Kubernetes Cost Optimization in CloudSpend offers deep visibility into containerized cloud environments like EKS, AKS, and GKE. It allocates costs at node, pod, cluster, and namespace levels, helping teams identify idle resources, over-provisioned workloads, and storage inefficiencies. With real-time metrics and smart insights, you can fine-tune autoscaling, use spot instances, and control costs with precision. This feature enables teams to match resource allocation to actual usage, ensuring optimal performance without overspending—making Kubernetes deployments both cost-effective and scalable across multi-cloud ecosystems.
In the cloud-native era, Kubernetes has become the go-to solution for container orchestration, offering flexibility, scalability, and efficiency. However, managing costs can be challenging as Kubernetes environments grow in complexity.
Amazon Elastic Kubernetes Service
Google Kubernetes Engine
Azure Kubernetes Service
CloudSpend assigns costs using Kubernetes-specific tags, like Nodes and clusters. This detailed cost allocation allows for precise expense tracking, ensuring that costs are correctly attributed to the appropriate projects or teams within your multi-cloud environment.
