CloudBolt vs Klustercost

CloudBolt provides cloud management and Kubernetes rightsizing for teams governing and optimizing hybrid environments. CloudBolt CMP offers self-service provisioning under policies and standardized workflows. It supports more than 25 cloud providers and hypervisor platforms, including AWS, Azure, Google Cloud, Oracle Cloud, IBM Cloud, VMware, Hyper-V, Nutanix, OpenStack, OpenShift and Kubernetes. Its integration library contains more than 200 tools spanning IT service management, infrastructure-as-code, identity, security and backup. CMP governance includes role-based access, granular permissions, approvals, policy enforcement and audit trails. For cost oversight, it offers cross-environment visibility, budgets, quota enforcement, forecasts and optimization recommendations, along with cost allocation, budget alerts and commitment management. StormForge checks Kubernetes optimization recommendations against performance data and can apply validated changes automatically, with health checks and rollback. Its free trial covers full optimization on one cluster for 30 days. CMP Free costs nothing and includes core CMP capabilities for up to 100 resources, forever. CloudBolt also lists custom billing, paid support packages and professional services.

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.