In today's rapidly evolving industrial technology landscape, developers face multifaceted challenges. Beyond integrating various industrial protocols, they must implement Edge AI capabilities, ensure system reliability, and maintain security while enabling scalability. The WEDA development ecosystem emerges as a comprehensive solution to these challenges, providing an integrated development environment that enables developers to focus on creating value through advanced applications rather than struggling with technical complexities.

WEDA Foundational Pillars

The WEDA development ecosystem is built upon two fundamental pillars: WEDA Node, and WEDA Core. These pillars work in synergy to create a powerful and flexible development environment particularly optimized for industrial computing and Edge AI applications.

WEDA Node

WEDA Node ensures application consistency and portability while providing flexible scaling capabilities. Developers can easily migrate applications between environments while maintaining consistency across development, testing, and production environments. This containerized approach is especially valuable for Edge AI applications, where it significantly accelerates development cycles by providing pre-configured environments with optimized AI frameworks and tools.

WEDA Core

The WEDA Core serves as a powerful interface that empowers developers with granular control over their industrial computing environment. This RESTful API suite enables comprehensive device management, real-time system monitoring, container orchestration, and automated deployment capabilities. Through the WEDA Core, developers can:

• WEDA MCPs: Streamline the deployment process with API-driven workflows for application updates and rollbacks
• Data Management: Collect real-time metrics on hardware performance, resource utilization, and system health status
• Container Management: Create, deploy, and orchestrate containers across distributed industrial computing environments
• Device Management: Remotely configure, update, and monitor industrial computers and edge devices through standardized API calls

By leveraging the WEDA Core, developers can integrate device and container management directly into their own applications, enabling powerful automation and remote management capabilities particularly valuable for distributed Edge AI implementations.