--- title: ScaleOps Reviews meta_title: 'ScaleOps Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 96 reviews by the users' company size, role or industry to find out how ScaleOps works for a business like yours. aggregate_rating: rating_value: 4.6 review_count: 96 scale: '5' date_modified: '2026-08-07' parent_category: name: IT Management url: https://www.g2.com/categories/it-management --- # ScaleOps Reviews **Vendor:** ScaleOps - Cloud-Native Optimization **Category:** [Cloud Cost Management Tools](https://www.g2.com/categories/cloud-cost-management) **Average Rating:** 4.6/5.0 **Total Reviews:** 96 ## About ScaleOps ScaleOps is a cloud resource management platform designed to automate resource optimization in real-time based on application context-awareness. This innovative solution continuously monitors live application behavior and dynamically adjusts Kubernetes workload resources according to actual usage and contextual demands. By leveraging ScaleOps, organizations can achieve significant cost reductions, of up to 80%, while ensuring that availability, performance, and compliance with production constraints are maintained. The primary target audience for ScaleOps includes DevOps teams, cloud architects, and IT administrators who manage Kubernetes environments. These professionals often face challenges related to resource allocation, cost management, and application performance. ScaleOps addresses these issues by providing a solution that operates autonomously, eliminating the need for manual intervention or code modifications. This allows teams to focus on higher-level strategic initiatives rather than getting bogged down in the minutiae of resource management. Key features of ScaleOps include automated pod-level resource management, which encompasses CPU, memory, replicas, and scheduling. This capability allows the platform to adapt in real-time to the changing behavior of workloads, ensuring optimal resource utilization. Additionally, ScaleOps employs application context-aware optimization, taking into account factors such as burstiness, Pod Disruption Budgets (PDBs), statefulness, and the presence of noisy neighbors. This level of sophistication enables organizations to maintain performance and availability even in complex environments. ScaleOps also offers flexible deployment options, making it suitable for various infrastructures, including air-gapped, on-premises, hybrid, and cloud-native environments. Its compatibility with existing Kubernetes scaling tools, such as Horizontal Pod Autoscaler (HPA), KEDA, and Karpenter, allows for a gradual rollout without disrupting current systems. Furthermore, the platform provides granular policy control, enabling teams to define performance, cost, or availability priorities at the namespace, workload, or environment level. This feature empowers organizations to tailor their resource management strategies to meet specific operational goals and constraints. By integrating seamlessly into existing workflows and providing continuous, context-aware resource optimization, ScaleOps stands out as a comprehensive solution for organizations looking to enhance their Kubernetes resource management. Its unique approach not only drives cost efficiency but also ensures that applications run smoothly and reliably, regardless of the underlying infrastructure. ## ScaleOps Pros & Cons **What users like:** - Users value the **exceptional customer support** from ScaleOps, enhancing their satisfaction and experience with the product. (46 reviews) - Users appreciate the **ease of use** of ScaleOps, simplifying installation and enhancing workflow management effectively. (41 reviews) - Users experience significant **cost savings of 30-40%** with ScaleOps, enhancing efficiency and reducing infrastructure expenses. (29 reviews) - Users highlight the **substantial cost savings** achieved with ScaleOps, reducing infrastructure costs by 30-40% effectively. (27 reviews) - Users appreciate the **easy setup** of ScaleOps, facilitating quick integration and efficient management of workloads. (24 reviews) - Users highlight ScaleOps as **cost-effective** , achieving significant savings and enhanced resource efficiency in Kubernetes management. (22 reviews) - Pricing (22 reviews) - User Interface (21 reviews) - Cost Management (19 reviews) - Users value ScaleOps for its **intuitive user interface** , enabling quick setup and efficient management of K8s workloads. (18 reviews) **What users dislike:** - Users face **scaling issues** with ScaleOps, especially in large clusters, affecting efficiency and support interactions. (10 reviews) - Users experience **slow performance** with ScaleOps, particularly in large environments, impacting trust and usability. (9 reviews) - Users face **difficulty in usage** with ScaleOps due to onboarding challenges, a non-intuitive UI, and limited documentation. (8 reviews) - Users note the **missing features** in ScaleOps, particularly the lack of cross-cluster support and export options. (8 reviews) - Users find ScaleOps' **poor documentation** hinders onboarding and troubleshooting, making it challenging to utilize its features effectively. (8 reviews) - Users find the **poor UI design** of ScaleOps challenging, making navigation and functionality cumbersome. (8 reviews) - Users report that the **UI has lags and requires significant improvement** , impacting their overall experience with ScaleOps. (8 reviews) - Pricing Issues (5 reviews) - Dashboard Issues (4 reviews) - Limited Functionality (4 reviews) ## ScaleOps Reviews ### 1. Dynamic Resource Optimization That Cuts Costs and Keeps Workloads Stable **Rating:** 4.5/5.0 stars **Reviewed by:** Murugan U. | Senior platform engineer, Enterprise (> 1000 emp.) **Reviewed Date:** February 11, 2026 **What do you like best about ScaleOps?