Client Journey depicts the current state of the network for the selected folder or floor. It provides an overview of various aspects of the client such as number of active clients, associations to the Wi-Fi, successfully authenticated clients, total number of clients connected to the network, and number of online clients.

You can hover the mouse over the different phases of the client journey to get additional information. For example, if you hover the mouse over the Authentication phase, a tool tip displays information such as percentage of authenticated clients, number of clients who failed to authenticate, type of authentication failure with the number of clients that failed to authenticate for a type of authentication.

You can click on the different phases to view detailed information of each phase. For example, if you click Association, you will be redirected to a page that provides detailed information of the client health displaying a list of clients that failed to associate.

Search Icon on Client Journey

You can search an active client by providing MAC address, IP address, user name or device name. You get the status of the last attempted connection, in the various phases of the active client, with a time stamp.

If the searched client is active and connected to an SSID of the selected folder or floor, you can view the status of the last attempted connection, in the various phases of the client connection with a timestamp. The following figure shows the various phases of the client connection:

The data on the widget can be filtered using the available filters on the top right corner of the widget. To know more about the filters refer Filters on Widgets.

The widget displays a horizontal bar graph depicting the top five locations that are affected by association, authentication, or network connection failure. The graph contains the data for the selected parent and its immediate child folders.

The graph shows the top five locations with highest connection failure percentage in decreasing order.

If you hover the mouse over a bar in the graph, the tool-tip displays the number of clients that are affected due to the connectivity failure with respect to the total number of clients associated to an AP at that location. When you click a bar, on that location, you are redirected to a page that has detailed information of the clients affected by the connection failure at that location.

You can select the failure type from the drop-down list given on the top-right corner of the widget. To know more about the Any failure filter refer Filters on Widgets.

Clients by Most Failed Connections lists the number of times a client failed to connect. The clients are listed in a decreasing order of failed attempts and then alphabetically.

The data is represented in tabular format displaying the name of the client that failed to connect and the total number of times the client failed to connect. Refer to the following widget for a sample listing.

When you click on the client name, you are directed to the Client connections log widget, where you get the detailed information of the failures. The maximum duration supported by the graph is 1 week and the minimum duration is 2 hours. You can select the duration from the drop-down list which is located at the top-right corner of the widget.

Client Health displays, for the selected folder or floor, clients that have Low RSSI, Low Data Rate, High Retry %, and those that are Sticky Clients. The Total Affected field shows the total number of clients on this folder or floor affected by these issues. Go to Dashboard > Performance to view the Client Health widget.

The values in the Client Health widget are clickable. For example, if you click the Low RSSI value, you will be redirected to a page that lists all the clients with low RSSI values and their relevant details. With reference to the image below, if the widget shows four clients with a low RSSI value, then on clicking the Low RSSI value, you will be redirected to a page that has detailed information of the four clients. The clients could be active or inactive. The information is updated every 2 minutes.

The Client Health widget lists the following:

Average latencies shows the average latency time (response time) taken by servers like DHCP, DNS, AAA and Network servers with respect to the clients that are present on a selected folder or floor.

When you click on a latency, you can view the baseline graph for that latency.

Clients by Average Data Rate is a widget that displays the average data rate consumed by the clients on the selected folder or floor.

Navigate to Dashboard > Performance to view the Clients by Average Data Rate widget. There are a number of clients accessing data through the Wi-Fi network. This widget calculates and displays a graph of the average data rate used by the total number of clients. You can set the threshold for the data rate.

Refer to Set Threshold for a Folder or Floor for more information on how to set a threshold value.

The data on the widget can be filtered using the available filters on the top right corner of the widget. To know more about the filters refer to Filters on Widgets.

Clients by RSSI is a widget that displays the average RSSI (dBm) of the clients on the selected folder or floor.

Navigate to Dashboard > Performance to view the Clients by RSSI widget. Clients accessing the network can have varied RSSI levels. This widget calculates and displays the average RSSI used by the total number of clients. You can set the threshold for RSSI.

Refer to Set Threshold for a Folder or Floor for more information on how to set a threshold value.

Clients with Most Traffic widget displays a bar chart showing clients with highest data usage. The data shown is for clients on the selected folder or floor.

Top 5 clients names with highest data usage in a network are listed in decreasing order. When you click on the name of the client you are redirected to the Client details page where detailed information of the client activities is presented. If you hover the mouse over the list, you can view the total amount of data used by a client. You can select the duration from the drop-down list that is located on the top-right corner of the widget.

