KorPro vs PerfectScale

Comparing two approaches to Kubernetes cost optimization: resource cleanup vs pod right-sizing

Approach

KorPro: Finds and removes unused resources

PerfectScale: Right-sizes running pod resources

What It Optimizes

KorPro: ConfigMaps, Secrets, PVCs, Services, Deployments

PerfectScale: CPU and memory requests/limits

Time to Value

KorPro: Immediate — remove waste in minutes

PerfectScale: Days/weeks — needs usage data collection

FeatureKorProPerfectScale
Unused Resource Detection
Cascading Orphan Detection
Pod Right-Sizing
CPU/Memory Optimization
Risk Analysis Before Changes
Read-Only Access
Security Risk Assessment
Multi-Cloud Auto-Discovery
Cost Savings Estimates
Autonomous OptimizationAudit-first
REST API
Free Tier

When to Choose Each

Choose KorPro if you:

  • Have clusters with accumulated unused resources from old deployments
  • Need to find orphaned ConfigMaps, Secrets, PVCs, and Services
  • Want immediate savings without waiting for usage data collection
  • Need security assessment of orphaned credentials
  • Prefer read-only, audit-first approach with zero production risk

Choose PerfectScale if you:

  • Know your pods are over-provisioned with too much CPU/memory
  • Want autonomous right-sizing with stability risk analysis
  • Need to optimize resource requests for running workloads
  • Are willing to give the tool time to collect usage data before recommendations
  • Want automated implementation of right-sizing changes

Better Together: Cleanup First, Then Right-Size

The most efficient approach is to use KorPro first to remove resources that shouldn't exist at all, then deploy PerfectScale to optimize the resources that remain. This avoids right-sizing workloads that serve orphaned resources — optimizing waste instead of eliminating it.

Step 1: Remove Waste

10–30%

savings with KorPro

Step 2: Right-Size

20–50%

savings with PerfectScale

Combined

30–60%

total cost reduction

Frequently Asked Questions

Does PerfectScale find orphaned resources?

No. PerfectScale focuses on CPU and memory right-sizing for running pods. It does not detect orphaned ConfigMaps, Secrets, PVCs, Services, or other unused Kubernetes objects. KorPro is purpose-built for that.

Which tool gives faster results?

KorPro delivers results in minutes — it scans for unused resources and shows findings immediately. PerfectScale needs days to weeks of usage data before it can make accurate right-sizing recommendations, since it needs to observe actual resource consumption patterns.

Which tool is lower risk?

KorPro operates with read-only RBAC and follows an audit-first approach — nothing is changed without your explicit approval. PerfectScale can autonomously adjust pod resources, which is powerful but requires trust in its recommendations. Both tools include risk assessment, but KorPro's read-only model has inherently zero risk of impacting running workloads.

Clean Up Before You Right-Size

Remove orphaned resources first for immediate savings — then optimize what remains