Kubernetes
Cost Management, Optimization, Allocation & FinOps
Kubernetes is the backbone of modern cloud-native infrastructure — but its flexible, shared-resource model makes cost visibility and accountability exceptionally difficult. Workloads share nodes, namespaces overlap team boundaries, and cloud billing has no awareness of what’s running inside a cluster. AquilaClouds Andromeda™ brings Kubernetes-native cost intelligence into your FinOps workflow — enabling teams to see, allocate, optimize, and govern every dollar spent on containerized workloads across any cloud or on-prem environment.
Kubernetes Cost Visibility Built for Engineering and Finance Teams
What teams can achieve with Andromeda on Kubernetes
Cluster-level cost breakdown across EKS, GKE, AKS, OKE, and self-managed Kubernetes
Namespace, workload, pod/container, and label-level cost allocation
Idle and wasted resource detection — unscheduled capacity, oversized requests, and underutilized nodes
Cost allocation and chargeback to users, teams, products, and cost centers using Kubernetes dimensions like namespaces, labels, and others
Node pool and instance type cost optimization recommendations
Budget thresholds and alerts by user, namespace, team, or cluster
Rightsizing recommendations for CPU and memory requests and limits
Agent Sherlock conversational queries for real-time Kubernetes cost intelligence
Kubernetes Use Cases & Value
How AquilaClouds Andromeda™ supports Kubernetes
Shared infrastructure, no native cost attribution
Kubernetes clusters run multiple workloads from multiple teams on shared nodes. Cloud billing tells you how much you spent on compute, not which team, namespace, or application drove that spend. Andromeda applies allocation models to distribute actual cloud costs to the workloads and teams responsible, using real usage data rather than estimates.
Idle and wasted capacity is invisible
Over-provisioned resource requests, underutilised nodes, and unscheduled capacity silently inflate Kubernetes bills. Andromeda surfaces idle resources and capacity at the workload, node, and cluster level — giving platform and FinOps teams the data to act on rightsizing and consolidation opportunities before they compound.
No standard FinOps tooling for container costs
Traditional cloud cost management tools stop at the VM boundary. They cannot see inside a cluster. Andromeda bridges the gap between cloud billing and Kubernetes workload reality — providing the unified view that FinOps, engineering, and finance teams need to govern container spend with the same rigor applied to cloud infrastructure.
Chargeback is manual and error-prone
Without automated cost allocation tied to Kubernetes labels,namespaces and other dimensions, chargeback is built in spreadsheets and updated monthly. Andromeda automates the mapping of Kubernetes costs to cost centres using existing dimensions— eliminating manual work and keeping allocation accurate as workloads change.