Klustercost vs PerfectScale
Klustercost
klustercost.cloud
PerfectScale
perfectscale.ioSide by side
| Figure | Klustercost | PerfectScale |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 3 |
| Spec score · Kubernetes Cost Management Software | 7.8 (#6) | 7.7 (#10) |
| Deployment | A Helm chart deploys the monitor, pricing service, database, and optional AI layer. | PerfectScale is available as managed SaaS or on-premise self-hosted software, and its agent can be deployed with Helm. |
| Integrations | The site lists WhatsApp, Teams, Slack, Power BI, HTTP API, and MCP protocol access. | Listed integrations include AWS CUR, Azure Cost Management, GCP Cloud Billing, DoiT, Jira, Slack, Microsoft Teams, Argo CD, Helm, Grafana, Datadog, Prometheus, and identity providers. |
| Purpose | Klustercost provides Kubernetes cost visibility by application, monitoring pods and pricing nodes. | PerfectScale continuously optimizes Kubernetes to reduce cloud costs while improving cluster performance and availability. |
Plans
In their own words
Klustercost
Klustercost gives Kubernetes users cost visibility by workload, monitoring pods and assigning prices 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, and nodes are enriched with hourly virtual-machine costs from Azure retail pricing APIs.
Users can ask questions in plain English and receive natural-language answers with 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. The project is open source under GPL-3.0 and its plan is free. Setup 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.
PerfectScale
PerfectScale optimizes Kubernetes workloads and nodes with the aim of reducing cloud costs while improving performance and availability. Podfit analyzes workload health and costs, recommends right-sizing and supports workload automation. Infrafit provides node utilization insights and recommendations for reducing idle capacity and selecting nodes. The platform prioritizes resilience risks and cost anomalies, with alerts available through Slack, Datadog, Microsoft Teams and PagerDuty. It supports cloud, hybrid, private-cloud and on-premises Kubernetes environments. Organizations can use managed SaaS or self-hosted software, and deploy the agent with Helm. The Free plan is free and covers up to 200 vCPU per month, with unlimited clusters, nodes and pods. Community users receive premium features such as automation during their first 30 days. The public API is a premium feature limited to paying Expert package customers. The pricing page displays SOC 2, GDPR and ISO 27001 credentials. PerfectScale describes DevOps, SRE and Platform Engineering teams as its audience; Expert and Advanced plan prices are by quote.