Klustercost
Klustercost provides workload-level cost visibility for Kubernetes by monitoring pods and assigning pricing information to nodes.
What Klustercost is
Klustercost provides workload-level cost visibility for Kubernetes by monitoring pods and assigning pricing information to nodes. Its Go-based observers use Kubernetes informers and Prometheus to track pods, nodes, and namespaces in real time. Pod and node data is stored in PostgreSQL every 10 minutes, while node records receive hourly VM costs from Azure retail pricing APIs. Users can ask questions in plain English and get natural-language answers alongside structured JSON; the site describes these AI queries as read-only. Access options include WhatsApp, Teams, Slack, Power BI, an HTTP API, and MCP protocol. A Helm chart deploys the monitor, pricing service, database, and optional AI layer. Klustercost is open source under GPL-3.0 and has a free plan. Installation requires a running Kubernetes cluster, Helm 3.x, reachable Prometheus, Metrics Server, and a StorageClass. Azure cost enrichment is supported; AWS and GCP support are planned. Natural-language queries through the MCP assistant require an OpenAI API key.
Good
- Tracks pods, nodes, and namespaces in real time
- Stores pod and node data in PostgreSQL
- Offers access through chat, BI, API, and MCP options
- Open source under GPL-3.0
Watch out
- Azure cost enrichment is supported; AWS and GCP are planned
- Installation requires a cluster and several prerequisites
- MCP assistant queries require an OpenAI API key
Who it suits
Klustercost suits teams seeking application-level cost visibility for Kubernetes clusters, especially those using Azure pricing data. It requires Kubernetes and related monitoring and storage prerequisites; MCP natural-language queries also need an OpenAI API key.
Verdict
Klustercost combines Kubernetes workload monitoring with Azure node-cost enrichment and multiple query channels. Its prerequisites and current cloud-cost coverage are important considerations before deployment.
Plans and prices
From Klustercost's own pricing page, checked 4 Oct 2001.
| Plan | Price | What it gives you |
|---|---|---|
| Open source | Free | Open source under GPL-3.0 License |
The facts
Each one read from Klustercost's own pages, with the date it was checked.
What it does
- Cluster compatibility
- The repository says Azure cost enrichment is supported, while AWS and GCP support are planned.checked 4 Oct 2001
- Data storage
- Pod and node data is persisted in PostgreSQL every 10 minutes.checked 4 Oct 2001
- Deployment
- A Helm chart deploys the monitor, pricing service, database, and optional AI layer.checked 4 Oct 2001
- Integrations
- The site lists WhatsApp, Teams, Slack, Power BI, HTTP API, and MCP protocol access.checked 4 Oct 2001
- License
- The project is open source under the GPL-3.0 License.checked 4 Oct 2001
- Monitoring
- Go-based observers use Kubernetes informers and Prometheus to track pods, nodes, and namespaces in real time.checked 4 Oct 2001
- Optional AI requirement
- The repository says natural-language queries through the MCP assistant require an OpenAI API key.checked 4 Oct 2001
- Prerequisites
- The repository lists a running Kubernetes cluster, Helm 3.x, reachable Prometheus, Metrics Server, and a StorageClass among installation prerequisites.checked 4 Oct 2001
- Pricing data
- Nodes are enriched with hourly VM costs from Azure retail pricing APIs.checked 4 Oct 2001
- Purpose
- Klustercost provides Kubernetes cost visibility by application, monitoring pods and pricing nodes.checked 4 Oct 2001
- Queries
- AI translates plain-English questions into natural-language answers and structured JSON.checked 4 Oct 2001
- Query safety
- The site describes AI queries as read-only.checked 4 Oct 2001
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