant Gateway
    participant Auth
    participant DB
    
    Client->>Gateway: POST /login
    Gateway->>Auth: Validate credentials
    Auth->>DB: Query user
    DB-->>Auth: User data
    Auth-->>Auth: Generate JWT
    Auth-->>Gateway: JWT token
    Gateway-->>Client: 200 OK + token
    
    Note over Client,Gateway: Subsequent requests
    Client->>Gateway: GET /api/data (Bearer token)
    Gateway->>Auth: Validate token
    Auth-->>Gateway: Valid
    Gateway-->>Client: 200 OK + data
```

API Documentation

Endpoint Documentation

## User API

### Create User

`POST /api/users`

**Request Body:**

```json
{
  "name": "John Doe",
  "email": "john@example.com",
  "role": "admin"
}
```

**Response:**

```json
{
  "id": 123,
  "name": "John Doe",
  "email": "john@example.com",
  "role": "admin",
  "created_at": "2024-01-15T10:30:00Z"
}
```

**Status Codes:**

| Code | Description |
|------|-------------|
| 201 | User created |
| 400 | Invalid input |
| 409 | Email exists |
| 500 | Server error |

Class Diagrams for SDKs

## SDK Class Structure

```mermaid
classDiagram
    class APIClient {
        -string baseUrl
        -string apiKey
        +get(endpoint) Response
        +post(endpoint, data) Response
        +put(endpoint, data) Response
        +delete(endpoint) Response
    }
    
    class UserService {
        -APIClient client
        +create(user) User
        +get(id) User
        +update(id, data) User
        +delete(id) bool
    }
    
    class ProductService {
        -APIClient client
        +list(filters) Product[]
        +get(id) Product
        +search(query) Product[]
    }
    
    APIClient <|-- UserService
    APIClient <|-- ProductService
```

Database Documentation

Entity Relationships

## Database Schema

```mermaid
erDiagram
    USERS ||--o{ ORDERS : places
    USERS {
        int id PK
        string email UK
        string password_hash
        datetime created_at
    }
    
    ORDERS ||--|{ ORDER_ITEMS : contains
    ORDERS {
        int id PK
        int user_id FK
        decimal total
        string status
        datetime created_at
    }
    
    PRODUCTS ||--o{ ORDER_ITEMS : included_in
    PRODUCTS {
        int id PK
        string name
        decimal price
        int stock
    }
    
    ORDER_ITEMS {
        int id PK
        int order_id FK
        int product_id FK
        int quantity
        decimal price
    }
```

DevOps & Infrastructure

Deployment Pipelines

## CI/CD Pipeline

```mermaid
graph LR
    subgraph "Development"
        Code[Push Code]
        PR[Pull Request]
    end
    
    subgraph "CI"
        Lint[Lint]
        Test[Unit Tests]
        Build[Build]
    end
    
    subgraph "CD"
        Stage[Deploy Staging]
        E2E[E2E Tests]
        Prod[Deploy Production]
    end
    
    Code --> PR
    PR --> Lint
    Lint --> Test
    Test --> Build
    Build --> Stage
    Stage --> E2E
    E2E --> Prod
```

Infrastructure Topology

## AWS Infrastructure

```dot
digraph AWS {
    rankdir=TB;
    node [shape=box, style=rounded];
    
    subgraph cluster_vpc {
        label="VPC";
        style=dashed;
        
        subgraph cluster_public {
            label="Public Subnet";
            ALB [label="ALB"];
            NAT [label="NAT Gateway"];
        }
        
        subgraph cluster_private {
            label="Private Subnet";
            ECS [label="ECS Cluster"];
            RDS [label="RDS PostgreSQL"];
            ElastiCache [label="ElastiCache"];
        }
    }
    
    Internet [label="Internet", shape=cloud];
    S3 [label="S3 Bucket"];
    
    Internet -> ALB;
    ALB -> ECS;
    ECS -> RDS;
    ECS -> ElastiCache;
    ECS -> S3;
    ECS -> NAT;
    NAT -> Internet;
}
```

Code Examples

Syntax Highlighted Code

## Installation

```bash
# Clone the repository
git clone https://github.com/company/project.git
cd project

# Install dependencies
npm install

# Configure environment
cp .env.example .env
vim .env

# Run migrations
npm run db:migrate

# Start development server
npm run dev
```

## Configuration

```typescript
// config/database.ts
import { DatabaseConfig } from './types';

export const config: DatabaseConfig = {
  host: process.env.DB_HOST || 'localhost',
  port: parseInt(process.env.DB_PORT || '5432'),
  database: process.env.DB_NAME || 'myapp',
  username: process.env.DB_USER || 'postgres',
  password: process.env.DB_PASSWORD,
  pool: {
    min: 2,
    max: 10,
    idleTimeoutMillis: 30000
  }
};
```

Time Savings

Document Type Traditional With Markdown Viewer
API doc (10 endpoints) 2 hours 30 min
Architecture overview 3 hours 45 min
SDK documentation 4 hours 1 hour
Deployment guide 1.5 hours 20 min

Why faster?

  • No manual diagram drawing
  • Code blocks auto-formatted
  • One-click export to Word
  • Version control friendly

Best Practices

Structure Your Docs

# Project Name

## Overview
Brief description...

## Architecture
System diagrams...

## API Reference
Endpoint details...

## Configuration
Setup instructions...

## Deployment
How to deploy...

## Troubleshooting
Common issues...

Use Consistent Diagrams

Pick a diagram type and stick with it:

  • Mermaid for most diagrams
  • DOT for complex graphs
  • Tables for simple data

Include Examples

Every API endpoint should have:

  • Request example
  • Response example
  • Error examples

Export to Word

When you need to share with non-technical stakeholders:

  1. Open your documentation
  2. Press Ctrl/Cmd + S
  3. Share the Word document

All diagrams become high-resolution images, code keeps syntax highlighting.