FlowOps - AI-Powered Workflow Operations

A production-ready AI-powered workflow operations system built with modern full-stack architecture and comprehensive agentic AI capabilities.

🏗️ Architecture

Technology Stack

• Frontend: React 18 + TypeScript + Tailwind CSS
• Backend: Node.js + Express + TypeScript
• Database: PostgreSQL + Redis (caching)
• Queue: Redis + Bull Queue
• Authentication: JWT + bcrypt
• Containerization: Docker + Docker Compose
• CI/CD: GitHub Actions with security scanning
• Monitoring: Prometheus + Grafana
• Logging: Winston + ELK Stack

System Design

┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│   Frontend    │    │    Backend     │    │   Database      │
│   (React)      │◄──►│   (Node.js)    │◄──►│  (PostgreSQL)   │
│                │    │                │    │                │
└─────────────────┘    └─────────────────┘    └─────────────────┘
         │                       │                       │
         │              ┌─────────────────┐              │
         └──────────────►│   Redis Queue   │◄─────────────┘
                        │ (Bull Queue)   │
                        └─────────────────┘

🚀 Features

Core Functionality

• AI-Powered Job Optimization: Intelligent job scheduling and resource allocation
• Predictive Analytics: ML-based failure prediction and anomaly detection
• Natural Language Interface: Chat with AI for workflow management
• Real-time Updates: WebSocket notifications with AI insights
• Automated Performance Tuning: AI-driven system optimization
• Smart Resource Management: Dynamic resource allocation based on AI analysis

AI Capabilities

• Job Optimization: AI analyzes job patterns and suggests optimal scheduling
• Failure Prediction: ML models predict potential job failures before they occur
• Performance Insights: Real-time AI analysis of system performance metrics
• Natural Language Queries: Ask questions about your workflow in plain English
• Anomaly Detection: AI identifies unusual patterns and potential issues
• Automated Remediation: AI suggests and can automatically fix common issues

Security Features

• Authentication: JWT-based with refresh tokens
• Authorization: Role-based access control (RBAC)
• Input Validation: Comprehensive request validation
• Rate Limiting: API abuse prevention
• CORS: Proper cross-origin configuration
• Security Headers: OWASP recommended headers
• SQL Injection Prevention: Parameterized queries
• XSS Protection: Input sanitization and CSP

📁 Project Structure

scheduledbatch/
├── frontend/                    # React TypeScript application
│   ├── src/
│   │   ├── components/         # Reusable UI components
│   │   ├── pages/             # Page components
│   │   ├── hooks/             # Custom React hooks
│   │   ├── services/           # API services
│   │   ├── types/             # TypeScript definitions
│   │   └── utils/             # Utility functions
│   ├── public/
│   └── package.json
├── backend/                     # Node.js TypeScript API
│   ├── src/
│   │   ├── controllers/       # Route handlers
│   │   ├── services/          # Business logic
│   │   ├── models/            # Database models
│   │   ├── middleware/        # Express middleware
│   │   ├── routes/            # API routes
│   │   ├── jobs/              # Batch job definitions
│   │   ├── utils/             # Utility functions
│   │   └── config/            # Configuration
│   ├── tests/                 # Test suites
│   └── package.json
├── infrastructure/              # DevOps and deployment
│   ├── docker/
│   │   ├── Dockerfile.frontend
│   │   ├── Dockerfile.backend
│   │   └── docker-compose.yml
│   ├── kubernetes/            # K8s manifests
│   ├── terraform/             # Infrastructure as code
│   └── monitoring/           # Prometheus + Grafana
├── security/                   # Security configurations
│   ├── sast-config/          # Static analysis config
│   ├── dast-config/          # Dynamic analysis config
│   └── security-policies/     # Security policies
└── docs/                      # Documentation
    ├── api/                   # API documentation
    ├── deployment/             # Deployment guides
    └── security/              # Security analysis reports

