Kubernetes
Kubernetes Cost Management
Finout provides full visibility into Kubernetes costs by connecting cluster resource usage with the underlying cloud infrastructure costs. This allows organizations to allocate shared cluster spend accurately, identify inefficiencies, and understand the true cost of running applications in Kubernetes.
By combining infrastructure billing data with Kubernetes usage metrics, Finout calculates cost at a granular level and makes it accessible across the Finout platform. Teams can analyze Kubernetes spend by cluster, namespace, workload, labels, and other dimensions, enabling both engineering and finance stakeholders to understand where costs originate and how they can be optimized.
Finout’s Kubernetes cost management helps organizations:
Allocate shared cluster costs across teams, services, and environments
Understand cost drivers from cluster level down to individual workloads
Identify waste and optimization opportunities, including idle resources and inefficient resource requests
Align engineering and finance with a consistent, shared view of Kubernetes spend
Supported Kubernetes Platforms
Finout supports cost allocation and analysis for the following managed Kubernetes platforms:
Amazon EKS
Google Kubernetes Engine (GKE)
Azure Kubernetes Service (AKS)
Supported Metrics Sources
Finout relies on usage metrics to determine how cluster resources are consumed. These metrics can be provided through multiple supported monitoring systems.
Prometheus-based sources
Additional monitoring platforms
These integrations allow Finout to retrieve CPU,memory and network usage and request metrics required to accurately distribute cluster infrastructure costs across Kubernetes workloads.
Explore the Kubernetes Documentation
The following pages explain how Kubernetes cost allocation works in Finout and how to connect your monitoring systems to start analyzing Kubernetes costs.
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