The Objective
For applications in energy, finance, or IoT, reliable real-time data monitoring is paramount. When a central dashboard cannot keep pace with thousands of live data updates per second, it creates an unacceptable operational risk. The objective is to build a UI that remains fluid and responsive under extreme data loads, ensuring operators can monitor critical systems without interruption.
Architectural Approach: A Component Engineered for High-Performance
The solution requires identifying the primary UI bottleneck, which is almost always the datagrid component. A successful implementation depends on choosing a commercial-grade grid specifically built to handle high-frequency data streams.
- Targeted Replacement: Replace the underperforming grid with a component like Wijmo's FlexGrid, which is engineered for "Performance Without Compromise."
- Advanced Virtualization: The key to performance is a virtualization engine that only renders the DOM elements for visible cells. This drastically reduces the browser's workload and allows for lightning-fast, real-time updates.
- Optimized Data Binding: Ensure the grid can be bound to streaming data sources without triggering a full UI refresh on every update, preventing UI lag.
Blueprint Summary
- Identify and replace the specific UI component causing the performance bottleneck.
- Choose a datagrid component specifically designed and optimized for real-time, high-frequency data streams.
- Leverage advanced UI virtualization to maintain a responsive dashboard, even with massive data volumes.
- Avoid costly custom development by using a proven, commercial-grade component.