Aerohive Networks†(NYSE: HIVE), a Cloud†Networking leader, has introduced a new Machine Learning Network Comparative Analytics capability for real-time and historical view of well-known key performance indicators (KPI) for the network.
Network 360 is being built out via a Continuous Delivery development model throughout October, November, and December 2018 and will be available in all of Aerohive’s deployment options when completed (Public Cloud, Private Cloud, and On-Premises). Network 360 leverages Aerohive’s true microservices Cloud architecture and native Machine Learning capability to collect, process, and analyze vast amounts of network and client generated data and then distils it down to consumable and actionable insights for IT. Network 360 tracks the network health and performance using an intuitive time-slider that adjusts for day, week, and month views of the key performance indicators for:
- Devices Health
- Clients Health
- Wi-Fi Health
- Network Health
- Services Health
- Application Health
Aerohive pioneered Cloud Networking to radically simplify licensing, deploying, monitoring, scaling, and upgrading access points, switches, and branch routers for the distributed enterprise. With Network 360 Aerohive has now extended its Cloud Networking leadership and native Machine Learning capability to radically simplify an IT administrator’s ability to view the key performance indicators of their network and if need be, to quickly identify, locate, and comparatively assess the context of an issue.
