KorPro vs ScaleOps
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 with write access
Permissions
KorPro: Read-only RBAC, lightweight Inspector CronJob
ScaleOps: Write access required — modifies pod specs at runtime
Approach
KorPro: Surfaces right-sizing, orphan cleanup & cloud cost savings
ScaleOps: Autonomously right-sizes active workloads in real time
Deployment
KorPro: Self-hosted Inspector via Helm — read-only, zero cloud credentials required, data stays in your cluster
ScaleOps: Self-hosted in-cluster agent (Helm), also offers ScaleOps Cloud
| Feature | KorPro | ScaleOps |
|---|---|---|
| Unused Resource Detection | ||
| Cascading Orphan Detection | ||
| Pod CPU/Memory Right-Sizing | Recommends | |
| Replica Optimization | ||
| Node Optimization | ||
| Spot Instance Optimization | ||
| GPU Optimization | ||
| Read-Only Access | ||
| Audit-First Approach | Automated changes | |
| Security Risk Assessment | ||
| Multi-Cloud Auto-Discovery | ||
| Open-Source Foundation | ||
| Transparent Pricing | Contact sales | |
| 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
- Want read-only access with zero risk of affecting running workloads
- Need a self-hosted, read-only Inspector that keeps cluster data and credentials in your own environment
- Suspect your clusters have accumulated years of unused resources
- Need security assessment of orphaned Secrets and dangling RBAC bindings
- Want transparent pricing with a free tier — no sales call required
Choose ScaleOps if you:
- Need autonomous CPU and memory right-sizing for active workloads
- Want spot instance optimization and Karpenter integration
- Have GPU workloads that need real-time resource optimization
- Run Java workloads that need JVM-aware memory tuning
- Are comfortable with an in-cluster agent that has write access to modify pod specs
Better Together
KorPro and ScaleOps target different layers of Kubernetes waste. Use KorPro first to eliminate resources that shouldn't exist, then deploy ScaleOps to right-size the workloads that remain. Right-sizing infrastructure that serves orphaned resources is wasted effort.
Step 1: Cleanup
10–30%
savings with KorPro
Step 2: Right-Size
30–80%
savings with ScaleOps
Combined
40–85%
total cost reduction
Frequently Asked Questions
Can I use both KorPro and ScaleOps together?▼
Yes — they solve completely different problems and work well in sequence. KorPro removes resources that shouldn't be running at all. ScaleOps then right-sizes the workloads that should be running. Teams that deploy both see the largest combined savings because cleanup removes waste that right-sizing tools would otherwise spend cycles optimizing.
Which tool should I deploy first?▼
Start with KorPro. It is read-only, takes minutes to set up, and delivers immediate visibility into wasted resources. Cleaning up orphaned objects first means ScaleOps will right-size a leaner cluster — not one still carrying years of accumulated waste. KorPro's audit-first approach also makes it lower risk to deploy in production from day one.
Does ScaleOps detect unused Kubernetes resources?▼
No. ScaleOps focuses exclusively on right-sizing active workloads — adjusting CPU requests, memory limits, replica counts, and node selection for running pods. It does not detect or flag orphaned ConfigMaps, Secrets, PVCs, Services, or other unused Kubernetes objects. That gap is where KorPro excels.
What level of cluster access does each tool need?▼
KorPro is self-hosted and read-only: its Inspector installs via Helm, runs entirely inside your own cluster, and never modifies your cluster state — so cluster data and cloud credentials stay in your environment, which also suits air-gapped and on-prem deployments. ScaleOps requires write permissions because it actively patches pod resource requests and limits at runtime. For security-sensitive environments, KorPro's read-only model removes the risk of an agent accidentally disrupting workloads.
Clean Up Before You Right-Size
Remove orphaned resources first — immediate savings, zero risk, read-only access. Then right-size what remains.