Adaptive Deployment Orchestrator

A production-grade, intelligent deployment orchestration platform with real-time control dashboard for Blue-Green and Canary deployments.

Features

• Intelligent Deployment Strategies: Blue-Green and Canary rollouts with automated traffic control
• AI-Driven Decision Engine: Metric-based anomaly detection and automated rollback
• Real-Time Dashboard: Interactive web UI with live deployment visualization and controls
• Comprehensive API: REST + WebSocket endpoints for automation and real-time updates
• CLI Tool: Command-line interface for operators and CI/CD integration
• Enterprise Security: JWT authentication, RBAC, audit logging
• Production Observability: OpenTelemetry, Prometheus metrics, structured logging
• CI/CD Ready: GitHub Actions and GitLab pipeline examples

Deployment Strategies

graph LR
    subgraph "Canary Deployment"
        C1[10% Traffic] --> C2[25% Traffic]
        C2 --> C3[50% Traffic]
        C3 --> C4[100% Traffic]
    end
    
    subgraph "Blue-Green Deployment"
        B1[Blue: Active] --> B2[Green: Deploy]
        B2 --> B3[Switch Traffic]
        B3 --> B4[Green: Active]
    end

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Quick Start

Using Docker Compose (Recommended)

# Start all services
docker-compose up -d

# Access the dashboard
open http://localhost:3000

# Access the API docs
open http://localhost:8000/docs

Local Development

Backend Setup

cd backend
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install -r requirements.txt
uvicorn app.main:app --reload

Frontend Setup

cd frontend
npm install
npm run dev

CLI Tool

cd cli
pip install -e .
adaptive-deploy --help

Architecture

See ARCHITECTURE.md for detailed system design.

graph TB
    subgraph "Client Layer"
        Dashboard[React Dashboard]
        CLI[CLI Tool]
        External[External Systems]
    end

    subgraph "API Layer"
        Gateway[FastAPI Gateway]
        WS[WebSocket Server]
    end

    subgraph "Core Layer"
        Orchestrator[Orchestration Engine]
        Metrics[Metrics Analyzer]
        Anomaly[Anomaly Detector]
    end

    subgraph "Data Layer"
        DB[(PostgreSQL)]
        Prom[Prometheus]
    end

    subgraph "Infrastructure"
        K8s[Kubernetes]
        Cloud[Cloud Services]
    end

    Dashboard --> Gateway
    Dashboard --> WS
    CLI --> Gateway
    External --> Gateway

    Gateway --> Orchestrator
    WS --> Orchestrator
    
    Orchestrator --> Metrics
    Orchestrator --> DB
    Metrics --> Anomaly
    Metrics --> Prom
    
    Orchestrator --> K8s
    Orchestrator --> Cloud

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Key Components

Component	Technology	Purpose
API Gateway	FastAPI	REST API & WebSocket server
Dashboard	React 18 + TypeScript	Real-time deployment UI
CLI	Python + Click	Command-line operations
Database	PostgreSQL	Deployment state & audit logs
Metrics	Prometheus	Time-series monitoring
Container	Docker + Kubernetes	Container orchestration

Documentation

• Architecture Guide
• API Reference
• Dashboard User Guide
• CLI Reference
• Deployment Guide
• CI/CD Integration
• Security Best Practices

Project Structure

adaptive-deployment-orchestrator/
├── backend/              # FastAPI backend service
│   ├── app/
│   │   ├── api/         # API endpoints
│   │   ├── core/        # Core orchestration engine
│   │   ├── models/      # Database models
│   │   ├── services/    # Business logic services
│   │   └── main.py      # Application entry point
│   ├── tests/           # Backend tests
│   └── requirements.txt
├── frontend/            # React TypeScript dashboard
│   ├── src/
│   │   ├── components/  # React components
│   │   ├── services/    # API clients
│   │   └── App.tsx
│   └── package.json
├── cli/                 # CLI tool
│   ├── adaptive_deploy/
│   └── setup.py
├── docs/                # Documentation
├── pipelines/           # CI/CD examples
│   ├── github-actions/
│   └── gitlab/
├── docker-compose.yml
└── README.md

Usage Examples

Deploy with Canary Strategy

# Using CLI
adaptive-deploy canary \
  --service news-api \
  --version v2.0.0 \
  --steps 10,25,50,100 \
  --metric error_rate \
  --threshold 0.05

# Using API
curl -X POST http://localhost:8000/api/v1/deployments \
  -H "Authorization: Bearer $TOKEN" \
  -d '{
    "service": "news-api",
    "strategy": "canary",
    "version": "v2.0.0",
    "steps": [10, 25, 50, 100],
    "metrics": {
      "error_rate": {"threshold": 0.05}
    }
  }'

Monitor and Control Deployments

# Check deployment status
adaptive-deploy status --deployment news-api-canary

# Pause a rollout
adaptive-deploy pause --deployment news-api-canary

# Resume rollout
adaptive-deploy resume --deployment news-api-canary

# Rollback
adaptive-deploy rollback --deployment news-api-canary

Deployment Lifecycle

stateDiagram-v2
    [*] --> Pending: Create
    Pending --> InProgress: Start
    InProgress --> Paused: Pause
    Paused --> InProgress: Resume
    InProgress --> Completed: Success
    InProgress --> RolledBack: Rollback
    InProgress --> Failed: Error
    Paused --> RolledBack: Rollback
    Completed --> [*]
    RolledBack --> [*]
    Failed --> [*]

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Production Readiness

Security Features

• ✅ JWT authentication with configurable expiration
• ✅ Role-Based Access Control (RBAC)
• ✅ Audit logging for all operations
• ✅ Input validation and sanitization
• ✅ CORS configuration
• ✅ Rate limiting

Observability

• ✅ Prometheus metrics endpoint
• ✅ Structured JSON logging
• ✅ Health and readiness probes
• ✅ OpenTelemetry support
• ✅ Real-time event streaming

Reliability

• ✅ Database connection pooling
• ✅ Automatic retry with backoff
• ✅ Graceful error handling
• ✅ Idempotent operations

Contributing

We welcome contributions! Please see our Contributing Guide for details.

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Submit a pull request

License

MIT License - See LICENSE for details

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Built for production. Ready to deploy. Built for scale.