DEV.co
Open-Source Observability · opencost

opencost

OpenCost is an open-source Kubernetes cost monitoring tool that tracks workload expenses across cloud providers (AWS, Azure, GCP) and on-premises clusters. It provides real-time cost allocation by namespace, pod, node, and service, plus unified visibility into multi-cloud spending.

Source: GitHub — github.com/opencost/opencost
6.6k
GitHub stars
836
Forks
Go
Primary language
Apache-2.0
License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

FieldValue
Repositoryopencost/opencost
Owneropencost
Primary languageGo
LicenseApache-2.0 — OSI-approved
Stars6.6k
Forks836
Open issues246
Latest releasev1.120.4 (2026-06-25)
Last updated2026-07-07
Sourcehttps://github.com/opencost/opencost

What opencost is

Go-based cost exporter that integrates with Kubernetes APIs, Prometheus, and cloud provider billing APIs to calculate resource allocation costs. Supports dynamic pricing from AWS/Azure/GCP, custom CSV pricing for on-prem, and exports metrics via Prometheus /metrics endpoint. Recently added MCP (Model Context Protocol) server for AI agent integration.

Quickstart

Get the opencost source

Clone the repository and explore it locally.

terminalbash
git clone https://github.com/opencost/opencost.gitcd opencost# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

Multi-cloud Kubernetes cost attribution

Track spend across AWS, Azure, and GCP clusters with unified dashboards. Ideal for organizations running workloads on multiple clouds needing consolidated FinOps visibility.

Chargeback and cost allocation by team

Allocate costs by namespace, controller, service, or pod to enable accurate billing back to teams or departments. Works across both cloud and on-prem Kubernetes.

AI/ML inference cost monitoring

Built-in cost tracking for vLLM-based inference workloads with per-token pricing, KV cache correction, and shared infrastructure attribution. Includes Prometheus metrics and REST APIs.

Implementation considerations

  • Requires Kubernetes 1.20+ cluster and Prometheus for metrics export; Helm is the sole installation method (standalone manifests removed).
  • Must configure cloud provider API credentials (AWS, Azure, GCP) to enable dynamic pricing; on-prem requires manual CSV pricing setup.
  • For HA/sharded Prometheus, point PROMETHEUS_SERVER_ENDPOINT to a global query endpoint (Thanos, Cortex, Mimir) to avoid incomplete results.
  • MCP server is opt-in and disabled by default; enable only if AI agent integration is required, configured via Helm chart or environment variables.
  • Resource requests/limits and persistent volume sizing depend on cluster scale; review Helm values for production deployments.

When to avoid it — and what to weigh

  • Non-Kubernetes cloud cost management needed — OpenCost is Kubernetes-focused; for general cloud cost monitoring across non-K8s resources, consider dedicated cloud FinOps platforms.
  • Real-time cost data required at sub-minute granularity — OpenCost relies on Prometheus scrape intervals and cloud provider billing API latency; not suitable if you need true real-time cost updates.
  • Minimal operational overhead desired — Requires Prometheus integration, cloud provider API credentials, and Helm chart management. Not a zero-touch cost visibility solution.
  • Closed-source compliance or vendor lock-in required — Apache 2.0 licensed open-source; if you need proprietary SLAs, support contracts, or vendor lock-in, consider commercial alternatives like Kubecost.

License & commercial use

Licensed under Apache License 2.0 (Apache-2.0), a permissive OSI-approved license permitting commercial use, modification, and distribution with minimal restrictions.

Apache 2.0 permits commercial use without explicit permission or fees. However, this is the upstream open-source project; production support, SLAs, and commercial features are not available here. Kubecost (original commercial sponsor) offers proprietary distributions if enterprise support is required. Review Apache 2.0 terms and your legal team's guidance before production deployment.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

SignalAssessment
MaintenanceActive
DocumentationAdequate
License clarityClear
Deployment complexityModerate
DEV.co fitStrong
Assessment confidenceHigh
Security considerations

Runs in Kubernetes with API server access to read resource metadata. Requires cloud provider credentials (AWS, Azure, GCP) stored as secrets; ensure proper RBAC and secret management. MCP server disabled by default to minimize attack surface. No detailed security audit data provided; review project's OpenSSF scorecard and conduct your own assessment. No known CVEs stated in provided data.

Alternatives to consider

Kubecost (commercial/open-source)

Original commercial sponsor of OpenCost; offers proprietary features, SLAs, and support not available in this upstream project.

AWS Cost Explorer / Azure Cost Management / GCP Billing

Native cloud provider cost tools; simpler for single-cloud environments but lack Kubernetes-native allocation and multi-cloud aggregation.

CloudZero / Vantage / CloudHealth

Third-party FinOps platforms with broader cloud cost intelligence, anomaly detection, and managed support; higher cost but less operational burden.

Software development agency

Build on opencost with DEV.co software developers

Deploy OpenCost via Helm to track workload costs across Kubernetes and cloud providers. Perfect for FinOps teams and cost-aware engineering.

Talk to DEV.co

Related open-source tools

Surfaced by semantic similarity across the DEV.co open-source index.

opencost FAQ

Does OpenCost require a commercial license?
No; OpenCost is Apache 2.0 licensed and free to use. However, if you need production support, SLAs, or advanced features, Kubecost (the commercial sponsor) offers those separately.
Can I use OpenCost in an air-gapped / on-prem Kubernetes cluster?
Yes; on-prem clusters can use custom CSV pricing instead of cloud provider APIs. However, Prometheus and the OpenCost exporter must still run in-cluster.
What is the MCP server and should I enable it?
MCP (Model Context Protocol) server allows AI agents to query cost allocation and asset data. It is disabled by default. Enable only if you integrate with AI tools; otherwise, leave disabled.
Is real-time cost data available?
OpenCost updates costs based on Prometheus scrape intervals and cloud provider API latency, typically minutes to hours old. Not suitable for sub-minute real-time tracking.

Custom software development services

Adopting opencost is usually one piece of a larger software development effort. As a software development agency, DEV.co provides software development services and web development expertise — pairing senior software developers and web developers with your team to design, build, and operate open-source observability software in production.

Gain Kubernetes Cost Visibility

Deploy OpenCost via Helm to track workload costs across Kubernetes and cloud providers. Perfect for FinOps teams and cost-aware engineering.