Top 5 Pitfalls of Developing and Deploying Smart Applications at the Edge

Efforts to derive value from Edge Computing and IoT continue to grow. In addition to the multitude of PoCs taking place in the Cloud, scaled up implementations are increasingly looking at local persistent data and the underlying device and gateway technologies that are evolving to accommodate this new design requirement. Central to this shift is the growth of developer communities around Android, iOS, embedded Linux and Windows, Intel/ARM and others, driving a surge of new applications with locally managed and analyzed data on IoT/OT edge devices and gateways. Considerations for metadata management, data movement, security, and governance of data associated with these apps, overhead for processing and packaging, and security concerns will require on-device and gateway persistent storage. Flat file systems and other prior tools don’t meet modern embedded data management platform or analytics requirements. Join us to hear how to deliver persistent data management at the edge. - Avoid the hassle and security complications that ETL between things, gateways and datacenters will create. - Experience a real-world demo in Python with source code samples showing how you can code once and deploy to multiple target platforms.