** The best part of ScaleOps is its dynamic resource optimization. It automatically adjusts workloads based on real usage, which significantly reduces over-provisioning and cuts costs without risking stability. **What do you dislike about ScaleOps?** “In some scenarios with sudden traffic spikes, we’ve noticed that adjustments can take a little time to fully catch up. It would be great to see even faster responsiveness in those edge cases. Additionally, we’re still exploring the full feature set, so there may be opportunities for us to leverage more of its capabilities to maximize the benefits. **What problems is ScaleOps solving and how is that benefiting you?** ScaleOps solves this by dynamically adjusting resource reservations based on actual usage patterns and historical data. This has significantly reduced wasted resources, improved cluster efficiency, and lowered infrastructure costs while maintaining application stability. ### 2. Great UI and Insights, But Slows Down with Large Clusters **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** October 26, 2025 **What do you like best about ScaleOps?** While Kubernetes now supports native vertical pod autoscaling, it's very helpful to have a proper UI with dashboards and being able to search through the entire workloads. The built-in policies works perfect for most of the cases. The error and warning indicators in "Node Management" and "Pods Rightsizing" help us to find infrastructure issues. **What do you dislike about ScaleOps?** It gets really slow when working against large EKS cluster (800 Nodes). When aggregation 10+ clusters, indexing also get slow. Would love more examples or clearer descriptions on configurable parameters in policies, etc. **What problems is ScaleOps solving and how is that benefiting you?** It helps us to drastically reduce compute cost across our development and production Kubernetes clusters. We can assign high default resources for our services, and optimize them over time by actually looking at the collected usage data, while keeping the costs low even in the optimization period. For our large Kuberenets environments with clusters with more than 800 nodes, we can let ScaleOps manage VPA of almost all of the workloads. We also benefit a lot from the UI and dashboards with the insights and cost data that we can collect. ### 3. Powerful Automation for Smarter Cloud Optimization **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Mid-Market (51-1000 emp.) **Reviewed Date:** October 26, 2025 **What do you like best about ScaleOps?** ScaleOps has been a game changer for managing our cloud resources efficiently. The platform provides clear visibility into cluster performance and resource utilization, helping us optimize workloads automatically without constant manual intervention. I especially appreciate how seamless it is and how intuitive the UI is — you can immediately see where savings are coming from. The automation features around scaling and right-sizing save both time and cost, and the reporting insights make it easy to communicate value to stakeholders. Overall, it simplifies complex cloud optimization into something actionable and easy to manage. **What do you dislike about ScaleOps?** There’s very little to dislike. Occasionally, the recommendations can take a bit of time to refresh after major configuration changes. **What problems is ScaleOps solving and how is that benefiting you?** ScaleOps helps us tackle one of the biggest challenges in cloud operations — maintaining performance while controlling costs. Before using it, we spent a lot of time manually right-sizing workloads, tracking utilization, and managing scaling policies across environments. ScaleOps automates that entire process, ensuring our clusters scale efficiently based on real usage rather than static assumptions. The biggest benefits have been cost savings, reduced operational overhead, and increased reliability. We no longer need to overprovision resources “just in case,” and we have far better visibility into when and why workloads are scaling. It’s also improved collaboration between our FinOps and DevOps teams by providing a shared, data-driven view of cloud efficiency. ### 4. Saves Money **Rating:** 5.0/5.0 stars **Reviewed by:** Shahaf Y. | DevOps Team Leader, Enterprise (> 1000 emp.) **Reviewed Date:** November 03, 2025 **What do you like best about ScaleOps?** It does what it needs to be done - it saves money :) It also nice to have the dashboards and monitoring tools even though its not what it meant to be from my point of view. We use if in a few "low" environment and didn't face any major issues. Once implemented, its really easy to use and control. **What do you dislike about ScaleOps?** We had some performance issues while using Scaleops in our production environment causing us to partly disabling it and losing trust in the product. The configuration can be easier to control. **What problems is ScaleOps solving and how is that benefiting you?