KorPro vs PerfectScale
Comparing two approaches to Kubernetes cost optimization: a self-hosted, read-only Inspector that keeps your data in your cluster vs autonomous pod right-sizing
Approach
KorPro: Self-hosted, read-only — right-sizing, orphan cleanup & cloud cost analysis, data stays in your cluster
PerfectScale: Right-sizes running pod resources
What It Optimizes
KorPro: CPU/memory right-sizing, orphaned resources, cloud spend
PerfectScale: CPU and memory requests/limits
Time to Value
KorPro: Immediate — remove waste in minutes
PerfectScale: Days/weeks — needs usage data collection
| Feature | KorPro | PerfectScale |
|---|---|---|
| Unused Resource Detection | ||
| Cascading Orphan Detection | ||
| Pod Right-Sizing | ||
| CPU/Memory Optimization | ||
| Risk Analysis Before Changes | ||
| Read-Only Access | ||
| Self-Hosted (data stays in your cluster) | ||
| Security Risk Assessment | ||
| Multi-Cloud Auto-Discovery | ||
| Cost Savings Estimates | ||
| Autonomous Optimization | Audit-first | |
| REST API | ||
| Free Tier | ||
| Pod Rightsizing | ||
| Idle Workload Detection | ||
| Cloud Cost Analysis (managed services) | ||
| Orphaned + Efficiency in one tool |
When to Choose Each
Choose KorPro if you:
- Want right-sizing, orphan cleanup, and cloud cost analysis in one read-only tool
- 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
- Want a self-hosted tool — instead of sending metrics and manifests to a SaaS cloud, the Inspector keeps your data in your own cluster
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