Automatically optimize Karpenter workloads for more reliability & cost savings

nOps manages $2B in annual AWS spend for innovative brands, from startups to enterprises, saving them 50%+ autonomously.












Supercharge Your Karpenter Savings
Karpenter, a high-performance open-source Kubernetes autoscaler, optimizes clusters by proactively launching right-sized compute resources for better scaling and less waste.
In addition to these key benefits of Karpenter, additional opportunities exist to maximize your cost efficiency in complex environments
Commitment underutilization
Karpenter is not aware of your Reserved Instance and Savings Plan commitments — it’s easy to use too much Spot and waste your prepaid capacity.
No Holistic Spot Orchestration
Karpenter isn’t built to manage your broader Spot strategy. It scales based solely on what’s available and cost-effective now. It does NOT apply Spot best practices like managing instance lifespans or diversifying across instance types to avoid mass interruptions.
Lack of visibility
Karpenter doesn’t include visibility tools. Without insight into termination rates or node performance, you’re left in the dark about how well you’re running and how much you’re saving compared to before.
How nOps helps with Karpenter
nOps is a Karpenter-compatible solution designed from the ground up to be even more automated, cost-efficient, and simple to use. It continuously optimizes all of your cluster configurations — while adding Spot management, discount management, container rightsizing, comprehensive visibility and more to Karpenter.

Better outcomes with Spot
nOps Machine Learning continuously monitors Spot market pricing and termination data, proactively moving workloads onto a diverse set of optimal instances to maximize availability & increase your savings 60-75%.
100% Commitment Utilization Guarantee
Juggling Spot, Savings Plans, and RI can be a full-time job — nOps manages and optimizes all discounts on your behalf with a 100% commitment utilization guarantee.
Intelligent Instance Selection
Engineers no longer have to manually pick instance types. nOps automatically selects optimal diverse Spot instances based on your workload’s requirements, saving time & effort.
Spot Orchestration
nOps Machine Learning continuously monitors Spot market pricing and termination data, proactively moving workloads onto a diverse set of optimal instances to maximize availability & savings.
Container Rightsizing
Container efficiency requires multiple steps: collecting metrics, rightsizing, bin packing, etc. With nOps, you can review historical data, set thresholds, and take action all in one tool.
Real-time Workload Reconsideration
Automation allows nOps to tune Karpenter much more frequently than a human could — translating to better results and many hours of work saved.
The Result
60-75% Cost Savings
100% of Usage Discounted
<1% Spot Terminations
Time Saved for Engineers
See nOps in Action

Complete EKS Visibility

Dive Deeper into Individual Clusters

Optimize Your Containers with Rightsizing Recommendations

See nOps Compute Copilot in Action
Schedule a free Karpenter consultation to see how much you could save with nOps Compute Copilot
Join the Karpenter Slack Community
A Recognized Leader in Cloud Management
Advanced technology partner AWS, G2 4.8 rating, FinOps Foundation member and many more