Directory Cloud InfrastructureCloud Cost ManagementScaleOps

ScaleOps

About ScaleOps

ScaleOps automatically orchestrates the agents, inference models and applications a company runs in production. It allocates and scales CPU, GPU and memory continuously, based on workload context. It is a platform for managing Kubernetes resources.

Products

Automated Real-Time Pod Rightsizing: Adjusts CPU and memory requests in real time from workload behavior and cluster conditions.
Replica Optimization: Manages min and max replica counts and scaling triggers.
Spot Optimization: Moves more workloads to Spot instances.
Node Optimization: Consolidates and replaces nodes and removes underused capacity.
Karpenter Optimization: Tunes Karpenter instance selection and disruption budgets.

Used for

Troubleshooting cluster and workload issues.
Reporting Kubernetes costs by cluster, namespace, team, application, annotation or label.

From ScaleOps's own website, read 2026-10-23. How we build listings.

How to evaluate Cloud Cost Management

This is how the CIOPages Research Team evaluates this category. It is not an assessment of ScaleOps. It comes from our Cloud Cost Management & FinOps buyer guide.

25%

Cost Visibility & Allocation Accuracy

Multi-cloud aggregation on a common (ideally FOCUS) schema; Kubernetes pod/namespace/cluster allocation; treatment of shared and untagged cost; virtual/retroactive tagging that does not require re-tagging infrastructure; AI/GPU spend attribution

25%

Rate & Commitment Optimization

Reserved Instance, Savings Plan, and committed-use modeling and recommendations; coverage/utilization tracking; whether the tool only advises or also purchases and continuously rebalances commitments; risk controls on automated buying

20%

Usage Optimization & Automation

Rightsizing on real utilization (not averages); idle-resource detection and scheduled or automated shutdown of non-production; spot/preemptible orchestration; Kubernetes node and pod rightsizing; what executes automatically versus what only recommends

15%

Budgeting, Forecasting & Anomalies

Budget tracking with variance; trustworthy forecasting against committed and on-demand mix; anomaly detection that alerts before spend runs away; what-if modeling for migrations and commitment changes; unit-economics metrics

10%

Accountability & Workflow Integration

Showback/chargeback finance will defend; cost surfaced where engineers work (Slack, Jira, CI/CD, pull requests); policy and governance guardrails; whether recommendations create trackable tickets rather than dead-end reports

Platform, Pricing & Ecosystem Fit

API and FOCUS-export quality; SSO/RBAC and tenant isolation; whether the pricing unit (percentage of managed spend vs. flat) aligns with your growth; ownership stability after the sector’s consolidation; depth of professional services

Other Cloud Cost Management Vendors

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