** It optimizing our EKS cluster and saves cost while maintaining good performance ### 5. Cost-Saving Automation and Great Support, But Needs More Observability Features **Rating:** 4.5/5.0 stars **Reviewed by:** Lev F. | DevOps Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** November 04, 2025 **What do you like best about ScaleOps?** The auto right-sizing works and saves us money constantly. There is a very friendly approach by the tech and customer care departments. **What do you dislike about ScaleOps?** There are still many features missing, most of them related to observability. Loading graphs for extended periods, like 2 weeks or 30 days, can take time. **What problems is ScaleOps solving and how is that benefiting you?** The problem it's solving: needs to define the correct request per micro service. Before ScalOps, many of the services were over-provisioned. ### 6. Simple automation and dashboards that make the main tools easy to use **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** February 04, 2026 **What do you like best about ScaleOps?** the simplicity to use the main tools, the automation and dashboards. **What do you dislike about ScaleOps?** CostReports fills like incomplete and it's not possible compare with previous months.. even on performance to decide best requests. **What problems is ScaleOps solving and how is that benefiting you?** they improved my finops objetives during requests optimization on my cluster. ### 7. Feature-Rich Kubernetes Rightsizing with Rapid introduction of new Features **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.) **Reviewed Date:** October 23, 2025 **What do you like best about ScaleOps?** ScaleOps is by far the most feature rich rightsizing solution available for Kubernetes. The team anticipates needs and releases powerful and fully baked features month after month. The tool is robust and comprehensive and is lacking nothing. **What do you dislike about ScaleOps?** I have no complaints. The UI was sluggish, but the ScaleOps team iterates at lightspeed and has released improvement after improvement. **What problems is ScaleOps solving and how is that benefiting you?** ScaleOps allows us to reduce our cluster costs by over 50% and avoid managing resource requests in most of our clusters ### 8. Insightful Analytics and a Beautiful UI **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** November 05, 2025 **What do you like best about ScaleOps?** the way they give the insights, enriched UI **What do you dislike about ScaleOps?** API docs - when we want to automate there was a lack of enough API and UI was kind of slow. **What problems is ScaleOps solving and how is that benefiting you?** when we started container journey we kind of overprovisioned our services, with scaleops we could control it. ### 9. Reliable Delivery, But UI Needs Speed Improvement **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Retail | Mid-Market (51-1000 emp.) **Reviewed Date:** October 29, 2025 **What do you like best about ScaleOps?** They deliver, their solution indeed saves cost and provides good monitoring to our clusters' state. **What do you dislike about ScaleOps?** Their UI has lags and could be slow at times. **What problems is ScaleOps solving and how is that benefiting you?** Right-sizing services' CPU/memory request. - [View ScaleOps pricing details and edition comparison](https://www.g2.com/products/scaleops-cloud-native-optimization-scaleops/reviews?filters%5Bsentiment_snippet%5D=2329032&qs=pros-and-cons§ion=pricing&secure%5Bexpires_at%5D=2026-08-12+17%3A59%3A37+-0500&secure%5Bsession_id%5D=b3dd9c7e-bce1-4474-a825-4e4072d454a8&secure%5Btoken%5D=0d27e8f7c885efb404a567146fb3432b9ca474b359f6206bf99fe68ed2ab6a76&format=llm_user) ## ScaleOps Integrations - [Amazon EC2](https://www.g2.com/products/amazon-ec2/reviews) - [Amazon Elastic Kubernetes Service (Amazon EKS)](https://www.g2.com/products/amazon-elastic-kubernetes-service-amazon-eks/reviews) - [Argo CD](https://www.g2.com/products/argo-cd/reviews) - [Google Cloud](https://www.g2.com/products/google-cloud/reviews) - [Helm](https://www.g2.com/products/helm-helm/reviews) - [IBM Terraform (formerly HashiCorp Terraform)](https://www.g2.com/products/ibm-terraform-formerly-hashicorp-terraform/reviews) - [Keda](https://www.g2.com/products/keda/reviews) - [Kubernetes](https://www.g2.com/products/american-cloud-kubernetes/reviews) - [Kubernetes](https://www.g2.com/products/kubernetes/reviews) - [Microsoft Azure](https://www.g2.com/products/microsoft-microsoft-azure/reviews) - [Oracle Cloud](https://www.g2.com/products/oracle-cloud/reviews) - [Prometheus](https://www.g2.com/products/prometheus/reviews) - [Red Hat OpenShift](https://www.g2.com/products/red-hat-red-hat-openshift/reviews) - [Slack](https://www.g2.com/products/slack/reviews) - [SUSE Rancher](https://www.g2.com/products/suse-rancher/reviews) ## ScaleOps Features **Operations** - Scheduling - Automation - Multi-Cloud Management - Usage Monitoring **Automated resource scaling** - Automatic resource discovery - Smart scaling **Cost Optimization** - Spend Forecasting and Optimization - Recommendations - Spend Tracking **Scaling strategies** - Pre-defined optimization strategies - Predictive scaling **Administration** - Reporting - Dashboards and Visualizations - Compliance **Visualization** - Unified scaling - Dashboard **Agentic AI - Cloud Cost Management** - Autonomous Task Execution - