The Problem
A real-time weather analytics dashboard that helps teams monitor meteorological conditions and energy production with live updates every 5 seconds.
The Solution
Built to handle continuous data streams without performance degradation, enabling instant decision-making based on current conditions. The application provides interactive temperature visualization and energy production monitoring through multiple chart types, allowing users to identify trends and patterns in real-time.
Delivered a functional dashboard with real-time updates every 5 seconds, meeting all performance requirements with zero degradation over extended periods
Created an intuitive and responsive interface that works seamlessly across all devices, significantly improving user onboarding experience
Built interactive charts that enable detailed data analysis, helping teams identify trends much faster than manual monitoring
Technologies
Frontend
Other
APIs
Key Features
Real-time data transmission every 5 seconds via WebSocket connections
Temperature and energy production visualization with multiple chart types
Interactive charts with zoom, pan, and data point inspection capabilities
Responsive and optimized interface that adapts to all screen sizes
Reactive state management with RxJS observables and operators
Automatic updates without page reload or user intervention
Results & Impact
Delivered a functional dashboard with real-time updates every 5 seconds, meeting all performance requirements with zero degradation over extended periods
Created an intuitive and responsive interface that works seamlessly across all devices, significantly improving user onboarding experience
Built interactive charts that enable detailed data analysis, helping teams identify trends much faster than manual monitoring
Developed scalable and maintainable code following Angular best practices, improving code quality and maintainability
Technical Challenges
Implement real-time data updates without overloading the server or client.
Implemented WebSocket connection pooling and client-side data buffering to manage data streams efficiently, significantly reducing server load.
Optimize performance of multiple simultaneous charts rendering continuously.
Used RxJS operators for data throttling and implemented virtual scrolling for historical data, maintaining 60fps rendering even with 10+ active charts.
Maintain data synchronization between different components and views.
Created a centralized state management system using RxJS observables, ensuring real-time consistency across all dashboard components.
Ensure smooth experience on mobile devices with limited processing power.
Implemented adaptive rendering that reduces chart complexity on mobile, maintaining smooth performance while preserving core functionality.
Handle connection interruptions and implement reconnection logic.
Built automatic reconnection with exponential backoff and connection status indicators, ensuring high reliability even with unstable networks.
Manage memory efficiently with continuous data streams.
Implemented data windowing that keeps only the last 24 hours in memory, automatically archiving older data to prevent memory leaks.