OptOps
OptOps: A focused Kubernetes optimizer for teams automating rightsizing, consolidation, and spot savings. Ranked #11 of 24 in Kubernetes Cost Management Software by our editors (6.3/10); pricing: Pricing on request; best for teams automating workload and node savings.
At a glance
- Editor score6.3 / 10
- PricingPricing on request
- Best forTeams automating workload and node savings
- Allocation granularityWorkload
- Facts checked20 Sep 2026

Where it wins
- Real-time cost visibility down to workload, node type, and instance class
- Automates pod rightsizing, node consolidation, and spot-instance optimization
- Read-only installation and shadow mode support safer automation previews
Where it doesn't
- Pricing requires contact with sales rather than published plan prices
- Verified platform and integration coverage is narrower than some alternatives
- Some forecasting and alert capabilities are described as early-access or upcoming
Our verdict on OptOps
OptOps is a web-based Kubernetes cost-optimization platform for DevOps, platform, and FinOps teams. It analyzes utilization and spend across clusters, namespaces, workloads, node types, and instance classes, then identifies opportunities to reduce waste. Its automation covers pod rightsizing, node consolidation, bin-packing, spot-instance use, and sleep schedules for development and staging clusters. Optimization decisions are made inside the customer’s cluster, and the platform supports Amazon EKS, Google GKE, Microsoft AKS, and CNCF-compliant clusters.
The standout capability is the combination of continuous pod rightsizing with OOM spike protection, autonomous node consolidation, and spot-instance automation with on-demand fallback. Container live migration preserves process state, while read-only installation and shadow-mode previews provide a way to review proposed actions before enabling automation. Separate reporting for realized savings and remaining opportunity helps teams distinguish achieved reductions from future potential. Month-end spend forecasting is also part of the feature set.
OptOps fits teams that want automated workload and node savings across established Kubernetes environments, particularly where workload-level allocation and ongoing rightsizing matter. Its listed ecosystem includes EKS, GKE, AKS, Karpenter, and Cluster Autoscaler, giving it a defined fit within common Kubernetes infrastructure. Pricing is handled through platform walkthroughs, pricing discussions, and order forms, so buyers should expect a sales-led evaluation. Teams needing broader verified integrations, publicly structured plans, or a narrower visibility-only tool may prefer an alternative; teams seeking deeper optimization automation should consider OptOps.
OptOps pricing
OptOps fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Not verified |
| Allocation granularity | Workload |
| Cost forecasting | Yes |
| Rightsizing recommendations | Yes |
| Commitment optimization | Not verified |
| Budget alerts | Not verified |
| Data retention | Not verified |
| Deployment | Cloud |
| Platforms | Web |
| Support | Email, Phone |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 5 integrations: Amazon EKS, Google GKE, Microsoft AKS, Karpenter, Cluster Autoscaler |
| Pricing | Pricing on request |
| Website | optops.ai |
| Facts checked | 20 Sep 2026 |
OptOps integrations
OptOps lists 5 integrations on its own site.
- Amazon EKS
- Google GKE
- Microsoft AKS
- Karpenter
- Cluster Autoscaler
Alternatives to OptOps
- PerfectScaleBroad Kubernetes cost visibility and optimization with a free community tier.9.8
- Atmosly Kubernetes Cost OptimizationA feature-rich Kubernetes cost platform with transparent paid tiers and a useful free plan.8.7
- CAST AIA deep multicloud Kubernetes cost platform for teams prioritizing automated savings.8.2
Used OptOps? Be the first to review it
The editor score above is our own research. What this page doesn't have yet is a reader's view — what you used OptOps for, what worked and what didn't. No stars are seeded and no review is paid for; an editor reads every one before it appears.
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Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026
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