As environments, workloads and AI training becomes more and more distributed so does the need for tracing, logging and monitoring to support safety, security, availability and resilience. This session introduces a Validated Pattern approach to Edge Observability where CTO's, product teams, engineering, system integrators, ISVs and customers come together to ease deployment of a common observability infrastructure. Apart from infrastructure monitoring with regards to compute and memory utilization a leading practice also supports metrics around power consumption to support sustainabilty efforts, as well as the enabling of workload specific observabilty. This session is also an open invitation for interested parties to join to evolve our open source approach to making observability accessible to everyone interested in edge, distributed and federated environments. We will be walking through the associated git repo, the components and a roadmap of planned features.

The convergence of Generative AI and Data Mesh architecture is redefining enterprise observability. While Generative AI provides intelligent insights and predictive capabilities, Data Mesh empowers organizations with a decentralized, domain-driven approach to data management. Together, they unlock the full potential of edge-to-cloud systems, driving faster decision-making and proactive operations.
This presentation explores how combining Generative AI with Data Mesh architecture can:
Deliver advanced anomaly detection and predictive analytics at scale.
Automate root-cause analysis across decentralized data domains.
Synthesize complex telemetry data into actionable insights for diverse teams.
Enable domain-focused observability with real-time, AI-powered insights.
Through practical examples and strategies, attendees will discover how Generative AI and Data Mesh work synergistically to enhance observability, streamline incident response, and foster a resilient, intelligent enterprise ecosystem.
Join us to explore the next frontier of observability, powered by Generative AI and Data Mesh architecture.