NetAlly Releases Private Edition of Link-Live Collaboration, Reporting and Analysis Platform
On-premise/private cloud deployment for NetAlly’s Link-Live service provides same functionality for organizations with “no cloud” policies
NetAlly announced the availability of a containerized version of their Link-Live cloud service, for licensed on-premise server or private cloud installation. Until now, organizations with “no cloud” policies were unable to take full advantage of the many capabilities in Link-Live.
Latest Aithority Insights: AiThority.com to Attend The Character of AI – A Technology Ethics Conference (Virtual)
Serving as a centralized site survey, test results, analysis, and tester management system, Link-Live transforms team workflows with the ability to quickly and easily log, document, and report test activity from all NetAlly hand-held network testers and analyzers.
“Link-Live has evolved from a basic repository and reporting engine for test results from our instruments to an in-depth network analysis and management platform,” says James Kahkoska, NetAlly CTO. “Over time,” Kahkoska adds, “the addition of Wi-Fi and Bluetooth site surveys, network topology mapping, in-depth analysis, and real-time collaboration tools has made Link-Live a key part of our customers’ network management arsenal, but one that could not be used by public cloud-averse organizations.”
AI and ML News: AI: Continuing the Chase for Brain-Level Efficiency
Link-Live Private is available as downloadable software with an accompanying annual subscription. Utilizing Docker Compose, it is easily installed on Linux-based servers, and is has no limitation in terms of number of users, test results.
Once the instrument is connected to the Link-Live server, test results are automatically uploaded to the dashboard for project management, analysis, collaboration and reporting. Users also have the option of uploading additional files, screenshots, images, profiles, packet captures, location information, and comments.
AI ML in Marketing: AI and Big Data Analysis Used to Find Brands’ Emotional Connection
[To share your insights with us, please write to sghosh@martechseries.com]
Comments are closed.