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ScaleOps

Read 6 ScaleOps reviews and testimonials from customers, explore 14 case studies and customer success stories, and watch customer videos to see why companies chose ScaleOps as their Cloud Cost Management Software

ScaleOps is the industry-first Kubernetes Optimization Platform that automatically adjusts Compute Resources to changes in real-time, streamlining a new Kubernetes experience for engineering teams. Reduce K8s costs by up to 80%. Ensure workloads SLA. Free engineers from repeated manual configurations.

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4.8/5.0 (531)

6Testimonials

  • "ScaleOps automatically manages our resources and continuously optimizes our production workloads in response to demand. This platform has resulted in significant savings, all through a hands-free experience."

    Igal Shprincis Senior Software Engineer

  • "Engineers should prioritize working on business logic instead of continually monitoring and configuring infrastructure settings, such as CPU and Memory requests/limits adjustments. Automation of this aspect is essential, and ScaleOps …

    Elad Kollender DevOps Group Manager

  • "ScaleOps automatically optimizes Wiz’s containers in production according to our real-time needs, improving performance even during demand spikes. While dramatically reducing our K8s costs, the hands-free automation freed our teams …

    Ron Tzrouya Lead Cloud FinOps & Analysis
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14 Case Studies

  • Orca Security cuts provisioned CPUs by 50% with ScaleOps

  • Roku cuts vCPU waste by 32% across 110+ Kubernetes clusters with ScaleOps

  • Adobe cuts Amazon EKS compute costs 38% with ScaleOps

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Additional ScaleOps Information & Resources

Read ScaleOps Reviews, Testimonials & Customer References from 6 real ScaleOps customers.

Browse ScaleOps Case Studies, Customer Success Stories, & Customer References from 14 businesses that use ScaleOps.

FeaturedCustomers has 2,129,539+ validated customer references including reviews, case studies, success stories, customer stories, testimonials and customer videos that will help you make better software purchasing decisions.