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In a scaled 800-node cluster, running the starboard-operator with KE results in 1600 pods being created for kube-bench. Since kube-bench is an internal Aqua component, its evaluation can be safely skipped. By excluding kube-bench from the starboard-operator's scope, we can reduce the overall memory consumption of the starboard-operator, optimizing its performance in large-scale environments.

In a scaled 800-node cluster, running the starboard-operator with KE results in 1600 pods being created for kube-bench. Since kube-bench is an internal Aqua component, its evaluation can be safely skipped. By excluding kube-bench from the starboard-operator's scope, we can reduce the overall memory consumption of the starboard-operator, optimizing its performance in large-scale environments.
@mjshastha mjshastha merged commit f0ba32a into main Feb 27, 2025
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@mjshastha mjshastha deleted the excludeKBres branch February 27, 2025 07:32
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