Atmosly Kubernetes Cost Optimization vs Skuber+

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.

Skuber+ is a web-based SaaS platform for optimizing Kubernetes clusters through an agent installed on a customer’s cluster. It identifies over-provisioned resources, adjusts workload sizing, and uses bin-packing and autoscaling to reduce resource waste. Its dashboard reports costs by cluster, namespace, and workload, with 30-day trends and projected savings. Policies can adapt resources to traffic and development environments, including an Auto Balance policy for staging. The AI assistant analyzes CPU and memory use, suggests VPA and autoscaling settings, and answers Kubernetes questions. A single console shows multiple clusters, their status, resource use, and costs; users can revert to the pre-optimization state if performance falls short. AWS EKS and OCI OKE are supported, while Azure AKS and GCP GKE are marked coming soon. The agent supports Kubernetes version 1.33.1 or below and requires at least 600m CPU and 700 MiB memory. The Trial plan is free for 30 days and one cluster; Professional is $5 per vCPU, with no billing period specified.