KubeAdapt vs KubeLedger

KubeAdapt monitors Kubernetes costs across clusters, namespaces, workloads, pods and teams, and provides cost forecasting, budget alerts and rightsizing recommendations. It works with AWS, Google Cloud, Azure, OpenShift and bare-metal Kubernetes. The agent is installed with one Helm chart; the site estimates installation takes about five minutes. Rightsizing guidance gives per-container CPU and memory recommendations as YAML for GitOps workflows, with OOM-aware, bursty-CPU and replica-aware guardrails. KubeAdapt does not apply recommended changes. Its agent has read-only Kubernetes permissions, limited to list and watch, and the company says it does not collect Secrets, ConfigMaps, environment variables, container logs or network traffic. Aggregated payloads are signed in-cluster and sent using TLS 1.3 with mutual TLS. Alerts for budgets, cost spikes and new workloads can go to Slack, email or webhooks. A read-only REST API exposes cost, capacity and resource data. The free plan covers the first 100 vCPU across an account. Paid rates range from $0.60 a month to $1.99 a month per billable vCPU, depending on tier; qualifying startups have a $0.60 a month rate.

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.