In this session, we will explore how integrating EdgeLake, an LF Edge project, with OpenTelemetry transforms edge data management and observability. EdgeLake offers a plug-and-play solution for processing data directly at the edge, removing the need for centralized cloud systems. This approach reduces latency, enhances security, and optimizes costs.

OpenTelemetry, an open-source observability framework, enables monitoring, tracing, and metrics collection across distributed systems. When integrated with EdgeLake, it enhances visibility into edge data flows, helping organizations gain real-time insights and make data-driven decisions.

This session will demonstrate how decentralized edge solutions, combined with OpenTelemetry, provide end-to-end visibility, better fault tolerance, and optimized performance for edge applications. By eliminating cloud dependencies, businesses can scale, improve reliability, and ensure data autonomy.

Attendees will learn how to deploy EdgeLake with OpenTelemetry in industrial IoT, smart city projects, Oil & Gas and more, enhancing data observability, system performance insights, and proactive management of edge infrastructure.