Multi-Cloud Infrastructure Management That Works

Multi-cloud is real but most teams hate managing it. A Flexera 2025 report found that 89% of enterprises run workloads across multiple clouds, and 72% of those teams say managing them is their biggest operational headache. The tools haven't kept up. Most infrastructure platforms were built for one cloud first and added others as an afterthought.

Here's what we've learned about what works when you're running production workloads across AWS, GCP, Azure, and beyond.

The Visibility Problem Comes First

You can't manage what you can't see. This sounds obvious but it's where most teams get stuck. They have Terraform for some resources, CloudFormation for others, and a bunch of stuff that was created through the console and never codified.

Discovery tools solve this. AWS Config gives you visibility into AWS. Google Cloud Asset Inventory covers GCP. Azure Resource Graph handles Azure. But if you're running all three, you now have three different inventory systems with three different data models.

ops0's discovery engine scans across all four major clouds (AWS, GCP, Azure, OCI) and normalizes everything into a single inventory. It covers 100+ AWS resource types across 29 scanner modules, roughly 70 GCP types, and 60+ Azure types. The key part is that it also generates Terraform from what it finds, so you go from "we don't know what's running" to "here's the IaC for everything" in one step.

Other approaches work too. Firefly (now part of GoTo) focuses on cloud asset management and can detect drift across multiple clouds. ControlMonkey emphasizes infrastructure-as-code coverage, helping teams codify resources that were created manually. Each has a different sweet spot.

Consistency Is Harder Than It Looks

Once you can see everything, the next problem is keeping it consistent. Same security policies, same tagging conventions, same compliance standards across every cloud.

Policy checks have become the standard for policy-as-code, and most serious tools support them. Spacelift has good policy-as-code integration. env0 lets you run custom policies in approval flows. ops0 ships with its built-in compliance frameworks (SOC 2, HIPAA, ISO 27001, ISO 27002, GDPR, and CIS Benchmarks) that apply uniformly across all cloud providers. The built-in approach means you do not have to write the policy from scratch.

Kubernetes adds another layer. If you're running clusters across clouds, you need consistent policy enforcement there too. Kubernetes policy checks and policy-as-code enforcement are the common choices. ops0 integrates Kubernetes policy checks natively along with container vulnerability scanning and per-namespace Kubernetes cost breakdown across all your clusters.

The IaC Translation Layer

Writing Terraform for AWS is different from writing it for GCP. Same concepts, different resource names, different argument structures, different quirks. Teams that manage multi-cloud often have specialists for each provider, which defeats the purpose of having a unified platform team.

AI is changing this faster than expected. ops0's cross-cloud transformation can take an AWS infrastructure definition and generate the equivalent for GCP or Azure. It's not perfect for every edge case, but for standard patterns (VPCs, compute, databases, storage, IAM) it handles the translation that used to take days.

Pulumi's approach is different but also effective. By using real programming languages, teams can build abstractions that work across clouds using conditional logic. The trade-off is that you need developers comfortable writing those abstractions.

Cost Visibility Across Clouds

Cloud billing is confusing enough with one provider. Three providers means three billing systems, three pricing models, three sets of reserved instance calculations.

Dedicated FinOps tools like CloudHealth and Spot by NetApp handle this well but they're separate platforms with their own learning curve. For teams that want cost visibility integrated into their infrastructure workflow, fewer options exist. ops0 includes real-time cost estimation in its deployment pipeline and per-namespace Kubernetes cost breakdown, so you see cost impact before you apply changes. It's not a full FinOps platform, but it catches the most common cost surprises.

What We'd Recommend

If you're early in your multi-cloud journey, start with visibility. Get a single inventory of everything across all your clouds. ops0, Firefly, and even manually running terraform import across your accounts all work. pick one and start.

If you're already multi-cloud and drowning in operational complexity, look for tools that consolidate the lifecycle. The fewer dashboards your team has to check every morning, the fewer things fall through the cracks. That's the core problem ops0 was built to solve: one platform for discovery, IaC, deployment, compliance, and operations across every cloud.