Overview

• Resource exporter: watches every Kubernetes resource (workloads, nodes, namespaces, and more) and exports their definitions to CostGraph.
• Operational/Compute Metrics scraper: scrapes cluster, host, and container metrics and remote-writes them to CostGraph.
• Network Metrics scraper: scrapes container network metrics and, optionally, host-process network metrics, then remote-writes them to CostGraph.

• Cluster inventory: the live manifests of all resources in the cluster.
• Container CPU/memory metrics: per-container CPU and memory from cAdvisor.
• Container and host process network metrics: per-container and, optionally, per-process bytes sent/received, packets sent/received, new-connection counts.
• Host metrics: node CPU, memory, disk, and network from node-exporter and the kubelet.
• Kubernetes object metrics: pod, deployment, and node state from kube-state-metrics.
• GPU metrics: optional, from the NVIDIA DCGM exporter. See Accelerators.

• Workload and namespace cost: spend attributed across pods, deployments, and namespaces.
• Rightsizing recommendations: CPU and memory resize suggestions for your workloads.
• Idle detection: workloads that consistently use less than they request.
• Cost anomalies: unusual spend or utilization changes surfaced automatically.

​

Prerequisites

• A running Kubernetes cluster.
• Helm 3+.
• An API key from the CostGraph platform.
• For network flow tracing, a root-privileged BTF-enabled kernel and a host-mounted cgroup v2 filesystem.

​

Install

helm repo add costgraph http://charts.costgraph.ai/
helm repo update

helm install costgraph-operator costgraph/costgraph-operator \
  --namespace costgraph \
  --create-namespace \
  --set global.clusterName=<your-cluster-name> \
  --set global.apiKey=<your-api-key>

kubectl get pods -n costgraph