DEV Community

Stella Achar Oiro
Stella Achar Oiro

Posted on

How to Create Cloud Architecture Documentation in 30 Days

Master the Fundamentals of Cloud Documentation (Day 1-2)

Before diving into specific documentation tasks, you need to understand why proper documentation is crucial for cloud architectures. Your documentation serves as:

  • A single source of truth for your team
  • An on-boarding tool for new team members
  • A reference for troubleshooting
  • A compliance requirement for audits
  • A communication tool for stakeholders

Setting Up Your Documentation Environment

  1. Choose your documentation stack:

    • Version Control: Set up a Git repository dedicated to documentation
    • Collaboration Platform: Configure a team wiki (like Confluence) or documentation platform
    • Diagramming Tools: Install and configure your preferred tools
    • Templates: Create standardized templates for consistency
  2. Establish documentation standards:

   # [Project Name] Architecture Documentation

   ## Version History
   | Version | Date | Author | Changes |
   |---------|------|--------|---------|
   | 1.0     | DATE | YOU    | Initial |

   ## System Overview
   [High-level description goes here]

   ## Components
   [Detailed component descriptions]
Enter fullscreen mode Exit fullscreen mode

Create Your System Overview Diagram (Day 3-4)

Planning Your First Diagram

  1. List all major components:
   Frontend:
   - Web applications
   - Mobile applications

   Backend:
   - API servers
   - Processing services

   Data:
   - Databases
   - Storage solutions
Enter fullscreen mode Exit fullscreen mode
  1. Map component relationships:
    • Draw initial connections
    • Identify data flows
    • Mark security boundaries

Implementation Steps

  1. Start with a blank canvas in your chosen tool
  2. Add system boundaries:
   ┌─ Production Environment ─┐
   │ ┌─ Application Tier ─┐  │
   │ │                    │  │
   │ └────────────────────┘  │
   └──────────────────────────┘
Enter fullscreen mode Exit fullscreen mode
  1. Place components using standard symbols:

    • 🔷 Databases
    • 🔶 Compute resources
    • 🔺 External services
    • ⬡ Security components
  2. Add connections:

    • Solid lines for synchronous communications
    • Dashed lines for asynchronous
    • Dotted lines for optional connections

Document Your Cloud Components (Day 5-7)

Storage Solutions Deep Dive

Object Storage (S3-like services)

Document each bucket or container:

Bucket: user-uploads
Purpose: Store user-submitted content
Lifecycle:
  - Transition to IA: 30 days
  - Archive to Glacier: 90 days
  - Delete: 7 years
Security:
  - Server-side encryption: AES-256
  - Public access: Blocked
  - Versioning: Enabled
Enter fullscreen mode Exit fullscreen mode

Databases

For each database instance:

Database: customer-data
Type: PostgreSQL
Purpose: Primary customer information store
Scaling:
  - Current size: 500GB
  - Growth rate: ~50GB/month
  - Read replicas: 2
Backup:
  - Schedule: Daily
  - Retention: 30 days
  - Point-in-time recovery: Enabled
Enter fullscreen mode Exit fullscreen mode

Computing Resources Documentation

Virtual Machines

Document each instance type:

Instance Group: web-servers
Purpose: Serve main application
Specifications:
  - Type: t3.large
  - vCPUs: 2
  - Memory: 8GB
Scaling:
  - Minimum: 2
  - Maximum: 10
  - Scale-out: CPU > 70%
  - Scale-in: CPU < 30%
Enter fullscreen mode Exit fullscreen mode

Design Your Data Flow Documentation (Day 8-10)

Data Flow Template

Create a standardized format for documenting data flows:

## Data Flow: [Name]

### Source
- System: [Source System]
- Format: [Data Format]
- Frequency: [How Often]

### Transformation
1. Step 1: [Description]
   - Input: [Format]
   - Process: [Details]
   - Output: [Format]
2. Step 2: [Description]
   ...

