Integrations/Google Kubernetes Engine (GKE)

Native Integration

Google Kubernetes Engine (GKE) Integration

Govern Google Kubernetes Engine (GKE) costs with comprehensive container telemetry — track GKE Autopilot workloads, Standard cluster node pools, TPU/GPU AI accelerators, and multi-tenant namespace spend.

What Finomics tracks for Google Kubernetes Engine (GKE)

GKE Autopilot vs Standard unit economics, TPU/GPU accelerator tracking, and namespace chargeback

GKE Autopilot per-pod resource consumption and billing

GKE Standard node pool compute engine (GCE) and GPU/TPU accelerator spend

Namespace, workload, and pod cost allocation across multi-tenant clusters

Persistent Disk (PD) and Google Cloud Storage bucket expenditures

Inter-zone and internet egress network bandwidth charges

Committed Use Discounts (CUDs) and Spot VM utilization across GKE

Why govern Google Kubernetes Engine (GKE) with Finomics

Autopilot & Standard Transparency

Compare unit economics and cost efficiency between GKE Autopilot and Standard clusters.

AI & TPU/GPU Spend Forecasting

Predict container and accelerator cost trajectories for machine learning and LLM workloads.

Workload Rightsizing

Eliminate resource waste by aligning pod requests with historical usage trends.

Namespace & Label Chargeback

Map GKE namespaces, labels, and GCP projects to business units and engineering teams.

CUD & Spot Optimization

Maximize Committed Use Discount coverage and Spot VM savings for batch workloads.

Real-Time Anomaly Alerts

Detect unexpected pod scaling events, misconfigured replicas, and runaway compute spend.

Get started in minutes

Connect

Grant read-only access to Google Cloud Billing export and deploy the GKE agent.

Sync

Ingest GKE usage metering, node telemetry, and Google Cloud billing data.

Attribute

Map namespaces, cluster labels, and GCP projects to departments and cost centers.

Govern

Enforce container budgets, quota alerts, and automated rightsizing actions.