Consultancy Tech Stack - System Architecture Overview
System Components
1. Job Scraper Service (/scraper)
- Purpose: Automated collection of job vacancies from multiple sources
- Technology Stack: Python/Node.js, Puppeteer/Playwright, Redis/Queue system
- Key Features: Multi-source scraping, duplicate detection, data validation
- Data Storage: PostgreSQL for structured data, S3/File storage for attachments
2. AI Rewriting Funnel (/ai-funnel)
- Purpose: Intelligent transformation of scraped job descriptions
- Technology Stack: Python, OpenAI API/Anthropic Claude, FastAPI
- Key Features: Content rewriting, brand integration, quality assurance
- ML Pipeline: Training data management, model versioning, A/B testing
3. Vacancy Website & Portal (/website)
- Purpose: Public job board and employee management system
- Technology Stack: Astro, React/Vue components, TailwindCSS
- Key Features: Job listings, time tracking, employee portal, reporting
- Authentication: Auth0/Supabase Auth, role-based access control
Data Flow Architecture
┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
│ Job Sources │───▶│ Job Scraper │───▶│ Raw Job DB │
│ (Multiple Sites)│ │ Service │ │ (PostgreSQL) │
└─────────────────┘ └──────────────────┘ └─────────────────┘
│
▼
┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
│ Published Jobs │◀───│ AI Rewriting │◀───│ Processing │
│ Website │ │ Funnel │ │ Queue │
└─────────────────┘ └──────────────────┘ └─────────────────┘
Technology Decisions
Database Strategy
- Primary DB: PostgreSQL for transactional data
- Cache Layer: Redis for session management and job processing queues
- File Storage: AWS S3 or local storage for resumes and documents
- Search: Elasticsearch for advanced job search capabilities
API Architecture
- API Gateway: Kong/Nginx for routing and rate limiting
- Microservices: Each component as independent service
- Message Queue: RabbitMQ/Redis for async processing
- Monitoring: Prometheus + Grafana for system metrics
Frontend Architecture
- Framework: Astro with React/Vue islands for dynamic components
- Styling: TailwindCSS for consistent design system
- State Management: Zustand/Pinia for client-side state
- Form Handling: React Hook Form/VeeValidate with validation
Deployment Architecture
Development Environment
- Local Development: Docker Compose for all services
- Database: Local PostgreSQL container
- External APIs: Mock services for development
Production Environment
- Cloud Provider: AWS/Digital Ocean/Vercel
- Container Orchestration: Docker + ECS/Kubernetes
- CDN: CloudFront/Cloudflare for static assets
- Monitoring: CloudWatch/DataDog for logs and metrics
Security Considerations
Data Protection
- Encryption: TLS 1.3 for data in transit
- Database: Encrypted at rest
- Personal Data: GDPR compliance for candidate information
- API Security: JWT tokens, rate limiting, input validation
Access Control
- Authentication: Multi-factor authentication for employees
- Authorization: Role-based permissions (Employee, Manager, Admin)
- API Keys: Separate keys for internal services
- Audit Logging: Complete audit trail for all data access
Scalability Considerations
Performance Optimization
- Caching Strategy: Multi-level caching (CDN, API, Database)
- Database Optimization: Read replicas, query optimization
- Background Processing: Async job processing for heavy operations
- Load Balancing: Auto-scaling based on demand
Growth Planning
- Horizontal Scaling: Stateless services for easy scaling
- Database Sharding: Plan for data partitioning if needed
- CDN Strategy: Global content distribution
- Monitoring: Proactive alerting for performance issues
Reacties