🔧 Quick Start

Prerequisites

• Node.js 18+
• Docker & Docker Compose
• PostgreSQL 14+
• Redis 6+

Development Setup

# Clone and setup
git clone https://github.com/sbusanelli/ScheduledBatch
cd ScheduledBatch

# Start infrastructure
docker-compose up -d

# Install dependencies
npm run install:all

# Run development servers
npm run dev

Production Deployment

# Build and deploy
npm run build
docker-compose -f docker-compose.prod.yml up -d

🔒 Security Implementation

Static Application Security Testing (SAST)

• ESLint Security: Security-focused linting rules
• TypeScript: Type safety for injection prevention
• npm audit: Dependency vulnerability scanning
• Semgrep: Custom security rule analysis
• CodeQL: Advanced static analysis

Dynamic Application Security Testing (DAST)

• OWASP ZAP: Automated security scanning
• Burp Suite: Security testing integration
• Postman: Security test automation
• Custom Scripts: Input validation testing

Security Headers

X-Content-Type-Options: nosniff
X-Frame-Options: DENY
X-XSS-Protection: "1; mode=block"
Strict-Transport-Security: max-age=31536000
Content-Security-Policy: default-src 'self'

📊 Monitoring & Observability

Metrics Collection

• Application Metrics: Request rate, error rate, response times
• Business Metrics: Job success rate, processing time
• Infrastructure Metrics: CPU, memory, disk usage
• Security Metrics: Authentication failures, blocked requests

Logging Strategy

• Structured Logging: JSON format with correlation IDs
• Log Levels: Debug, Info, Warn, Error
• Log Aggregation: Centralized logging with ELK stack
• Security Events: Dedicated security log stream

🧪 Testing Strategy

Unit Testing

• Frontend: Jest + React Testing Library
• Backend: Jest + Supertest
• Coverage: Minimum 80% code coverage

Integration Testing

• API Testing: Postman collections
• Database Testing: Testcontainers
• Queue Testing: Redis test instance

Security Testing

• SAST: Automated on every PR
• DAST: Weekly security scans
• Penetration Testing: Quarterly assessments

📈 Performance Optimization

Frontend

• Code Splitting: Lazy loading with React.lazy
• Bundle Optimization: Webpack optimization
• Caching: Service worker implementation
• CDN: Static asset delivery

Backend

• Database Indexing: Optimized query performance
• Connection Pooling: Efficient database connections
• Caching Strategy: Redis caching layer
• Rate Limiting: API abuse prevention

🚦 CI/CD Pipeline

GitHub Actions Workflow

1. Code Quality: Linting, formatting, type checking
2. Security Scanning: SAST, dependency checks, secrets detection
3. Testing: Unit, integration, E2E tests
4. Build: Docker image creation and optimization
5. Security Testing: DAST scanning in staging
6. Deployment: Automated production deployment

Environment Strategy

• Development: Feature branch deployments
• Staging: Production-like environment for testing
• Production: Blue-green deployment strategy

📚 API Documentation

Authentication Endpoints

POST /api/auth/login
POST /api/auth/refresh
POST /api/auth/logout

Job Management

GET    /api/jobs
POST   /api/jobs
GET    /api/jobs/:id
PUT    /api/jobs/:id
DELETE /api/jobs/:id

AI Endpoints

POST   /api/ai/analyze/:jobId          # AI job optimization analysis
GET    /api/ai/predict-failures        # AI failure prediction
GET    /api/ai/performance-insights    # AI performance analysis
POST   /api/ai/optimize-schedule      # AI schedule optimization
GET    /api/ai/anomaly-alerts        # AI anomaly detection
POST   /api/ai/explain-failure/:id    # AI failure explanation
POST   /api/ai/chat                  # AI chat interface

🤝 Contributing

1. Fork the repository
2. Create feature branch
3. Implement changes with tests
4. Ensure security checks pass
5. Submit pull request

📄 License

This project is licensed under the AGPL-3.0 License - see LICENSE file for details.

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Built by Sreedhar Busanelli - Senior Systems Reliability Engineer at T-Mobile