### Destination
- System: [Target System]
- Storage: [Storage Type]
- Retention: [Period]
Enter fullscreen mode Exit fullscreen mode

Example Data Flow Documentation

## Data Flow: Customer Order Processing

### Source
- System: E-commerce Platform
- Format: JSON
- Frequency: Real-time

### Transformation
1. Order Validation
   - Input: Raw order JSON
   - Process: Validate items, price, stock
   - Output: Validated order object

2. Payment Processing
   - Input: Validated order
   - Process: Payment gateway integration
   - Output: Payment confirmation

### Destination
- System: Order Management
- Storage: PostgreSQL
- Retention: 7 years
Enter fullscreen mode Exit fullscreen mode

Document Your Security Architecture (Day 11-13)

Identity and Access Management (IAM)

Document your IAM structure using this template:

Role: backend-service
Description: Access role for backend services
Permissions:
  - Service: S3
    Actions:
      - s3:GetObject
      - s3:PutObject
    Resources:
      - arn:aws:s3:::app-data/*
  - Service: DynamoDB
    Actions:
      - dynamodb:Query
      - dynamodb:PutItem
    Resources:
      - arn:aws:dynamodb:*:*:table/users
Trusted Entities:
  - Lambda functions
  - EC2 instances
Enter fullscreen mode Exit fullscreen mode

Network Security Documentation

1. Network Zone: Production VPC

Subnets

  1. Public Subnet

    • CIDR: 10.0.1.0/24
    • Purpose: Load balancers, bastions
    • Route Table: public-rt
  2. Private Subnet

    • CIDR: 10.0.2.0/24
    • Purpose: Application servers
    • Route Table: private-rt-1

Security Groups

  1. Load Balancer SG
   Name: alb-sg
   Inbound:
     - Port: 443
       Source: 0.0.0.0/0
       Purpose: HTTPS
   Outbound:
     - Port: 8080
       Destination: app-sg
       Purpose: Application traffic
Enter fullscreen mode Exit fullscreen mode
  1. Application SG
   Name: app-sg
   Inbound:
     - Port: 8080
       Source: alb-sg
       Purpose: Application traffic
   Outbound:
     - Port: 5432
       Destination: db-sg
       Purpose: Database access
Enter fullscreen mode Exit fullscreen mode

2. Encryption Standards

Data Encryption Standards

Data at Rest

  1. S3 Objects

    • Algorithm: AES-256
    • Key Management: AWS KMS
    • Key Rotation: Annual
  2. Database

    • Algorithm: AES-256
    • TDE (Transparent Data Encryption): Enabled
    • Backup Encryption: Yes

Data in Transit

  1. External Traffic

    • Protocol: TLS 1.3
    • Certificate Manager: AWS ACM
    • Renewal: Automatic
  2. Internal Traffic

    • Service Mesh: AWS App Mesh
    • Protocol: mTLS
    • Certificate Authority: Private CA

Master Documentation Tools (Day 14-16)

Draw.io Best Practices

  1. Create custom symbol libraries:
<mxlibrary>[
  {
    "xml": "<mxGraphModel><root><mxCell id=\"0\"/><mxCell id=\"1\" parent=\"0\"/><mxCell id=\"2\" value=\"Lambda\" style=\"shape=cloud\" vertex=\"1\"><mxGeometry x=\"0\" y=\"0\" width=\"80\" height=\"60\"/></mxCell></root></mxGraphModel>",
    "w": 80,
    "h": 60,
    "aspect": "fixed",
    "title": "Lambda Function"
  }
]</mxlibrary>
Enter fullscreen mode Exit fullscreen mode
  1. Set up document templates:
// Template configuration
{
  "pageFormat": {
    "width": 850,
    "height": 1100,
    "orientation": "portrait"
  },
  "styles": [
    {
      "name": "production",
      "stroke": "#00ff00",
      "fillColor": "#ffffff"
    },
    {
      "name": "staging",
      "stroke": "#ffaa00",
      "fillColor": "#ffffff"
    }
  ]
}
Enter fullscreen mode Exit fullscreen mode

Markdown Documentation Examples

Create consistent documentation patterns:

# Service Documentation Template

## Service: [Name]

### Quick Reference
- **Owner**: [Team Name]
- **Slack**: #channel
- **Repository**: github.com/org/repo

### Architecture
![Architecture Diagram](./diagrams/service-arch.png)

### Dependencies
- Upstream Services:
  - Service A (Critical)
  - Service B (Non-critical)
- Downstream Services:
  - Service C (Critical)
  - Service D (Non-critical)

### Configuration
\```

yaml
service:
  name: user-service
  port: 8080
  health_check:
    endpoint: /health
    interval: 30s
\

