WHAT TO EXPECT
In this section, users will learn how to navigate the wXcked Eye Topology Table. Similar to the Topology Graph, the table organizes statistics by either Streams or Channels in a tree view.
Locating the wXcked Eye swXtch Topology Table page
To navigate to the swXtch Management page, users will need to click on the menu (≡) option at the top left-hand corner by the swXtch.io logo.
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From there, select Topology Table.

Using the wXcked Eye Topology Table
The wXcked Eye Topology Table provides users with an alternative way of viewing how data flows in and out of their cloudSwXtch. Instead of a Topology view with nodes and stream links, the table organizes streams and channels in a tree view, where they can easily see the origin of the data flow and how it moves through different components. This gives users a more focused look into a single stream or channel.
Streams
In the example below, the user is viewing a list of streams. Similar to the Topology Graph, a user can filter specific streams, consumers, and producers. The list will adapt to those selections. This can be helpful when dealing with a large number of line items.
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Each item in the stream list can be expanded to reveal a tree-level view of the data flowing through the various components. The stream called H.264_Stream is expanded to show how data flows through the various cloudSwXtch components. Starting from the producer 4, the stream moves through the cloudSwXtch, where the stream fans out into multiple endpoints.
Selecting the Topology button next to the component name will reveal a visualization similar to the Topology graph up until that point.
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Channels
The Channels view organizes channels into a similar list for the Topology table. However, one big difference is that the number of streams associated with a single channel is also displayed. The table will list those streams in a tree view, displaying how they progress through the various cloudSwXtch components. In the example below, the P1 channel has been expanded, revealing the stream called H.264_Stream with a topology graph view of data flow. Note that, for example, the cloudSwXtch is listed 4 times, but it is only one cloudSwXtch; it is in the flow, receiving and sending different streams 4 times. You can also easily see the change in the stream via the color assigned to the multicast group.
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NOTE
In the Channels view example above, the cloudSwXtch node repeats. This does not mean that multiple cloudSwXtches are being used but rather the stream is flowing back and forth to the same cloudSwXtch.