DeepCost
Kubernetes Cost Optimization

Reduce Kubernetes Costs by 65%
Complete K8s Cost Management

Stop wasting money on overprovisioned pods and expensive nodes. Get pod-level visibility, automated right-sizing, and intelligent spot instance management for EKS, GKE, and AKS.

⚡ 5-minute deployment • 💰 Average 65% cost reduction • 🔒 Works with EKS, GKE, AKS

Why Kubernetes Costs Spiral Out of Control

Most companies waste 60-80% of their Kubernetes budget on overprovisioned resources and inefficient cluster management.

Container Sprawl

Hundreds of pods running with unknown resource consumption and ownership

Overprovisioned Pods

Requesting 4GB RAM but using only 500MB - wasting 87% of resources

No Namespace Visibility

Can't track costs by team, environment, or business unit

Wasted Node Resources

Paying for expensive on-demand nodes when spot instances could save 70%

How Kubernetes Cost Optimization Works

From deployment to automated savings in four simple steps.

1

Deploy Agent

One-command deployment via Helm chart. Our lightweight agent monitors all pods, nodes, and namespaces without impacting performance.

2

Analyze Workloads

AI analyzes actual CPU, memory, and network usage patterns over time to identify waste and optimization opportunities.

3

Right-Size Pods

Automatically generate optimal resource requests and limits based on real usage data, eliminating overprovisioning.

4

Automate Savings

Implement pod autoscaling, spot instance migration, and cluster right-sizing with one-click approval.

Live Cluster Overview

Total Pods347
Overprovisioned178 (51%)
Spot Instance Eligible124 pods
Potential Monthly Savings$4,273
Current Monthly Cost$6,580
Optimized Cost$2,307 (65% savings)

Key Benefits

Complete visibility and control over your Kubernetes spending.

65% K8s Cost Reduction

Average savings across pods, nodes, and cluster infrastructure

Pod-Level Visibility

Track exact costs for every container, deployment, and service

Namespace Allocation

Chargeback and showback by team, environment, or project

Spot Node Management

Safely migrate workloads to spot instances with fallback protection

Resource Quotas

Prevent runaway costs with intelligent namespace limits

Multi-Cluster Support

Unified visibility across EKS, GKE, AKS, and self-hosted K8s

Comprehensive K8s Cost Features

Everything you need to optimize and manage Kubernetes costs at scale.

Pod Right-Sizing

Automatic recommendations for CPU/memory requests and limits based on actual usage patterns. Reduce overprovisioning by 60%.

Cluster Autoscaling

Intelligent node scaling that balances performance and cost. Add/remove nodes based on actual workload demands.

Namespace Cost Allocation

Complete cost breakdown by namespace, team, environment, or custom labels. Enable showback and chargeback.

Spot Node Management

Automated spot instance adoption for stateless workloads with graceful fallback to on-demand during spot interruptions.

Resource Quotas

Set intelligent namespace limits based on historical usage patterns. Prevent cost overruns while allowing flexibility.

Cost Showback

Detailed reports showing each team's Kubernetes spend. Encourage cost-aware development practices.

Real Customer Success

"DeepCost identified that 67% of our pods were overprovisioned by 4-10x. After implementing their right-sizing recommendations and migrating stateless workloads to spot instances, we cut our EKS bill from $18K to $6K monthly - a 67% reduction. The namespace cost allocation feature also helped us implement chargeback across engineering teams."
Michael Torres
Platform Engineering Lead, FinTech Startup
$12,000/month saved
850+ pods optimized across 5 clusters

Optimized for Your Cloud Provider

Deep integration with managed Kubernetes services for maximum cost savings.

Frequently Asked Questions

How does pod right-sizing work without breaking my applications?

We analyze 7-30 days of actual usage data (depending on workload patterns) to understand CPU/memory peaks and averages. Recommendations include safety buffers (typically 20-30% above peak usage) to prevent out-of-memory kills. You can test changes in dev/staging before production, and we provide rollback automation.

Can I use this with my existing Kubernetes setup?

Yes. DeepCost works with any Kubernetes cluster (v1.19+) including managed services like EKS, GKE, and AKS, as well as self-hosted clusters. We integrate with existing HPA, VPA, and cluster autoscaler configurations.

How do you handle spot instance interruptions?

Our spot management includes automatic fallback to on-demand instances when spot capacity is unavailable. We use pod disruption budgets and graceful termination handlers to ensure zero downtime during spot interruptions.

What's the difference between namespace cost allocation and showback?

Cost allocation tracks actual resource consumption by namespace with real cloud billing data. Showback generates reports showing each team their spend (informational). Chargeback goes further by actually billing internal teams, which we also support.

Will this slow down my cluster or pods?

No. Our agent uses less than 100MB RAM and 0.1 CPU cores per cluster. It monitors metrics already exposed by Kubernetes (kubelet, metrics-server) without adding overhead to your workloads.

How quickly will I see cost savings?

Initial pod right-sizing recommendations appear within 24-48 hours. Most customers implement quick wins (idle pod removal, basic right-sizing) in week 1, seeing 20-30% savings. Full 65% average savings typically achieved in 30-60 days after implementing all recommendations.

Ready to start saving on cloud costs?

Join thousands of companies that have reduced their cloud spending by up to 90% with DeepCost's AI-powered optimization platform.

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