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Download the Agentic AI FinOps Guide

Transform Your FinOps Strategy with Agentic AI

How Agentic AI Is Redefining FinOps for the Multicloud Era
CLOUD COST GOVERNANCE

Kubernetes economics, down to the pod

Namespace- and pod-level cost allocation, rightsizing and bin-packing efficiency across your container estate on any cloud.

LIVE
38%
TREND
bin-packing efficiency
Pod & namespace allocationRightsized requests & limitsBin-packing efficiency
Pod rightsized
prod-api , 2 cores
Better rates across every cloud and AI provider
AWSAWSCloud AzureAzureCloud Google CloudGoogle CloudCloud OracleOracleCloud OpenAIOpenAIAI AnthropicAnthropicAI DeepSeekDeepSeekAI GeminiGeminiAI AWSAWSCloud AzureAzureCloud Google CloudGoogle CloudCloud OracleOracleCloud OpenAIOpenAIAI AnthropicAnthropicAI DeepSeekDeepSeekAI GeminiGeminiAI
SnowflakeSnowflakeData DatabricksDatabricksData DatadogDatadogObservability KubernetesKubernetesDevOps JiraJiraDevOps SlackSlackCollaboration FreshserviceFreshserviceITSM SnowflakeSnowflakeData DatabricksDatabricksData DatadogDatadogObservability KubernetesKubernetesDevOps JiraJiraDevOps SlackSlackCollaboration FreshserviceFreshserviceITSM
THE PROBLEM

Kubernetes is where cost visibility goes to disappear. Shared clusters blur ownership, requests and limits drift from reality, and a single bill hides dozens of teams. Engineering can’t see what they spend, and finance can’t allocate what they can’t see.

What ContainerShield does

Container economics, attributed to the teams that create it.

Pod- & namespace-level allocation
Attribute true cost to teams, services and environments inside shared clusters.
Rightsizing requests & limits
Detects over-provisioned workloads and recommends settings grounded in actual utilization.
Bin-packing efficiency
Surfaces underutilized nodes and scheduling waste, with consolidation recommendations.
Idle & zombie workload detection
Finds forgotten deployments quietly burning budget.
Showback for engineering
Cost signals delivered where engineers work, not buried in a finance dashboard.

How it works

01
Connect cluster metrics and cloud billing through read-only access.
02
Cloudgov.ai allocates spend to pods and namespaces and benchmarks utilization.
03
Rightsizing and consolidation actions route to your approval flow.

Outcomes

Illustrative, benchmark-aligned ranges, your results will vary by environment.

10–30%
lower Kubernetes spend through rightsizing and bin-packing
Per-team
cost ownership that finally maps to the teams creating it
Unit economics
engineering decisions informed by real container unit costs
WHY CLOUDGOV.AI

Kubernetes economics, governed by the same fabric as your cloud bill.

Cluster-aware allocation that ties container spend back to the same multi-cloud data fabric and policy engine as the rest of your estate.

Every provider, one fabric
AWS, Azure, GCP, Snowflake, OpenAI, Anthropic and Google Gemini, reconciled and allocated in one platform.
Agentic, not just analytical
Findings flow into policy, approvals, and chargeback, Cloudgov.ai acts on what it sees, not just charts it.
Read-only and FOCUS-native
Cloudgov.ai never writes to or mutates your accounts. Portable on the FinOps Foundation FOCUS spec.

Bring governance to every layer of your spend.

See how ContainerShield works on your environment in a 30-minute walkthrough.

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