Enter fullscreen mode Exit fullscreen mode

Deployment

  1. Pre-requisites
  2. Configuration Steps
  3. Verification Steps

Monitoring

  • Metrics
  • Alerts
  • Dashboards

Disaster Recovery

  • Backup Procedures
  • Recovery Steps
  • Contact Information ```

Implement Best Practices (Day 17-19)

Version Control Strategy

# Directory Structure
docs/
  ├── architecture/
  │   ├── diagrams/
  │   │   ├── high-level.drawio
  │   │   └── component-level/
  │   ├── components/
  │   └── security/
  ├── runbooks/
  └── README.md

# Git Workflow
git checkout -b doc/update-network-diagram
git add docs/architecture/diagrams/network.drawio
git commit -m "docs: update network diagram with new VPC peering"
git push origin doc/update-network-diagram
Enter fullscreen mode Exit fullscreen mode

Documentation Reviews

Create a review checklist:

## Documentation Review Checklist

### Technical Accuracy
- [ ] All component names match deployment
- [ ] Security groups are current
- [ ] IAM roles reflect actual permissions
- [ ] Network flows are accurate

### Readability
- [ ] Diagrams follow style guide
- [ ] Technical terms are explained
- [ ] Abbreviations are defined
- [ ] Examples are provided

### Completeness
- [ ] All major components documented
- [ ] Dependencies listed
- [ ] Security controls described
- [ ] Recovery procedures included
Enter fullscreen mode Exit fullscreen mode

Maintain and Update Documentation (Day 20+)

Regular Review Schedule

## Documentation Maintenance Schedule

### Weekly Reviews
- [ ] Check for broken links
- [ ] Update metrics and capacities
- [ ] Review access patterns

### Monthly Reviews
- [ ] Full architecture review
- [ ] Security compliance check
- [ ] Cost optimization review

### Quarterly Reviews
- [ ] Complete system audit
- [ ] Update all diagrams
- [ ] Refresh examples
- [ ] Update dependencies
Enter fullscreen mode Exit fullscreen mode

Change Management Process

Document updates using a structured format:

Change:
  title: "Update Authentication Flow"
  date: "2025-01-14"
  author: "Your Name"
  type: "Architecture Update"
  components:
    - Auth Service
    - User Database
  changes:
    - "Added OAuth2 flow diagram"
    - "Updated IAM roles"
    - "Modified network paths"
  verification:
    - "Reviewed by security team"
    - "Tested in staging"
    - "Approved by architecture board"
  related_tickets:
    - ARCH-123
    - SEC-456
Enter fullscreen mode Exit fullscreen mode

Real-World Example: E-Commerce Platform

Let's put it all together with a complete example of an e-commerce platform documentation:

# E-Commerce Platform Architecture

## System Overview
[check the architecture diagram below showing all components]

## Key Components

### Customer-Facing Services
1. Web Application
   - React.js frontend
   - CloudFront distribution
   - Route53 DNS configuration

2. Mobile API
   - API Gateway endpoints
   - Lambda authorizers
   - Request/response models

### Backend Services
1. Order Processing
   - Event-driven architecture
   - SQS queues
   - DynamoDB tables

2. Payment Integration
   - Payment gateway
   - Encryption standards
   - Compliance requirements

### Monitoring and Alerts
1. CloudWatch Dashboards
2. SNS Topics
3. PagerDuty Integration

## Disaster Recovery Plan

### Backup Procedures
1. Database backups
2. Configuration backups
3. Data archive strategy

### Recovery Steps
1. DNS failover
2. Database restoration
3. Service verification

### Contact Information
[Emergency contacts and escalation procedures]
Enter fullscreen mode Exit fullscreen mode

Architecture Diagram

Set Up Comprehensive Monitoring (Day 21-23)

Monitoring Infrastructure

Document your monitoring setup using this template:

Component: Order Processing Service
Metrics:
  Performance:
    - Name: order_processing_time
      Description: Time to process single order
      Threshold: < 2 seconds
      Alert: > 5 seconds
    - Name: order_queue_length
      Description: Number of orders waiting
      Threshold: < 100
      Alert: > 500

  Reliability:
    - Name: error_rate
      Description: Percentage of failed orders
      Threshold: < 1%
      Alert: > 5%
    - Name: service_availability
      Description: Service uptime
      Threshold: > 99.9%
      Alert: < 99.5%

Dashboards:
  Main:
    - Order Processing Overview
    - Error Rates
    - Queue Status
  Detailed:
    - Transaction Traces
    - Database Performance
    - Cache Hit Rates
Enter fullscreen mode Exit fullscreen mode

