Viewing Cluster Details

Track resource usage and costs by cluster and workload to assess optimization efficiency.

Goal

Analyze cluster-level resource configurations, cost data, and workload details to deeply understand operational status. You can easily grasp each cluster’s optimization state and individual workload resource usage at a glance.

Viewing Cluster Details

Go to Clusters > Cluster A to view its optimization settings and status summary.

  • Policy settings like Node Spec, Smart Scaling Interval, and Zero Resource Scheduling
  • Cluster alias, environment, region, UID, and other metadata
  • 30-day cost trend graph
  • Workload-specific settings for the selected cluster

Filtering by Namespace

Use the dropdown at the top to select a namespace and filter workloads within that namespace.

A separate graph shows the resource trend for the selected namespace.
Cost and usage are aggregated by namespace, making it ideal for analyzing usage by team or service.

Detailed Workload Resource Analysis

For each workload, view CPU and memory requests vs. actual usage, estimated cost, and whether Smart Scaling and Zero Resource have been applied—allowing you to identify inefficiencies and select optimization targets.

Key Info

  • Smart Scaling / Spot Instance / Zero Resource:
    Switch toggles indicate and control each optimization setting.
  • Workload Metadata:
    UID, creation date, runtime info, number of running Pods, and other basic operational details
  • Cost Summary Graph (Last 30 Days):
    Compare 30-day resource cost trends based on pre-optimization, post-optimization, and actual usage
  • Resource Operation History Table:
    Analyze scaling patterns and resource usage trends per date—min/max Pods, average CPU/Memory usage,
    Smart Scaling effectiveness, and resource waste detection

Tip This view is crucial for Ops teams or SREs to analyze workload efficiency, validate policy settings, and track optimization outcomes.