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# Project Phoenix - Technical Documentation ## Overview Project Phoenix is a next-generation workflow automation platform designed to streamline enterprise data processing. This document provides a comprehensive technical reference for developers and system administrators. ## System Architecture The platform utilizes a microservices-based architecture deployed across containerized environments. The core components include: - **API Gateway** - Handles all incoming requests and manages rate limiting - **Data Processing Engine** - Executes transformation pipelines in parallel - **Storage Layer** - Combines relational and document-based databases - **Message Queue** - Facilitates asynchronous communication between services ## Installation Requirements Before deploying, ensure your environment meets the following specifications: 1. **Operating System** - Ubuntu 22.04 LTS or newer 2. **Runtime** - Node.js version 18 or higher 3. **Database** - PostgreSQL 14 with the TimescaleDB extension 4. **Memory** - Minimum 8 GB RAM for production workloads ## Configuration Parameters The system reads configuration from environment variables or a dedicated config file. Key parameters include: | Parameter | Default Value | Description | |-----------|--------------|-------------| | PORT | 8080 | HTTP server port | | LOG_LEVEL | info | Logging verbosity level | | MAX_RETRIES | 3 | Maximum retry attempts for failed jobs | | CACHE_TTL | 3600 | Cache expiration time in seconds | ## API Endpoints ### Authentication All requests require a valid bearer token. Obtain credentials from the admin console. ### Core Routes - **POST /api/v1/process** - Submit a new data processing job - **GET /api/v1/jobs/{id}** - Retrieve job status and results - **DELETE /api/v1/jobs/{id}** - Cancel a pending job ## Error Handling The system uses standard HTTP status codes. Common error responses include: - **400 Bad Request** - Invalid payload structure - **401 Unauthorized** - Missing or expired authentication token - **429 Too Many Requests** - Rate limit exceeded - **500 Internal Server Error** - Unexpected system failure ## Deployment Guide Follow these steps for a standard production deployment: 1. Clone the repository from the internal Git server 2. Run the dependency installation script 3. Configure environment variables in the .env file 4. Execute database migrations 5. Start the service using the process manager ## Monitoring and Logging The platform integrates with Prometheus for metrics collection and Grafana for visualization. Key metrics to monitor include: - Request latency percentiles - Queue depth and processing throughput - Error rate by endpoint - Resource utilization across nodes ## Security Considerations Implement the following security measures in production: - Enable TLS for all external communications - Rotate API keys on a 90-day schedule - Restrict database access to private network segments - Audit all administrative actions through the logging pipeline ## Troubleshooting Common issues and their resolutions: **Issue** - Jobs stuck in queued state **Resolution** - Verify the message queue service is running and check consumer group health **Issue** - High memory consumption **Resolution** - Adjust the JVM heap size or reduce batch processing limits **Issue** - Authentication failures **Resolution** - Confirm the token expiration policy and synchronize server clocks ## Support For additional assistance, contact the platform engineering team through the internal ticketing system. Include the job ID and relevant log excerpts for faster resolution.