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Overview

As organizations deepen their reliance on cloud-native infrastructure and microservices, the complexity of cost attribution grows exponentially.

Traditional cloud cost management solutions — built on manual tagging, static rules, and siloed visibility — can no longer keep pace with the dynamic nature of today's infrastructure.

After 15 years that all FinOps industry leverages the same data, Attribute introduces a modern, automated, no-tagging, and observability-driven approach to FinOps. Leveraging eBPF-based telemetry, automated microservices discovery, and real-time cost attribution, our platform equips engineering and finance teams with the tools they need to optimize cloud spend, understand cost-to-serve, and align infrastructure decisions with business value.

FinOps in the Age of Distributed Systems​

Cloud cost visibility is no longer just a financial concern — it's an operational imperative. As teams adopt containerized workloads and multi-tenant approaches, cost allocation becomes harder and more ambiguous. Organizations are struggling with:

  • Manual tagging overhead that doesn't scale.
  • Shared resources that can't be neatly attributed.
  • Poor visibility into microservices and team-specific spend.
  • Blind spots in customer-level cost modeling.
  • Limited interoperability with evolving data and analytics stacks.

Key Product Capabilities​

eBPF-Based Observability​

At the core of our solution is an ultra-lightweight, kernel-level eBPF sensor that operates at runtime with minimal code instrumentation. This sensor:

  • Captures real-time infrastructure and network activity.
  • Ties usage to services, APIs, or customers based on live behavior.
  • Adds no performance overhead or architectural complexity.

Automated Microservices Discovery​

No more static service catalogs or brittle configurations. The platform:

  • Automatically identifies microservices and dependencies.
  • Adapts in real-time to ephemeral or newly deployed workloads.
  • Maps services to teams, business units, or environments.

Cost Attribution to Unit Economics​

Using packet inspection and runtime metadata, our system can:

  • Attribute costs directly to features, teams, or customers.
  • Support multi-tenant environments and dynamic workloads.
  • Enable unit economics such as cost-per-feature, cost-per-team, or cost-per-customer.

Shared Resource Allocation​

We intelligently allocate shared resources (e.g., databases, message queues) using weighted models informed by actual runtime usage — removing guesswork and improving accuracy.

Main Features​

  • Custom groupings on runtime and metadata.
  • Holistic cost visibility across different third-party SaaS providers, including Snowflake and MongoDB® Atlas.
  • Token cost attribution for OpenAI: fine-grained tracking of inference and endpoint usage.
  • Usage-based anomaly detection.
  • Cost insights based on Attribute's data.
  • Advanced data transfer attribution to workloads, including destination transparency.
  • Sensor installation for many compute infrastructures: EKS, ECS, EC2 (standalone), Auto Scaling groups.
  • Many supported dissectors by our sensor, including: RDS, S3, ElastiCache, ElasticSearch, MSK, SQS.

API Support​

The Attribute API enables you to interact with the data programmatically, extract large amounts of data, and integrate it with your internal systems.

API tokens can be generated through our platform. The API was developed with a security-first approach, allowing generation and management of tokens via the Attribute dashboard application (including token expiration management, IP restrictions, etc.).

The main API endpoints include:

  • Advanced workloads cost attribution, including breakdown to consumed cloud resources.
  • Full customers cost.
  • Anomaly detection.
  • Cloud resources cost.

The API is queried asynchronously.

Core Benefits​

  • Deep visibility across the stack.
  • Zero manual tagging.
  • Improved unit economics.
  • Smooth transition from current tools.
  • Designed for DevOps and FinOps.

Forward-Looking Capabilities​

We're actively expanding the platform to support:

  • Dynamic Widget Builder: empower users to build their own dashboards from raw and processed data.
  • AI-based FinOps assistant.
  • Additional integrations.

Our team is here to provide any further information needed about our product and technical stack.

Trademarks: AWS is a trademark of Amazon.com, Inc. or its affiliates. Snowflake is a registered trademark of Snowflake Inc. MongoDB is a registered trademark of MongoDB, Inc. OpenAI is a trademark of OpenAI. All other trademarks are the property of their respective owners.

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