Cluster
Cluster Overview
Clusters with highest allocated and utilized costs in K8s. The allocated cost is calculated based on CPU and Memory Request, while the utilized cost is calculated based on CPU and Memory Usage.

By hovering the mouse over the bar representing the Cluster, the system will display an overview of the values relating to the Cluster.
Cluster
Network Cost
Allocated Cost
Compute Cost
Idle
By clicking on the "View more information Clusters " option, the system will display the Cost Details by Cluster screen.

By clicking on the Filters icon, as shown below:

The system will display all label options collected from the observability platform, allowing you to apply the desired filter field to the Cluster.

When selecting the desired field, you will be able to provide more information about the filter field, such as:
Enable the negative expressions option if you want to work with a result different from the one reported.
Is greater than: In this case, the reference value must be informed so that the system returns the greater options.
is less than: In this case, the reference value must be informed so that the system returns the smallest options.
is greater than or equal to: In this case, the reference value must be informed so that the system returns options greater than or equal to.
is less than or equal to: In this case, the reference value must be informed so that the system returns options that are less than or equal to it.

Finally, by clicking the Save button, the system will display the added filter:

By clicking on the Metrics option, the system allows you to select the metrics options you want to view in the report:

Below, you can view the report and, by clicking on the Cluster:

The system will display the Details by Cluster screen, containing the following information:
Resource Information:
Nome do Cluster
Allocated Cost
Total Cost Used (CPU and Memory)
Network Usage Cost
In addition to a graph of CPU and Memory Used vs. Allocated Cost per hour of Cluster usage

Further on, we will present more detailed information about:
Pods
CPU
RAM Memory
Network
Nodes
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