Skip to content
Best Kubernetes Cost Optimization Software
Cut your Kubernetes compute costs, eliminate cluster waste, and increase engineering efficiency — automatically
nOps simplifies and automates Kubernetes (EKS) cost optimization with real-time rightsizing, intelligent autoscaling, and complete workload visibility. This empowers platform and engineering teams to run Kubernetes environments at peak efficiency while maximizing savings — without changing existing tools or disrupting workflows.
Trusted by Engineering & FinOps Teams Globally
nOps manages $2B+ in annual AWS spend for innovative brands, from startups to enterprises, saving them 50%+ autonomously.
Key Features of nOps Kubernetes Cost Optimization
Rightsizing & Autoscaling Intelligence
Automatically tune pods and nodes for peak efficiency.
Idle Resource Elimination
Find and remove unused workloads before they waste money.
Spot Instance Automation
Maximize savings with intelligent, disruption-aware Spot usage.
Commitment Utilization
Ensure every RI and Savings Plan dollar is fully consumed.
Granular Cost Allocation
Break down Kubernetes (and other cloud) costs by team, app, or namespace.
How nOps Does Kubernetes Cost Optimization?
1. Connect Your EKS Clusters
Install the lightweight nOps agent in your EKS clusters to start streaming metrics and cost data securely in minutes.
2. Analyze Inefficiencies
nOps finds overprovisioned pods, underutilized nodes, idle workloads, and missed savings opportunities.
3. Apply Automation
Optimize end to end with dynamic container rightsizing, autoscaling & commitment management.
4. Monitor Continuously
Track savings, efficiency, and performance over time with ongoing visibility, optimization, & benchmarking.
The Real Impact
Cut Kubernetes Spend 40–70%
Optimize across all compute purchase models — On-Demand, Reserved Instances, Savings Plans & Spot — automatically.
Boost Cluster Utilization by Up to 60%
Continuously optimize pod sizes, replicas, and node utilization to eliminate waste and ensure every resource delivers maximum performance per dollar.
Reduce Manual Effort by 80%+
End-to-end savings, risk free, with zero oversight. Free engineers to focus on building & innovating rather than infrastructure management.
Achieve <1% Spot Interruptions With ML-Driven Orchestration
Workloads are continually shifted across diverse Spot using ML analysis of historical data, current pricing & availability, for max savings AND stability.
Why Choose nOps Over Other Kubernetes Tools
| Capability | nOps | Traditional Tools |
|---|---|---|
| Works with Karpenter & Cluster Autoscaler |  Yes |  Often requires specific setup or replacement |
| Unified Cluster, Node & Container Visibility | Yes | Limited or siloed views |
| Hourly Node Utilization Metrics | Yes | Daily or aggregated only |
| Dynamic Container Rightsizing | Fully automated | Manual, with limited context |
| Spark Workload Optimization | Fully automated | Does not exist |
| Multidimensional Pod Autoscaling | Fully automated | Does not exist |
| Intelligent Instance Selection | ML-based Spot selection | Manual or static config |
| Real-Time Workload Rebalancing | Automated | Requires manual intervention |
| Spot Orchestration & Diversification | Yes | Basic Spot support or none |
| 100% Commitment Utilization (RI/SP) | Guaranteed | Manual management, no SLAs |
| Lightweight Agent, No Infra Change | Yes | Complex setup or changes |
| Vendor Lock-in | None | Often requires buy-in |
See It In Action
Discover how much you could save by connecting your infrastructure with nOps for free.
Customer Success Stories
Frequently Asked Questions
What is Kubernetes cost optimization?
Kubernetes cost optimization focuses on reducing cloud expenses by efficiently managing resources, preventing over-provisioning, and eliminating idle workloads. It uses techniques like rightsizing, autoscaling, and workload scheduling to balance performance with cost efficiency across dynamic Kubernetes environments.
How does nOps automate cost savings?
nOps automates cost savings by continuously monitoring cloud usage, identifying waste such as idle or oversized resources, and executing optimization actions like scheduling, rightsizing, and leveraging spot instances. This ongoing automation reduces manual effort and ensures consistent, data-driven cost control.
Do we need both rightsizing and autoscaling?
A Recognized Leader in Cloud Management
Advanced technology partner AWS, G2 4.8 rating, FinOps Foundation member and many more
