Atmosly Kubernetes Cost Optimization vs KubeAdapt

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.

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.