Multi-Cloud Management

Multi-cloud management, one operating model.

Keep AWS, GCP, Azure, OCI, and Kubernetes under the same live-risk, policy, cost, fix, and reporting model.

AWS, GCP, Azure, and OCI
One policy model
Cross-cloud transformation
Reports roll up

ops0 brings your clouds, runtime, infrastructure code, and workflows into one operating context. Multi-cloud management keeps AWS, GCP, Azure, OCI, and Kubernetes under one discovery, policy, cost, and reporting model instead of separate provider-by-provider workflows.

ops0.ai/use-cases/multi-cloud-management
ops0 query console: a natural-language query returning production resources across clouds with security findings, monthly spend, and blast radius

Four clouds usually means four ways of working. ops0 gives them one. 

AWSGCPAzureOCIAny Terraform provider
One operating model
01 / 04 · Apart

Four consoles, four answers.

Each cloud has its own inventory, its own policies, its own reports.

AWSGCPAZUREOCI+ any Terraform provider
Going deeper

One model, not four.

Inventory

One inventory across providers.

Discover resources across AWS, GCP, Azure, OCI, and Kubernetes.
See the estate as one picture, not separate console exports.
AWS
142
resources
GCP
54
resources
Azure
39
resources
OCI
13
resources
ProvidersAWSGCPAzureOCIKubernetes
Under the hood

One model, every layer.

Generic Cloud
Any Terraform provider rides the same path.
Connected providers
AWSGCPAzureOCITerraformOpenTofu
Generic Cloud project

Runs any compatible Terraform or OpenTofu provider through the same plan, policy, and approval path as AWS, GCP, Azure, and OCI.

Kubernetes
Every flavor, reviewed the same way.
  • EKS
  • GKE
  • AKS
  • OKE
  • Self-managed
Transformation
Move infrastructure from what is live.
AWSAzure

From live state, not a blank file.

Cost
Spend rolls up, per provider.
AWS$32,100 /mo
GCP$14,800 /mo
Azure$10,200 /mo
OCI$4,300 /mo
Kiwi in Slack
Ask about any connected account.
@ops0 which accounts have open findings this week?
3 on AWS, 1 on Azure. GCP and OCI are clear. Same check, across every connected provider.
One model
Discovery to evidence, the same way everywhere.
DiscoveryReviewed fixesPolicy checksCost contextKubernetes visibilityEvidence

In practice

Review AWS and GCP together, keeping provider boundaries clear.

Illustrative workflow: an application has resources in an AWS account and a GCP project. Start with read-only inventory, reconcile ownership and dependencies, then review a planned change in the provider and project that own it.

  1. Connect and reconcile each scope

    Review read-only access for the AWS account and GCP project separately. Compare discovered resources with the provider consoles and record any permission or region gaps.

  2. Normalize ownership and environment

    Review AWS tags and GCP labels with the owning teams. Keep provider, account or project, region, and resource identifier attached to every resource.

  3. Verify dependencies

    Use configuration and provider evidence to establish what a proposed change affects. A matching tag or shared application name does not prove a network connection between clouds.

  4. Review the plan within its boundary

    Identify the owning IaC project, state, credentials, policy checks, and approver. Review each provider’s changes and any sequencing requirements before applying through the approved path.

Unified visibility helps teams coordinate decisions. AWS and GCP retain separate identity, networking, state, and deployment boundaries. Confirm those boundaries when evaluating impact.

Common questions

ops0 uses one model for discovery, reviewed fixes, policy checks, cost context, Kubernetes visibility, and evidence across major cloud providers.

More clouds should not mean
more operating models.

ops0 keeps discovery, policy, cost, deployment, and reporting consistent as the estate spreads across providers.