The data on the widget can be filtered using the available filters on the top right corner of the widget. To know more about the filters refer to Filters on Widgets.

The widget displays a horizontal bar graph depicting the top five locations and their clients, that are affected by poor performance of Wi-Fi network. The graph contains the data for the selected parent and its immediate child folders.

Top 5 locations with poor performance issues, on the selected folder or floor is listed in a decreasing order.

If you hover the mouse over the bar in the chart, the tool-tip displays the number of clients affected by poor performance with respect to the total number of clients on that location. When you click on a bar you are redirected to a page that lists all the clients that are affected by poor performance. For example, if you click the Low RSSI value, you will be redirected to a page that lists all the clients with low RSSI values and their relevant details at that location.

You can select the type of factor from the drop-down list given on the top-right corner of the widget.

The data on the widget can be filtered using the available filters on the top right corner of the widget. To know more about the filters refer to Filters on Widgets.

You can access the Network Usage chart in two different ways from CV-CUE UI. If you access the chart from the performance dashboard, it displays a line graph showing the number of clients associated with the SSID and its traffic volume, for all the clients on the selected folder or floor. Whereas when you access the chart through AP drill down, it displays similar data, but this time for the selected AP.

If you hover over the graph, a tooltip providing quick information like timestamp, the number of clients associated and the used traffic volume appears.

You can view or retrieve data using the filters. To know more about these filters refer to Filters on Widgets.

The data of the network usage chart can be filtered based on two parameters; a client's data and the amount of data used by an application.

Drill down on the data point on the graph, redirects you to the page containing client connections table. This table contains the list of all the client connections along with their detailed information for the selected timestamp. For client details, refer to Filtered Network Usage Chart.

Navigate to Dashboard > Applications to view the Application Experience chart. You can monitor the performance of web-based enterprise applications (such as Email applications, HR and Project Management applications, Intranet, Online Drive, and others) along with VOIP-based applications such as Zoom, Hangouts, and others. Arista APs capture essential details of the TCP flows of a web application and send it to the server to determine the health of the application. If the overall health is calculated as poor, CV-CUE displays the percentage of application experience for the duration. A lower percentage indicates a poor application experience whereas a higher percentage indicates a good application experience.

By default, the most affected or most used applications are shown in a card view in the Dashboard > Applications tab. If you have a preference for specific applications, you can also pin them to the Application Experience widget.

In each card, the red bar indicates the percentage of poor application experience, whereas the green bar indicates the percentage of good application experience. If we take the case of Google APIs and Youtube in the above image, the Google API users faced poor application experience 56% of the time, whereas the YouTube users faced poor application experience 30% of the time.

You can also view the application health for a specific SSID using the SSID filter (It is set to “All SSIDs” by default). Select All SSIDs to see a graph of the aggregated data for all SSIDs and all applications.

On the landing page of Applications Dashboard, the Application Experience widget displays only 5 applications out of 25 in a card view. To see the card view of all 20 applications, click Show All.

You can choose which applications you want to view on the landing page by pinning your desired applications. To pin the applications on the Dashboard landing page for default view, click Show All in the Application Experience widget. Pin the application using the Pin button.

If you don not pin any applications, then CV-CUE displays the applications based on its usage or application experience. Use the Most Affected or Most Used filter to view the applications without pining them.

Access Points by CPU Utilization chart depicts the number of APs based on their utilization range.

Hover over the bar to get the number of APs in a particular range. You can also click the bar to view more details about the APs.

A yellow bar denotes APs having utilization more than the threshold. The threshold is calculated by the following formula.

Threshold = (mean utilization of all the APs + standard deviation *2)

APs with utilization higher than the calculated threshold are marked with the yellow bar. And all the APs with utilization of more than 80% are marked with red bar.

Access Points by Memory Utilization chart depicts the number of APs based on their utilization range.

Hover over the bar to get the number of APs in a particular range. You can also click the bar to view more details about the APs.

A yellow bar denotes APs having utilization more than the threshold. The threshold is calculated by the following formula.

Threshold = (mean utilization of all the APs + standard deviation *2)

APs with utilization higher than the calculated threshold are marked with the yellow bar. And all the APs with utilization of more than 80% are marked with red bar.

Trend Utilization chart depicts the trend of average CPU and Memory Utilization of all APs installed at the selected location. The trend chart shows 25, 50 and 75 percentile utilization of the APs. The trend chart uses comparative data and not the absolute data to depict percentile utilization.

A change in the trend during a particular time duration can help administrators identify network issues or time frames when network congestion is highest.