Overview

note this documentation is for litmus edge version 3 16 0 and later for earlier versions, see overview docid\ hfdx2rvl7tk zmyi0rby9 litmus edge is an industrial edge data platform that allows you to collect, analyze, and act on real time data at the edge it offers out of the box support for a wide range of native drivers for industrial devices, control systems, robotics, and other industrial assets once the device data is collected, litmus edge normalizes it and enables data sharing with any edge environment, big data platform, cloud, or enterprise system both raw and processed data are normalized to enable visualization and analysis at the edge regardless of the data source (device type) you can access litmus edge using any of the following web ui (user interface) terminal user interface rest apis security litmus edge is built with security at every step to address the unique challenges of industrial iot it offers deployment security litmus edge supports offline first and air gapped installation authentication and authorization enterprise ready authentication, authorization, and rbac (role based access control) policies the litmus edge user interface is only accessible with a login and password platform access security protected and modern https web interfaces ldap / ad authentication litmus edge ldap and ad settings allow you to integrate the login system with an external authentication registry certificate management litmus edge includes a default self signed certificate and therefore all communications are secure by default encryption all communication between a litmus edge device and a user’s browser are protected by transport layer encryption, which uses ssl/tls software update an over the air update system delivers updates remotely and ensures their security with thorough verification checks token based security provides token based security for apps authentication data access security secure and isolated message broker for real time data subscription functionality litmus edge allows you to do the following securely collect data from any industrial device normalize the collected data process, analyze, and store data at the edge run container based applications on top of the data support time series analysis using ready analytics and kpis easily build flows for configuration and analytics integrate edge systems with cloud or enterprise systems, including big data frequently asked questions refer to our litmus edge faqs docid\ wrv74x 4ubbgqn xskigq