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AI-driven FinOps for automated cloud cost transparency, governance, and remediation.

Harness Cloud Cost Management (CCM) represents a sophisticated pivot in the FinOps landscape, moving beyond passive reporting to automated remediation. Built on the Harness Intelligent Software Delivery Platform, CCM leverages machine learning to provide deep visibility into multi-cloud environments, specifically targeting the complexities of Kubernetes and microservices. Unlike legacy tools that only surface spend, Harness CCM implements 'Cloud AutoStopping' technology, which detects idle resources and shuts them down dynamically without disrupting active workflows. For 2026, the tool integrates deeply with AI/ML infrastructure, allowing teams to track GPU utilization costs and LLM inferencing spend in real-time. Its technical architecture utilizes a 'Delegate' agent system to securely ingest billing data and cloud metrics without requiring root-level credentials. By providing 100% granular visibility into non-labeled resources and shared cluster costs, it enables precise chargebacks and engineering accountability. The platform's market position is defined by its ability to bridge the gap between finance teams and developers, embedding cost governance directly into the CI/CD pipeline rather than treating it as a monthly post-mortem activity.
Harness Cloud Cost Management (CCM) represents a sophisticated pivot in the FinOps landscape, moving beyond passive reporting to automated remediation.
Explore all tools that specialize in cost optimization. This domain focus ensures Harness Cloud Cost Management delivers optimized results for this specific requirement.
Uses a proxy or DNS-based approach to detect incoming traffic; shuts down idle compute and restarts it instantly when a request is received.
A proprietary tagging and filtering engine that allows for cost mapping even when resources are missing tags.
Deep visibility into namespaces, workloads, and individual pods, integrating with Prometheus for resource utilization data.
Uses advanced time-series forecasting to detect spend spikes and alert relevant stakeholders via webhook or Slack.
Integrates Open Policy Agent (OPA) to enforce cost-related policies during the CI/CD pipeline.
Analyzes historical CPU/Memory metrics to recommend specific instance type changes or container limit adjustments.
Automated management of RIs (Reserved Instances) and Savings Plans across cloud providers.
Create a Harness account and navigate to the Cloud Cost Management module.
Deploy the Harness Delegate (a lightweight agent) into your K8s cluster or EC2 environment.
Configure read-only cloud provider connectors for AWS, Azure, or GCP.
Enable Billing Data Export (CUR for AWS, etc.) to the Harness-managed S3/Storage bucket.
Define 'Perspectives' to group resources by application, team, or environment.
Wait 24-48 hours for the ML engine to baseline normal spend patterns.
Configure AutoStopping rules for non-production environments.
Set up Budget alerts and Anomaly detection thresholds via Slack or Email.
Review Rightsizing recommendations for EC2, RDS, and K8s workloads.
Implement Automated Governance policies using Harness Policy Engine (OPA).
All Set
Ready to go
Verified feedback from other users.
"Users praise the automated AutoStopping feature and the granularity of Kubernetes cost reporting, though some find the initial delegate setup complex."
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