Version 1.3.0 delivers a significant boost to the internal efficiency of the Proxus Platform, specifically targeting memory management and raw processing speed for large-scale industrial data.
Performance & Memory Efficiency
- Advanced Allocation Pooling: Optimization Implemented a new internal memory management system that pools and reuses frequently used data structures, drastically reducing system pressure and eliminating interruptions during heavy data processing.
- Zero-Allocation Data Filtering: Optimization Re-engineered the platform's core filtering engine to process industrial data streams without creating temporary memory objects, ensuring sustained performance in high-frequency environments.
- High-Density Data Caching: Optimized the real-time data layer to efficiently handle significantly larger Unified Namespace (UNS) trees without increasing the hardware footprint.
Orchestration & Deployment
- Streamlined Edge Deployment: Improved Removed several legacy architectural dependencies, allowing for much faster and lighter horizontal scaling of edge gateways across distributed locations.
- Refined Data Services: Enhanced the synchronization logic between distributed gateways and the central server to improve configuration delivery speeds by over 40%.