Complete EKS Cost Visibility

Kubernetes Visibility

See cost, usage, and efficiency data across nodes and containers—plus pricing insights—all in one powerful Kubernetes UI

Kubernetes Cost Allocation

Break down Kubernetes costs by customer, team, product, or any other relevant diemsion

Full Stack Reporting Beyond K8s

Dashboards, reports, budgets, forecasting, and anomaly detection for visibility into 100% of your Multicloud, K8s, SaaS & AI spend

EKS Visibility Features

Get AI-powered Kubernetes visibility — from pods to business units.

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

Total EKS Visibility

All the metrics & benchmarking you need: costs, purchase types, container & node efficiency, potential savings
Hourly visibility into node-level usage to identify underutilization
Manage and troubleshoot complex workloads at scale — check status, click into nodes, explore, & take action in one UI

Kubernetes Cost Allocation

Full-Stack Cost Reporting

Automated dashboards, reporting, budgets & forecasting for your Kubernetes costs 100% accurate to the container or node level
nOps AI scans for spikes, trends & anomalies and answers your questions in natural language
EKS insights including container rightsizing summaries, commitment management summaries, & waste recommendations

Comprehensive Integrations

Analyze and optimize all of your Kubernetes, AWS, Azure, GCP, GenAI and SaaS costs with easy integrations

EKS Cost Visibility

Empower engineering, DevOps and FinOps teams with 100% CUR-matched accurate, shared visibility

Prevent Overspend Before It Happens

nOps AI identifies abnormal EKS usage and notifies you before costs spike — no more surprise bills.

Actionable EKS Insights

From “what happened” to “what to do” — with actionable insights, not just metrics.

Stop Overprovisioning

See exactly where unused resources are hiding — down to the container, pod, or namespace.

How It Works

STEP 1 - Install the Agent

Deploy the lightweight nOps agent via a single Helm command. No in-cluster server or complex setup required.

STEP 2 - See Everything

Get immediate visibility into container-level usage, node efficiency, and Kubernetes cost allocation — mapped to your actual AWS bill.

STEP 3 - Explore Insights

Use prebuilt dashboards, real-time metrics, and detailed reports to uncover inefficiencies, waste, and savings opportunities.

STEP 4 - Track Progress

Set budgets, targets, and alerts by pod, namespace, or cluster. Monitor cost trends and spot anomalies before they become problems.

STEP 5 - Drive Smarter Decisions

From rightsizing to cleanup, use data-driven insights to reduce cloud waste and improve resource planning — all within your current setup.

How It Works

STEP 1 - Install the Agent

Deploy the lightweight nOps agent via a single Helm command. No in-cluster server or complex setup required.

STEP 2 - See Everything

Get immediate visibility into container-level usage, node efficiency, and Kubernetes cost allocation — mapped to your actual AWS bill.

STEP 3 - Explore Insights

Use prebuilt dashboards, real-time metrics, and detailed reports to uncover inefficiencies, waste, and savings opportunities.

STEP 4 - Track Progress

Set budgets, targets, and alerts by pod, namespace, or cluster. Monitor cost trends and spot anomalies before they become problems.

STEP 5 - Drive Smarter Decisions

From rightsizing to cleanup, use data-driven insights to reduce cloud waste and improve resource planning — all within your current setup.

Feature Checklist

Feature	nOps
EKS COST OPTIMIZATION
Cost allocation granularity	Down to pod, container, namespace, label; custom showback and chargeback rules
Showback and chargeback programs	Full support with customizable allocation strategies
Custom showback rules	Even, usage-based, or custom percentage allocations; flexible and granular including custom tags/values
Credits & discounts allocation	Accurate down to container and pod; 100% CUR matched
EKS COST VISIBILITY
Global dashboards & reports	Prebuilt global dashboards and reports—no manual filtering needed. Ready to use as soon as you onboard clusters, with global reports for top spending services across AWS, GCP, Azure, and OpenAI, plus an extensive, detailed dashboard for EKS.
Forecasting	Supported on any dimension/metric including all EKS filters, can forecast namespace, container, pod etc.
Anomaly detection	Yes — powered by Clara AI
Container Rightsizing Reports	Full reporting with actionable container insights. Automated delivery to email, Slack, etc.
Page load performance	Fast, optimized dashboards
Node usage patterns & efficiency tracking	Deep insights with real-time efficiency scores and waste trends
Container rightsizing summary & policies	Detailed summary with per-container recommendations; policy-based automations
Forecasting on integrated data	Yes, across all dimensions and integrated tools
commitment Visibility
Commitment tracking (EDP, SaaS)	Burn-down tracking for EDP, SaaS tools, RIs, SPs
Burn-down tracker for commitments	Yes — EDP, SaaS, RIs, SPs
Credit and discount visibility	Accurate, down to pod/container
Admin & Setup
Integrations	Slack (alerts and notifications), Jira (automated tickets), Visibility for Datadog, Snowflake, OpenAI, Azure, GCP, MongoDB, SaaS tools
One-line EKS agent install	Yes, no additional AWS config required
Setup time	<5 Minutes
Deployment architecture	Lightweight, one-line agent; no in-cluster server
Pricing model	Fixed, predictable, unlimited clusters can be configured
EKS Optimizations
Container rightsizing automation	Fully automated with policies
Node rightsizing configuration automation (Karpenter & Cluster Autoscaler)	Automated — with granular hourly visibility and trend analysis

The Result

100% Accurate Kubernetes Cost Allocation

90% Less Time Spent on Reporting

30-50%+ Less Container Waste

20 engineering hours saved per week

Frequently Asked Questions

Can I track AWS credits, discounts, and amortized costs at the pod level?

Yes. nOps fully reconciles with the AWS CUR and allocates credits, discounts, and shared costs down to the pod, container, and namespace level with 100% match accuracy.

What kind of reporting can I create?

You can generate custom reports by cluster, namespace, workload, team, or label — and deliver them automatically via email or Slack, or export for chargebacks.

Can I build showback and chargeback programs with this?

Yes — nOps supports flexible cost allocation rules, including usage-based, equal-split, or custom-percentage strategies — even for shared or untagged resources.

How granular is the visibility?

Down to the hour at the node, container, and pod level. You can see real-time usage, cost, and efficiency metrics — and track waste or idle workloads instantly.

Will this impact performance or cluster stability?

Yes! You can set and track budgets, targets, and COGS all the way down to the container level. This helps finance and engineering teams align on true costs and profitability.

Do I have to install a heavy server inside my cluster?

No. nOps uses a lightweight, one-line agent install that does not run a separate in-cluster server. This means no extra resource drain, no performance slowdowns, and lower operational risk.

How accurate is nOps cost data?

100% accurate and fully aligned with AWS Cost and Usage Reports (CUR). We also allocate credits and discounts down to the container level.

How is pricing structured?

nOps pricing is fixed and based on your AWS monthly recurring revenue (MRR). There are no surprise CPU-based or usage-based fees, unlike Kubecost’s CPU-based model which can become unpredictable and costly.

Can I track budgets and COGS with nOps?

Yes! You can set and track budgets, targets, and COGS all the way down to the container level. This helps finance and engineering teams align on true costs and profitability.

Do you support AWS credits and discount allocations?

Yes. We accurately allocate AWS credits and discounts (RI, SP, etc.) down to pods and containers, so you can see exactly how they offset costs for each workload or team.

Does nOps provide forecasting?

Absolutely. You can forecast spend, efficiency, and commitment utilization across any dimension, including cluster, node, container, and integrated third-party tools (e.g., Datadog, Snowflake).