Alert Configuration Examples

// CloudWatch Alert Configuration
const alerts = {
  highErrorRate: {
    metricName: 'ErrorRate',
    namespace: 'OrderService',
    statistic: 'Average',
    period: 300, // 5 minutes
    evaluationPeriods: 2,
    threshold: 5,
    comparisonOperator: 'GreaterThanThreshold',
    alarmActions: ['arn:aws:sns:region:account:alert-topic']
  },
  databaseConnections: {
    metricName: 'DatabaseConnections',
    namespace: 'RDS',
    statistic: 'Maximum',
    period: 60,
    evaluationPeriods: 3,
    threshold: 80,
    comparisonOperator: 'GreaterThanThreshold',
    alarmActions: ['arn:aws:sns:region:account:urgent-topic']
  }
};
Enter fullscreen mode Exit fullscreen mode

Log Management

## Log Management Strategy

### Log Categories
1. Application Logs
   - Format: JSON
   - Fields:
     ```

json
     {
       "timestamp": "2025-01-14T12:00:00Z",
       "level": "ERROR",
       "service": "order-processor",
       "trace_id": "abc123",
       "message": "Failed to process order",
       "context": {
         "order_id": "ORD123",
         "error": "Timeout"
       }
     }


     ```
   - Retention: 30 days

2. Security Logs
   - Format: CEF
   - Fields: Timestamp, Source, Action, Status
   - Retention: 1 year

3. Performance Logs
   - Format: Metrics
   - Collection: Every 1 minute
   - Aggregation: 5-minute windows
Enter fullscreen mode Exit fullscreen mode

Implement Deployment Documentation (Day 24-26)

Infrastructure as Code Examples

# Example Terraform Configuration
resource "aws_ecs_cluster" "main" {
  name = "production-cluster"

  setting {
    name  = "containerInsights"
    value = "enabled"
  }

  tags = {
    Environment = "production"
    Managed     = "terraform"
  }
}

resource "aws_ecs_task_definition" "app" {
  family                   = "app"
  requires_compatibilities = ["FARGATE"]
  network_mode            = "awsvpc"
  cpu                     = 256
  memory                  = 512

  container_definitions = jsonencode([
    {
      name  = "app"
      image = "${var.ecr_repository_url}:${var.image_tag}"
      portMappings = [
        {
          containerPort = 8080
          hostPort      = 8080
          protocol      = "tcp"
        }
      ]
      environment = [
        {
          name  = "NODE_ENV"
          value = "production"
        }
      ]
      logConfiguration = {
        logDriver = "awslogs"
        options = {
          awslogs-group         = "/ecs/app"
          awslogs-region        = var.aws_region
          awslogs-stream-prefix = "ecs"
        }
      }
    }
  ])
}
Enter fullscreen mode Exit fullscreen mode

Deployment Pipeline Documentation

# GitHub Actions Workflow Example
name: Deploy to Production

on:
  push:
    branches: [main]

jobs:
  deploy:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v2

      - name: Configure AWS credentials
        uses: aws-actions/configure-aws-credentials@v1
        with:
          aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
          aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
          aws-region: us-west-2

      - name: Login to Amazon ECR
        id: login-ecr
        uses: aws-actions/amazon-ecr-login@v1

      - name: Build, tag, and push image to ECR
        env:
          ECR_REGISTRY: ${{ steps.login-ecr.outputs.registry }}
          ECR_REPOSITORY: app
          IMAGE_TAG: ${{ github.sha }}
        run: |
          docker build -t $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG .
          docker push $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG

      - name: Update ECS service
        run: |
          aws ecs update-service --cluster production-cluster \
            --service app-service \
            --force-new-deployment
Enter fullscreen mode Exit fullscreen mode

Create Troubleshooting Guides (Day 27-30)

1. High Latency Issues

Symptoms:

  • API response times > 2 seconds
  • Increasing error rates
  • Queue backing up

Investigation Steps:

  1. Check CloudWatch Metrics Monitor the latency of your API Gateway in AWS using CloudWatch:
   aws cloudwatch get-metric-statistics \
     --namespace AWS/ApiGateway \
     --metric-name Latency \
     --dimensions Name=ApiName,Value=OrderAPI \
     --start-time $(date -u -v-1H +%Y-%m-%dT%H:%M:%SZ) \
     --end-time $(date -u +%Y-%m-%dT%H:%M:%SZ) \
     --period 300 \
     --statistics Average
Enter fullscreen mode Exit fullscreen mode
  1. Review Database Performance

