Intelligent OT-Data Pipelines - Machines to Clouds - Tom Arthur, Dianomic

Intelligent OT-Data Pipelines - Machines to Clouds - Tom Arthur, Dianomic Operational Technology (OT) data is different. This keynote will overview Project Fledge, its architecture, how it addresses OT data's unique requirements and how open source is building the automated factory. The physical distribution of machines, processes and factories can not run in a cloud. The sources, types, formats and destinations of OT data are many. The applications and users of OT data are diverse. The physical environments from sources to destinations can be challenging. OT applications that require data pipelines must be able to operate from machine edge to clouds at scale. The beginning and ending of flows is usually determined by physical source/destination locations, latency, data volumes, application processing requirements, control, security, compliance and costs. Unlike typical cloud-based pipelines, intelligent OT-data pipelines enable distributed edge application development and operation too. Combined, OT must have scalable, secure, reliable, managed data pipelines from machines to clouds and back, for OT-IT convergence and to realize the goals of 21st century industrial transformations. For more information about fostering collaboration and innovation across the entire open networking stack — from the data plane into the control plane, to orchestration, automation, end-to-end testing, and more see https://www.lfnetworking.org/ or https://www.lfedge.org/