Common EKS Cost Challenges We Solve
Most teams waste 40-70% of their EKS budget. Here's how we fix it.
Problem: Paying for idle EC2 capacity
Solution: Right-size node groups based on actual utilization
Problem: Missing Spot Instance savings
Solution: Automated spot adoption with graceful interruption handling
Problem: Overprovisioned pod resources
Solution: AI-driven resource recommendations based on usage data
Problem: No visibility into team costs
Solution: Namespace-level cost allocation with AWS billing integration
How EKS Cost Optimization Works
Deploy to EKS
Install our lightweight agent via Helm chart. Integrates with AWS Cost Explorer and CloudWatch for complete visibility.
Analyze Workloads
AI analyzes pod resource usage, node utilization, and identifies Spot-eligible workloads across your EKS clusters.
Implement Savings
Apply right-sizing recommendations, migrate to Spot Instances, and optimize Savings Plans coverage with one-click actions.
EKS-Specific Cost Optimization Features
Purpose-built features for Amazon EKS cost management.
EC2 Node Right-Sizing
Identify overprovisioned EC2 instances in your EKS node groups. Get recommendations for optimal instance types based on actual workload demands.
Spot Instance Automation
Safely migrate stateless workloads to EC2 Spot Instances with automatic fallback. Save up to 90% on compute costs with intelligent spot management.
Pod Resource Optimization
Analyze CPU and memory requests/limits for every pod. Eliminate waste from overprovisioned containers while maintaining performance.
Cost Allocation by Namespace
Track costs by namespace, team, or environment with accurate AWS billing integration. Enable chargeback and showback for engineering teams.
Savings Plans Analysis
Get recommendations for Compute Savings Plans based on your EKS usage patterns. Maximize reserved capacity discounts.
Cluster Autoscaler Optimization
Fine-tune Karpenter or Cluster Autoscaler settings for cost-efficient scaling. Balance performance with cost optimization.
Deep AWS Integration
Native integration with AWS services for complete EKS cost visibility.
AWS Cost Explorer
Direct billing integration for accurate cost tracking
Karpenter
Optimize Karpenter provisioner settings for cost efficiency
Cluster Autoscaler
Fine-tune autoscaling for balanced cost/performance
AWS Savings Plans
Analyze and recommend optimal Savings Plans coverage
CloudWatch
Pull metrics for comprehensive resource analysis
EBS Volumes
Identify idle and overprovisioned persistent volumes
"We were running 12 EKS clusters on m5.2xlarge instances with 30% average utilization. DeepCost helped us right-size to m5.xlarge, migrate 60% of workloads to Spot, and implement Savings Plans for the rest. Our monthly AWS bill dropped from $45K to $16K."