August 29, 2025

Monitor Health and Metrics for Apstra Flow Servers

You can view operational insights about the performance of flow servers associated with the controllers. The Apstra Cluster Health widget on the Dashboard page displays the total number of controllers within an Apstra cluster in the entire organization or a site group.

[See About the Dashboard Page.]

Support for Multiple Apstra Flow Servers for an Apstra Edge

A single Apstra Edge device can be configured to collect flow data from multiple Apstra Flow servers, each connected to different sites within the data center network. You can assign a dedicated flow server to each individual site, or configure a single flow server to receive data from a group of sites. When you adopt an Apstra Edge device on DC Assurance, you can also configure all the associated flow servers managing the sites in the network to the Edge device.

[See Adopt Juniper Apstra Edge.]

Support for Virtual Infra Health SLE

DC Assurance enables you to monitor and respond to anomalies in the virtual infrastructure in your data center. The Virtual Health Infra SLE provides information about config mismatch and hypervisor redundancy.

To obtain metrics about the virtual infrastructure in your data center, you must configure vCenter when you adopt Apstra Edge.

[See Service Level Expectations Overview.]

Change in Navigation to Impact Analysis Page

Navigation to the Impact Analysis page has changed. The Impact Analysis page has been moved under Assurance menu. To access the Impact Analysis page, click Assurance > Impact Analysis.

[See Impact Analysis Overview.]

Predictive Analytics (Beta)

As a network administrator, you can prevent potential anomalies and device failures in the network by utilizing the insights provided by the ML-based predictive analytics. The ML models analyze historical data points, predict future metrics, and recognize outliers in the forecasted data. This enables you to quickly take actions to prevent potential issues and avoid disruptions.

The Predictive Analytics feature identifies the services and clients that would be impacted by the forecasted outliers. It also displays the historical, current, and future metrics for specific devices in the topology.

Predictive Analytics can forecast and identify outliers related to system health with the device CPU and memory utilization metrics.

[See Predictions Overview.]