Atmosly Kubernetes Cost Optimization vs KubeLedger

Atmosly Kubernetes Cost Optimization helps teams allocate and manage cloud spending across Amazon EKS, Google GKE and Azure AKS. Its normalized dashboard breaks costs down by account, cluster, namespace and service, with showback views for teams. The product detects idle workloads and orphaned volumes, provides daily budget alerts and monthly forecasts, and ranks reserved-instance and savings-plan opportunities by monthly savings. Right-sizing suggestions use workload p95 usage over time, estimate dollar impact and can be submitted as reviewable pull requests. A connected cluster can be assessed with read-only access; changes require explicit approval. Cost telemetry depends on an existing in-cluster Prometheus instance, and the page says kube-prometheus-stack works out of the box. The Personal plan is free forever for one engineer and one cluster, with cost recommendations in view-only mode and seven-day history. Team signups receive 30 days of Growth features without a credit card for self-serve signup. Paid plans start at $399/mo. The product supports Linux, web and self-hosted use; the self-hosted control plane is available on the Platform tier.

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.