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Real-Time Automation & Strategy Execution Platform
Designed and developed a real-time automation platform capable of processing live events, executing configurable strategies, and managing high-frequency decision workflows.
Javascript
Problem
Organizations that rely on real-time data streams often struggle to automate repetitive decision-making processes while maintaining flexibility and performance. Manual monitoring and execution can lead to delays, missed opportunities, and inconsistent outcomes.
The client needed a scalable automation platform capable of processing live events, executing custom strategies, and providing real-time visibility into system performance.
Solution
Built a Real-Time Automation & Strategy Execution Platform that enables users to create, manage, and execute custom automation workflows based on live event data.
The platform features a flexible scripting engine that allows users to define custom rules and execution logic using JavaScript. Incoming events are processed in real time, evaluated against configured strategies, and automatically trigger actions when conditions are met.
A centralized dashboard provides live monitoring, analytics, and execution tracking, allowing users to optimize performance and manage automation workflows efficiently.
Product Screenshots
The platform follows an event-driven architecture where real-time data streams are processed through a Node.js backend and distributed via WebSockets. Automation rules are executed through a custom strategy engine, while PostgreSQL stores configuration and historical activity data. Redis is used for caching and queue management, ensuring low-latency execution and high system throughput.
Features
- Real-time event processing
- Custom strategy engine
- JavaScript-based scripting support
- Rule-based automation workflows
- Live activity monitoring
- Execution history and analytics
- User and role management
- Dashboard and reporting tools
- WebSocket-powered real-time updates
- Configurable automation triggers
Technologies
- Frontend: React
- Backend: Node.js
- Database: PostgreSQL
- Caching & Queue: Redis
- Communication: WebSockets, REST APIs
- Infrastructure: Docker, AWS
Result
The platform significantly reduced the need for manual monitoring and intervention by automating repetitive decision-making processes. Users gained the ability to deploy custom strategies, process large volumes of real-time events, and monitor system performance through a centralized interface.
This project demonstrates expertise in event-driven systems, real-time application development, automation architecture, custom scripting engines, scalable backend services, and cloud-based deployment.