A high-performance, scalable infrastructure framework for building low-latency applications with real-time capabilities.
- Ultra-low latency data processing pipeline
- Horizontally scalable architecture
- Real-time monitoring and metrics collection
- Automated testing and benchmarking
- Infrastructure as Code (IaC) with Terraform
- Comprehensive documentation
- Automated testing and deployment
- Infrastructure provisioning with Terraform
- Performance benchmarking
- Budget monitoring and alerts
- Resource cleanup
- Interactive visualization of performance metrics
- Support for multiple data sources (local files, API endpoints)
- Export charts as PNG, SVG, or PDF
- Real-time updates and filtering
- Responsive design for all devices
- Azure Dashboard integration
- PostgreSQL with Read Replicas: High-availability database with read scaling
- Connection Pooling: Efficient connection management with pg-pool
- Automatic Migrations: Versioned database schema migrations
- Query Builder: Type-safe query construction and execution
- Transaction Support: ACID-compliant transaction management
- Connection Retry: Automatic reconnection with exponential backoff
- Performance Metrics: Built-in query performance tracking
├── .github/workflows/ # GitHub Actions workflows
│ └── ci-cd.yml # CI/CD pipeline definition
├── infrastructure/ # Infrastructure as Code (Terraform)
│ ├── modules/ # Reusable infrastructure modules
│ ├── main.tf # Main Terraform configuration
│ ├── variables.tf # Variable definitions
│ └── outputs.tf # Output variables
├── scripts/ # Build and deployment scripts
│ ├── ci-setup.js # CI environment setup
│ └── teardown.js # Resource cleanup
├── services/ # Core services and business logic
│ └── database/ # Database access layer
│ ├── pool.js # Database connection pooling
│ ├── query.js # Query builder and executor
│ └── migrations/# Database schema migrations
├── docs/ # Documentation
│ ├── ci-cd.md # CI/CD pipeline documentation
│ └── db-role.md # Database architecture and patterns
├── monitoring/ # Monitoring and observability
├── testing/ # Test suites and test utilities
│ └── database.test.js # Database layer tests
└── dashboard/ # Analytics dashboard
├── index.html # Dashboard UI
└── dashboard.js # Dashboard logic and visualizations
For containerized deployment and local development, refer to the Docker Setup Guide.
- Node.js 18+
- npm 9+
- Terraform (for infrastructure provisioning)
- PostgreSQL 14+ (or compatible database)
- Redis 6+ (for caching)
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Clone the repository:
git clone https://github.com/OptimaCore/OptimaCore_RealTimeLowLatencyFramework.git cd OptimaCore_RealTimeLowLatencyFramework -
Install dependencies:
npm install
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Start the development server:
npm start
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Run tests:
npm testRun database tests specifically:
npm test tests/database.test.js -
Run database migrations:
# Create a new migration node services/database/migrations/migrate.js create migration_name # Apply pending migrations node services/database/migrations/migrate.js up # Rollback last migration node services/database/migrations/migrate.js down
-
Run linter:
npm run lint
-
Run benchmarks:
npm run bench
Key performance indicators (KPIs) are continuously monitored and optimized:
- Latency: < 10ms p99 for core operations
- Throughput: 100,000+ operations/second
- Availability: 99.99% uptime
- Query Performance: < 5ms p95 for read queries
- Connection Pool: < 80% pool utilization under load
- Replication Lag: < 100ms for read replicas
- Cache Hit Ratio: > 95% for Redis cache
For detailed documentation on specific components:
- Database Architecture - Data authority and denormalization strategy
- Database Migrations - Schema versioning and management
- Query Building - How to build and execute queries
This project is licensed under the ISC License - see the LICENSE file for details.
Contributions are welcome! Please read our Contributing Guidelines for details on our code of conduct and the process for submitting pull requests. ent