Technical Architecture

System Overview

Architecture Diagram

graph TD
    A[Deployment Manager] --> B[Configuration Manager]
    A --> C[Executor]
    B --> D[Topology Manager]
    B --> E[Service Map]
    C --> F[Command Executor]
    C --> G[Shell Scripts]
    F --> H[SSH Handler]
    F --> I[Process Manager]

Core Components

1. Deployment Manager

• Purpose: Orchestrates the entire deployment process
• Key Features:
  • Deployment workflow management
  • State management
  • Error handling and recovery
• Dependencies:
  • Configuration Manager
  • Executor

2. Configuration Manager

• Purpose: Manages system configuration and service topology
• Components:
  • Topology Manager
  • Service Map
• Key Features:
  • Configuration validation
  • Service dependency resolution
  • Environment-specific settings

3. Executor

• Purpose: Executes deployment commands and scripts
• Components:
  • Command Executor
  • Shell Scripts
  • Process Manager
• Features:
  • Remote command execution
  • Process management
  • Error handling

Technical Details

1. Configuration Management

Service Map

class ServiceMap:
    def __init__(self):
        self.services = {}
        self.dependencies = {}
    
    def get_service_info(self, service_name: str) -> Dict:
        # Returns service configuration
        pass
    
    def validate_dependencies(self) -> bool:
        # Validates service dependencies
        pass

Topology Manager

class TopologyManager:
    def __init__(self):
        self.nodes = []
        self.service_distribution = {}
    
    def generate_topology(self) -> Dict:
        # Generates deployment topology
        pass
    
    def validate_topology(self) -> bool:
        # Validates topology configuration
        pass

2. Command Execution

Command Executor

class CommandExecutor:
    def __init__(self):
        self.ssh_handler = SSHHandler()
        self.process_mgr = ProcessManager()
    
    def execute_remote(self, command: str, host: str) -> Result:
        # Executes command on remote host
        pass
    
    def execute_local(self, command: str) -> Result:
        # Executes command locally
        pass

SSH Handler

class SSHHandler:
    def __init__(self):
        self.connections = {}
    
    def connect(self, host: str, credentials: Dict) -> bool:
        # Establishes SSH connection
        pass
    
    def execute_command(self, command: str) -> Result:
        # Executes command over SSH
        pass

Data Flow

1. Deployment Flow

sequenceDiagram
    participant DM as Deployment Manager
    participant CM as Configuration Manager
    participant EX as Executor
    participant TG as Target System

    DM->>CM: Load Configuration
    CM->>DM: Configuration Validated
    DM->>EX: Execute Deployment
    EX->>TG: Deploy Components
    TG->>EX: Deployment Status
    EX->>DM: Execution Results

2. Configuration Flow

sequenceDiagram
    participant CM as Configuration Manager
    participant TM as Topology Manager
    participant SM as Service Map
    participant VA as Validator

    CM->>TM: Request Topology
    TM->>SM: Get Service Info
    SM->>TM: Service Configuration
    TM->>VA: Validate Topology
    VA->>CM: Validation Results

Security Architecture

1. Authentication

• SSH key-based authentication
• Role-based access control
• Secure credential storage

2. Network Security

• Encrypted communication
• Port-level security
• Network isolation

3. Data Security

• Configuration encryption
• Secure storage
• Audit logging

Performance Considerations

1. Scalability

• Distributed deployment support
• Load balancing
• Resource optimization

2. Reliability

• Fault tolerance
• Automatic recovery
• State persistence

3. Monitoring

• Performance metrics
• Health checks
• Log aggregation

Integration Points

1. External Systems

• Package repositories
• Monitoring systems
• Log aggregators

2. APIs

• REST APIs for control
• Webhook integration
• Metric export

Development Guidelines

1. Code Organization

src/
├── config/
│   ├── topology.py
│   └── service_map.py
├── executor/
│   ├── command.py
│   └── ssh.py
└── utils/
    ├── validation.py
    └── logging.py

2. Best Practices

• Type hints usage
• Error handling patterns
• Logging standards
• Testing requirements

3. Development Workflow

• Branch management
• Code review process
• CI/CD integration
• Documentation updates

Deployment Environments

1. Development

• Local deployment
• Mock services
• Debug logging

2. Staging

• Production-like environment
• Test data
• Performance testing

3. Production

• High availability
• Monitoring
• Backup and recovery

Future Considerations

1. Planned Improvements

• Container orchestration
• Service mesh integration
• Advanced monitoring

2. Scalability Plans

• Multi-region support
• Auto-scaling
• Load distribution

3. Technology Evolution

• Framework updates
• Security enhancements
• Performance optimization