Arista CloudVision CV-CUE

Arista CloudVision CV-CUE (Cognitive Unified Edge) is the network management platform for the Arista Cognitive Campus and Cognitive Wi-Fi product families, providing centralised lifecycle management across both wired campus switches and wireless access points from a single interface. The management architecture is built around a cloud-based analytics engine that continuously baselines network behaviour using historical telemetry data (association patterns, RF channel utilisation, client roam events, application latency) and uses machine learning to identify anomalies and generate root cause analysis reports when client experience degrades. Rather than presenting raw event streams that require an operator to diagnose manually, CV-CUE correlates events across the wired and wireless layers to identify the specific configuration change, hardware fault, or RF event that caused the degradation and surfaces that finding directly to the operator.

Two deployment models are available: a fully managed cloud subscription where Arista operates the management infrastructure, and an on-premises CVP Cluster deployment where the customer installs a 3-node cluster on their own hardware running Alma Linux. The Standard CVP Cluster configuration (28 vCPUs, 52 GB RAM, 2 TB storage per node) scales to 250 managed switches and 3,000 APs, sufficient for mid-to-large campus deployments. The Extended configuration (70 vCPUs, 116 GB RAM, 6 TB storage per node) extends that ceiling to 1,000 managed switches and 5,000 APs, covering large enterprise and university campus deployments that cannot use the cloud subscription model due to data sovereignty, air-gap, or uptime requirements. Remote packet trace capture allows operators to collect wireless frames from a specific AP and client at a remote branch without dispatching a technician on-site.