A link-checked look at platforms that rightsize workloads, monitor spend, and automate FinOps for Kubernetes — turning idle cluster capacity into real savings.
Continuous Kubernetes rightsizing that automates resource requests and limits, with a guarantee of up to 80% savings without sacrificing reliability.
An open-source Fairwinds tool that uses the Vertical Pod Autoscaler to recommend "just right" resource requests and limits for every deployment.
A self-service, multi-cloud cost platform with a Kubernetes agent that breaks down spend by namespace and label and surfaces automated rightsizing recommendations.
Unifies Kubernetes, cloud, and AI spend into dimensional cost intelligence, tying every dollar to the team, feature, or customer that drove it.
A vendor-neutral, CNCF incubating open-source project for real-time Kubernetes cost monitoring, allocation, and showback/chargeback reporting.
Grown from the open-source Kubecost project, this install-in-minutes tool gives real-time cost visibility, allocation, and optimization, typically saving 30–50%.
Autonomous, context-aware automation for real-time pod rightsizing, replica and node optimization, Karpenter and Spot tuning, and GPU workload efficiency.
Automated cluster optimization with bin packing, Spot Instance automation, commitment utilization, and zero-downtime container live migration.
A patented, autonomous optimization platform that rightsizes Kubernetes and broader cloud/AI resources in real time, moving from Copilot approval to full Autopilot.