
Kube Tally Chargeback Sales Discovery Call
Introducing KubeTally!
Challenges today: Accurately attributing resource consumption to business units or teams is crucial for operational efficiency and cost management. Existing tools like Kubecost offers visibility but is unable to effectively isolate and attribute costs across multi-cluster deployments,
Solution: This is where Kube Tally comes in as the only solution with advanced multi-cluster capabilities for accurate chargeback attribution. This capability addresses the challenges posed by shared resources and complex namespace tracking, ensuring fair and transparent chargeback practices across the organization.
Check out these features Namespace Sameness, Resource Utilization Dashboard, and Node Utilization Insights below.

Namespace Sameness Across Clusters:
KubeSlice ensures namespace sameness across
multiple clusters, allowing the same namespace, in different clusters, to be added to the Slice with ease. This makes onboarding namespaces and applications easy across multi-cluster
Resource Utilization Dashboard:
The KubeSlice dashboard shows details on resource utilization across a multi-cluster deployment. It shows resource metrics such has number of pods, CPU, memory, and ephemeral storage for each Team, over a period of time.


Manage K8s Resources using UI:
KubeSlice's "Manage Resources" feature allows teams to define resource limits per Slice, ensuring “requests” and “limits” for every namespace or at an aggregated Team level. Setting these limits using K8s native commands is cumbersome. The KubeSlice UI thus make these parameters easily accessible. Enabling teams to not exceed their cloud costs.
Node Utilization Insights:
The node utilization feature in KubeSlice provides a detailed view
of how resources are used at the node level for multi-cluster environments, aiding in
optimizing resource allocations within a cluster.

Multi-Cluster
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Multi-Cloud
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Namespace
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Resources:
Product Sheet:
Product Sheet:
Begin saving today with KubeSlice!
Next Steps: Book a Discovery Call to learn more about KubeSlice
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