Blog posts
Events
Cloudgov University
Your Kubernetes clusters hide the waste. Cloudgov.ai finds it.
Read only and agentic. Connect your Kubernetes clusters once and let Cloudgov.ai turn pod requests, node utilization, HPA behavior, and namespace patterns into continuous FinOps outcomes across every workload.
Waste identified across overprovisioned pods, idle nodes, unbalanced node pools, and unclaimed persistent volumes this quarter.
Every Kubernetes namespace, continuously optimized
From pod rightsizing to node pool selection, HPA tuning to spot fallback. Cloudgov.ai's agentic AI reads your clusters, surfaces the wins, and executes with human in the loop guardrails.
Agents analyze 90 days of CPU and memory usage per pod to recommend requests and limits that match reality. Apply via GitOps or approve one time per namespace.
Detect bin packing inefficiency, wrong instance families for your workload mix, and idle nodes that could be consolidated. Recommend node pool restructures with projected savings.
Analyze horizontal and vertical pod autoscaler behavior. Catch flapping HPAs, misconfigured VPAs, and over provisioned targetCPU thresholds that leave capacity on the table.
Identify workloads that can safely run on spot or preemptible nodes with the right disruption budget and pod topology. AgentShield executes with your approval where it matters.
Detect unclaimed persistent volumes, dangling load balancers, and unused container images filling up your registry. Clean up automatically or on approval.
Cost allocation to namespace, label, or pod owner. Every CPU minute and GB hour mapped to a team, product, or cost center. Finance closes the book in days, not weeks.
Connect once. Optimize continuously.
Under 15 minutes per cluster. Read only access via kubeconfig or in cluster agent. No writes to your clusters unless you explicitly opt in.
Read only kubeconfig for hosted clusters, or install our minimal read only agent for self hosted clusters. Neither has write access unless you opt in per action.
Ensure metrics server or Prometheus is running so we can read historical utilization. If not present, we can install a lightweight scraper in a dedicated namespace.
Activate ContainerShield for pod and node rightsizing, and CommitmentShield to align your Kubernetes reserved capacity with underlying cloud commitments.
Read only. FOCUS native. Agentic, not just analytical.
Read only, always
Cloudgov.ai never writes to or mutates your AWS accounts. Actions land as tickets, IaC diffs, or approvals in your existing workflow.
FOCUS native
Ingests the FinOps Open Cost & Usage Spec directly. Add Azure, GCP, and OpenAI later without re modeling anything.
Agentic outcomes
Findings flow into policy, approvals, tickets, and chargeback. Not another dashboard. Real actions with real audit trails.
The Kubernetes integration unlocks four Shields
Each Shield is an autonomous domain of FinOps outcomes. Turn them on independently, or run all four together for full AWS coverage.
Kubernetes runs on your cloud bill. Route those cloud invoices through Cloudgov.ai via BillingShield for 2 to 5% back and 30 day payment terms.
Reserved capacity for your Kubernetes underlying infrastructure managed per cluster. Continuous coverage optimization across cloud commitments.
Namespace and pod level cost allocation across every cluster. Bin packing recommendations, HPA and VPA tuning, and spot routing decisions.
Unified visibility, allocation, and optimization across AWS, Azure, and GCP on the FOCUS spec. One view, one policy, one chargeback.
Real numbers, from real Kubernetes environments
Illustrative, benchmark aligned ranges. Your results will vary by environment.
On rightsizing, commitments, and waste, guaranteed on qualified engagements.
Read only kubeconfig or agent connects, metrics sync, agents surface top pod and node savings automatically.
No writes to your accounts. Every action routed through your existing approval flow.
Ready to see your Kubernetes spend in a way that finally makes sense?
15 minute demo, real numbers on your environment, no long term commitment.