CloudBolt vs KubeLedger

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.

KubeLedger tracks Kubernetes CPU, memory, and GPU usage by namespace for usage accounting and cost allocation. Its accounting includes node overhead and resources that cannot be allocated, while comparisons between usage and requests over time can help identify over-provisioning and plan capacity. Built-in dashboards show hourly CPU and memory trends for seven days, daily accounting for 14 days, and monthly accounting for 12 months. Charts and datasets can be exported as PNG, CSV, or JSON, and integrations include a Prometheus exporter and an official Grafana dashboard. The site says KubeLedger retains a full year of analytics with a fixed footprint under 100 MB. Installation guidance covers Kubernetes and OpenShift through Kustomize or Helm. KubeLedger requires read-only access to Kubernetes API endpoints, including the Metrics API. Internal use is free at free; source code is available, but the product cannot be sold as a managed service. An optional MCP server offers ten read-only tools, but is disabled by default and lacks authentication at the tool layer.