Make cluster cost monitoring and forecasting simple

Monitor cluster resource usage in real time and forecast potential cost savings based on underutilized resources.

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Icon representing up to 50% EKS cost savings with a 30-day usage summary highlighting pre- and post-optimization differences.

Analyze cost trends
with simple graphs

A 30-day Cluster cost summary graph highlights changes before and after optimization at a glance.

con symbolizing the identification of EKS cost optimization opportunities through resource usage analysis and savings estimation.

Spot savings and optimize
resource costs proactively

Identifies optimization opportunities and estimates potential savings to maximize resource cost reduction.

Icon representing full cost visibility from EKS cluster to workload level, illustrated with a price tag symbol, emphasizing detailed cost breakdown across namespaces and resources.

Full cost visibility from
cluster to workload.

Provides detailed cost breakdowns from cluster to namespace and workload levels, ensuring complete cost visibility.

Achieve efficient Cloud operations with real-time resource analysis and cost-saving predictions.

At-a-glance dashboard for cost trends and saving opportunities.

Visualize resource usage and cost trends over the past 30 days to gain intuitive insights into your Cluster infrastructure's cost flow. Instantly identify resource waste and potential savings by comparing provisioned vs. actual usage, along with projected costs after optimization.

Detailed and granular resource cost monitoring

Access granular cost data down to the cluster, namespace, and workload levels. Easily compare and analyze resource consumption across units in your Cluster environment, enabling accurate cost tracking and responsible resource management by team or project.

Forecast potential savings
through Cluster optimization.

Simulate potential savings with automated optimization features such as spot instances, zero-resource detection, and smart scaling. In complex cluster environments, pre-analyze which workloads can be optimized and how much can be saved, enabling operators to quickly identify and apply actionable cost-saving strategies.

Make cluster cost monitoring and forecasting simple

Analyze cost trends with simple graphs