New: EKS Operations & Cost Data in Clara

Understanding Kubernetes spend and performance shouldn’t require six dashboards and a weekend of spreadsheet archaeology.

Starting today, Clara, our AI FinOps assistant, can answer detailed questions about your Amazon EKS environment — from high-level trends to container-level costs and utilization — and turn them into actionable plans to cut waste and improve efficiency.

What’s New

Clara now has direct access to your nOps EKS data model, so you can ask natural-language questions and get precise, explainable answers:

Granular EKS cost visibility — down to the container. Drill into costs by cluster, namespace, workload, and container to see exactly where spend is coming from. This builds on our existing EKS visibility features.
Operational efficiency at multiple levels.
Node level: CPU & memory utilization plus an overall efficiency score to quickly spot idle capacity and poor bin-packing.
Container level: Actual CPU & memory usage vs. requests to uncover over-provisioned workloads and rightsizing opportunities.
Price level: Coverage and mix across Spot, Savings Plans, and Reserved Instances to reduce on-demand exposure.
Conversational analysis. Ask “why,” “what changed,” and “what should I do next,” and Clara will synthesize cost + utilization + pricing signals into clear guidance. Clara’s long-context analysis powers deeper, multi-step FinOps conversations.

What You Can Ask Clara

Copy-paste these into the AI feed to try it now:

Show EKS spend by cluster for the last 30 days.
In ``, list the top 20 containers by cost this month.
Show the efficiency score and total spend for each cluster this week.
For each cluster, show price coverage across Spot, Savings Plans, and RIs for the last 30 days.
Which clusters had the largest week-over-week cost change?

How It Works

Clara sits on top of the same EKS intelligence you see in nOps — now available conversationally:

Data sources. Use agentless cost allocation for fast, frictionless EKS cost visibility mapped to business context (without in-cluster components), and optionally add the lightweight nOps EKS agent for high-resolution container-level usage to power precise rightsizing and node efficiency.
Multi-level scoring. Clara uses the EKS Insights signals — container, node, and price efficiency — to prioritize savings with clear “why” behind each recommendation.
Explainability. Every answer can reference the underlying metrics (utilization, requests, coverage) so FinOps, DevOps, and app owners can align on next steps.

Who It’s For:

Newcomers to ops or engineers wearing the pager: Ask plain-English questions and get context + action (“rightsizing plan for checkout service,” “which clusters are under-covered by commitments,” “what changed week over week”).
Experienced practitioners: Go deep with trend analysis and coverage modeling without hopping across tools. Clara accelerates what you already do — with less grunt work.

What You Can Expect

Results
Faster root-cause on spend changes (what moved, where, and why)	Lower EKS compute costs by improving price coverage and eliminating container waste	Higher node utilization via targeted scaling adjustments

How To Get Started

Open Clara in nOps and start a new conversation.
Ensure your EKS data is connected:
Agentless EKS cost allocation (quickest path to cost visibility), and/or
nOps EKS agent for container-level usage and real-time rightsizing.
Ask one of the prompts above — or just say, “Help me reduce EKS costs,” and Clara will guide you.

If you’re already on nOps…

You’re set — just head to Clara and ask about your EKS clusters. Need help? Ping your CSM or visit the Help Center.

If you’re new to nOps…

nOps was ranked #1 with five stars in G2’s cloud cost management category, and we optimize $5B+ in cloud spend for customers. Book a demo to see Clara for EKS in action.

Bottom line: Whether you’re just getting started with Kubernetes operations or you’ve been tuning clusters for years, Clara makes the financial and operational side of EKS radically easier — helping you find and eliminate inefficiencies and reduce your EKS spend with confidence.

Demo