Webinar Replay
Industrial operations generate telemetry at millisecond intervals across thousands of sensors — but legacy historians, fragmented protocols, and disconnected OT/IT systems leave teams unable to access or act on that data in real time. The result: delayed visibility, costly downtime, limited scalability, and stalled predictive maintenance initiatives.
Join Litmus, InfluxData, and AWS for a live look at a production-ready edge-to-cloud architecture built to remove those bottlenecks. Litmus Edge connects natively to 250+ industrial protocols and normalizes data at the source. InfluxDB 3 Enterprise delivers high-performance ingestion, real-time analysis, and cost-efficient storage. Running on AWS, the architecture scales elastically — from a single site to a global fleet — without sacrificing data fidelity, performance, or cost control.
We'll walk through the architecture and demonstrate the integration live, showing how industrial teams can eliminate data silos, detect anomalies earlier, predict equipment failures faster, and build the data infrastructure needed for AI-driven maintenance and autonomous operations.