    • Check connection pool usage.
    • Review slow query logs.
    • Examine index usage to ensure queries are optimized.
  2. Analyze Cache Hit Rates
    Check Redis cache hit rates:

   redis-cli INFO stats | grep hit_rate
Enter fullscreen mode Exit fullscreen mode

Resolution Steps:

  1. Scale Application Tier Increase the number of ECS tasks to handle higher traffic:
   aws ecs update-service --cluster main --service api \
     --desired-count 4
Enter fullscreen mode Exit fullscreen mode
  1. Optimize Database Run database optimizations to ensure efficient indexing:
   ANALYZE orders;
   REINDEX INDEX order_status_idx;
Enter fullscreen mode Exit fullscreen mode
  1. Clear Problematic Cache Entries Clear any problematic cache entries in Redis:
   redis-cli SCAN 0 MATCH "order:*" COUNT 100
Enter fullscreen mode Exit fullscreen mode

2. Failed Deployments

Symptoms:

  • ECS tasks failing to start
  • Health checks failing
  • 5xx errors in ALB logs

Investigation Steps:

  1. Check ECS Task Status Review the status of ECS tasks:
   aws ecs describe-tasks \
     --cluster production-cluster \
     --tasks $(aws ecs list-tasks \
       --cluster production-cluster \
       --service-name app-service \
       --query 'taskArns[]' \
       --output text)
Enter fullscreen mode Exit fullscreen mode
  1. Review Container Logs Check the logs of the containers for errors:
   aws logs get-log-events \
     --log-group-name /ecs/app \
     --log-stream-name ecs/app/latest
Enter fullscreen mode Exit fullscreen mode
  1. Verify Security Groups Ensure that your security groups are properly configured:
   aws ec2 describe-security-groups \
     --group-ids sg-1234567
Enter fullscreen mode Exit fullscreen mode

Resolution Steps:

  1. Roll Back Deployment Roll back to a previous version of the app:
   aws ecs update-service \
     --cluster production-cluster \
     --service app-service \
     --task-definition app:previous \
     --force-new-deployment
Enter fullscreen mode Exit fullscreen mode
  1. Scale Down/Up Service Scale down the service to drain existing tasks, then scale up again:
   aws ecs update-service \
     --cluster production-cluster \
     --service app-service \
     --desired-count 0

   # Wait for tasks to drain
   sleep 30

   aws ecs update-service \
     --cluster production-cluster \
     --service app-service \
     --desired-count 2
Enter fullscreen mode Exit fullscreen mode

3. Security Incident Response

Detection:

  1. Unusual API Patterns Search API Gateway logs for unusual patterns:
   aws logs filter-log-events \
     --log-group-name API-Gateway-Execution-Logs \
     --filter-pattern "[timestamp, requestId, httpMethod, resourcePath, status >= 400]"
Enter fullscreen mode Exit fullscreen mode
  1. Unauthorized Access Attempts Check CloudTrail for unauthorized API calls:
   aws cloudtrail lookup-events \
     --lookup-attributes AttributeKey=EventName,AttributeValue=ConsoleLogin
Enter fullscreen mode Exit fullscreen mode

Response Steps:

  1. Isolate Affected Resources Update security groups to block access:
   aws ec2 update-security-group-rule-descriptions-ingress \
     --group-id sg-1234567 \
     --ip-permissions '[{"IpProtocol": "-1", "FromPort": -1, "ToPort": -1, "IpRanges": [{"CidrIp": "0.0.0.0/0"}]}]'
Enter fullscreen mode Exit fullscreen mode
  1. Rotate Credentials Rotate the compromised user’s credentials:
   # Create new access key for affected user
   aws iam create-access-key --user-name affected-user

   # Delete the compromised access key
   aws iam delete-access-key \
     --access-key-id AKIA1234567890 \
     --user-name affected-user
Enter fullscreen mode Exit fullscreen mode

Always update your troubleshooting guides as new issues arise and new solutions are discovered. It helps ensure that your team can respond effectively to any issue that may emerge in your production environment.

Documentation is a living artifact that should evolve with your system. Regular updates and reviews are crucial for maintaining its value to the team.

Top comments (0)