Kubernetes Cost Optimization

Visualize and Optimize
K8s Spending

CloudHiro provides deep container-level insights, rightsizing recommendations, and automated resource optimization for Kubernetes workloads.

See K8s Optimization in Action

Container-Level Insights

Deep visibility into individual container costs and resource usage

Rightsizing Recommendations

AI-powered suggestions to optimize resource requests and limits

Automated Optimization

Automatic resource optimization with safety guardrails

How Kubernetes Cost Optimization Works

Advanced analytics and automation to optimize your Kubernetes workloads for cost efficiency without compromising performance

1

Monitor Resources

Continuously monitor CPU, memory, and storage usage across all pods and containers.

2

Analyze Patterns

AI algorithms analyze usage patterns to identify optimization opportunities and waste.

3

Generate Recommendations

Receive specific rightsizing recommendations with impact analysis and cost savings.

4

Auto-Optimize

Automatically apply optimizations with rollback capabilities and performance monitoring.

Comprehensive K8s Cost Allocation

Track and allocate costs across every level of your Kubernetes infrastructure

Namespace Level

  • Cost per namespace
  • Resource utilization
  • Budget tracking
  • Trend analysis

Pod & Container Level

  • Individual pod costs
  • Container resource usage
  • Idle resource detection
  • Performance metrics

Service & Deployment

  • Service-level costs
  • Deployment efficiency
  • Scaling recommendations
  • Cost per request

Team & Project

  • Team cost allocation
  • Project budgets
  • Chargeback reports
  • Usage analytics

Node & Cluster

  • Node utilization
  • Cluster efficiency
  • Auto-scaling insights
  • Resource planning

Storage & Network

  • Persistent volume costs
  • Network traffic costs
  • Storage optimization
  • Ingress/egress tracking

Advanced K8s Optimization Features

Intelligent automation and insights to maximize your Kubernetes efficiency

Smart Rightsizing

AI-powered recommendations for CPU and memory requests/limits based on actual usage patterns.

Vertical Pod Autoscaling

Automated VPA recommendations and implementation with performance monitoring.

Cluster Autoscaling

Optimize cluster size and node pools for maximum cost efficiency and performance.

Spot Instance Optimization

Intelligent spot instance usage with automatic failover and cost optimization.

Ready to Optimize Your K8s?

Discover how much you could save with intelligent Kubernetes optimization. Get detailed insights into your container costs.

Get Your K8s Analysis

Proven K8s Cost Savings

Real results from organizations optimizing their Kubernetes workloads

30-60%

Average Cost Reduction

90%

Resource Utilization

24/7

Automated Monitoring

Zero

Performance Impact

Start Optimizing Your Kubernetes Costs Today

Join leading companies who have reduced their K8s costs by up to 60% with CloudHiro's intelligent optimization.

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