Available Savings

Overview

Available Savings automatically identifies cost reduction opportunities across your cluster:

Total Savings Potential - Aggregate monthly savings across all recommendations
Right-Sizing - Over-provisioned workloads using too many resources
Unused Resources - Orphaned PVCs, stopped workloads, idle load balancers
Spot Instances - Workloads suitable for spot/preemptible instances
Quick Wins - High-impact, low-effort optimizations (<1 hour)
ROI Calculator - Effort vs. savings analysis

Access: Select cluster (Clusters page or sidebar dropdown) → Available Savings

Recommendation Categories

Seven Categories:

All Recommendations - Complete list with filters
Right-Sizing - CPU/memory over-provisioned workloads
Unused Resources - Orphaned volumes, stopped services
Spot Instances - Fault-tolerant workload candidates
Autoscaling (HPA) - Dynamic scaling opportunities
Storage - Volume optimization and cleanup
Network Cost - Optimize your Cross AZ costs

Key Features

Right-Sizing Methodology:

Analyzes historical usage data
Calculates P99 usage + 35% safety margin
Shows current vs. recommended resources
Estimates monthly savings per workload

Quick Wins Section:

Low-effort recommendations (<1 hour each)
Highest ROI opportunities
Typically 12-20 recommendations
Average savings: $1,000-2,000/month

Implementation Tracking:

Track applied recommendations
Monitor savings realized
View dismissed recommendations
Monthly progress reports