Attribute Partners with RealCloud to Bring FinOps Without Tagging to Latin America

Cloud adoption in Latin America continues to accelerate faster with AI workloads, SaaS growth, and cloud-native architectures, Kubernetes, and managed services. As infrastructure scales, so does the need for accurate cost observability that connects cloud spend to business outcomes through automated business mapping based on actual consumption.

RealCloud, a leading provider of continuous cloud management and optimization solutions in Latin America, works closely with engineering, finance, and leadership teams to help them operate cloud environments efficiently and at scale. Through their deep local expertise, RealCloud sees the same challenge across customers: traditional FinOps models no longer match how modern cloud architectures actually work.

That’s why we’re excited to announce our partnership with RealCloud, bringing Attribute’s FinOps Without Tagging platform to the Latin American market.

Together, RealCloud and Attribute enable cloud cost observability based on runtime consumption, delivering true unit economics without manual tagging, governance overhead, or constant coordination between engineering and finance teams.

Why Traditional FinOps Breaks Down in Modern Cloud Environments

Many organizations in Latin America and around the world rely on tag-based cloud cost allocation, a model that breaks down in modern environments and limits effective cloud cost optimization.

In practice, this leads to:

• Low-confidence AWS cost visibility
• Incomplete cost allocation across Kubernetes, shared services, and managed platforms
• Delayed reporting that limits executive decision-making
• Weak alignment between cloud spend and business KPIs
• Endless manual business mapping that’s outdated before it’s completed

RealCloud sees these challenges firsthand when supporting customers running production workloads across, Kubernetes, data platforms, and AI services.

FinOps Without Tagging for the Modern Cloud Era

Modern cloud environments are dynamic by design. Kubernetes workloads scale automatically, services share infrastructure, and teams increasingly rely on managed services such as databases, storage, AI platforms, and LLM APIs. Traditional tagging strategies were never designed to model this level of complexity.

This is where Attribute differs.

Rather than relying on how infrastructure is labeled, Attribute focuses on how applications actually consume resources, across compute, network, storage, shared services, and AI workloads.

Through this partnership, RealCloud customers in Brazil can now access:

Bottom up cost allocation from Runtime consumption

Attribute introduces a runtime cost layer that shows how applications actually consume cloud resources, not how infrastructure is labeled. Teams can define unit economics metrics such as customer, transaction, product, feature, or team. Using its eBPF-based engine, Attribute observes runtime usage and calculates the cost of each request, workload, or transaction based on actual consumption data. This enables accurate unit economics that support both FinOps operations and executive decision-making.

Zero tagging required

Eliminate manual tagging and fragile enforcement policies. Attribute automatically attributes costs without relying on tags, removing a major source of error, maintenance effort, and organizational friction.

Finance and FinOps teams get the answers they need through a model that doesn’t rely on engineering teams to maintain tags or respond to ongoing cost questions.

Total Cost of Ownership Full cloud cost visibility and Kubernetes cost allocation

Attribute provides leadership-level visibility into total cost of ownership (TCO) tied directly to unit economics.

This includes cost allocation for traditional blind spots such as:

• Network traffic (AZ-to-AZ, NAT, VPC)
• Untagged and shared resources
• Managed services like databases and storage
  AI and LLM platforms where costs are growing rapidly and ROI is increasingly under scrutiny

The platform also integrates with external sources such as Databricks, Snowflake, MongoDB Atlas, OpenAI, Vertex, and more, bringing all cloud and non-cloud costs into a single system and allocating them to unit economics.

Zero operational overhead for DevOps teams

By removing tagging as a dependency, organizations eliminate ongoing maintenance work and reduce friction between teams.

Engineering teams stay focused on delivery. FinOps and finance teams get consistent, trusted answers without manual reconciliation or repeated data requests.

From Cloud Metrics to Business and Executive KPIs

FinOps is no longer just about cost reporting. For executive leadership, cloud spend must map directly to business performance.

Through this partnership, organizations across Brazil and Latin America can:

• Tie cloud and AI spend to unit economics such as cost per customer, transaction, or product
• Understand the true gross margin impact of cloud, data, and LLM usage
• Improve forecast accuracy using consumption-based data instead of static reports
• Measure ROI on cloud and AI investments as architectures evolve
• Align finance, engineering, and product teams around shared, trusted metrics

By moving beyond tagging-based models, companies shift from reactive cost control to proactive financial optimization, built for modern and future architectures.

A Strong Local Partner for FinOps in Brazil

RealCloud brings deep experience in FinOps, DevOps, and cloud management across Brazil and Latin America, with strong local expertise in cloud environments, regulatory requirements, and operational realities.

Combined with Attribute’s automated cost attribution platform, this partnership helps organizations adopt FinOps practices that scale with modern architectures, including shared services and AI-driven workloads.

If you want to modernize your approach and connect cloud and AI spend directly to business KPIs, reach out to the RealCloud team.