ScaleOps

A ScaleOps case study reports Rokt placed autonomous Kubernetes compute orchestration into production during its proof of concept, without code changes or manual policies; Rokt's named cloud infrastructure lead reports a positive return on its initial contract commitment without building an in-house solution.

ScaleOps publishes large production deployments including Adobe across 500+ EKS clusters, Roku across 110+ clusters and multiple enterprise environments with major CPU/GPU savings.

ScaleOps publishes large production deployments including Adobe across 500+ EKS clusters, Roku across 110+ clusters and multiple enterprise environments with major CPU/GPU savings.

ScaleOps announced general availability of in-place pod resizing that adjusts CPU and memory allocations for running Kubernetes pods without a restart, eviction or redeployment.

ScaleOps develops autonomous Kubernetes and AI resource management that dynamically rightsizes CPU, GPU and memory and integrates with agentic workflows.

ScaleOps develops autonomous Kubernetes and AI resource management that dynamically rightsizes CPU, GPU and memory and integrates with agentic workflows.

ScaleOps raised a $130M Series C in 2026 at an $800M+ valuation, bringing total funding to $210M while expanding enterprise deployments.

ScaleOps raised a $130M Series C in 2026 at an $800M+ valuation, bringing total funding to $210M while expanding enterprise deployments.

ScaleOps reports more than 450 percent year-over-year growth and tripled its workforce over twelve months, with production enterprise customers including Adobe, Wiz, DocuSign, Salesforce and Coupa, providing operating-scale evidence independent of the previously counted Series C.

ScaleOps spans Kubernetes CPU, memory, node and GPU optimization; inference observability, batch inference, agent/model workload management, AI SRE and MCP tooling; and deployment across EKS, GKE, AKS, OpenShift, Rancher, Oracle, Alibaba, hybrid, on-premises and air-gapped environments.

Kubernetes, GPU optimization, cloud infrastructure, SRE and AI resource-management skills transfer exceptionally broadly across cloud and AI infrastructure employers.

Kubernetes, GPU optimization, cloud infrastructure, SRE and AI resource-management skills transfer exceptionally broadly across cloud and AI infrastructure employers.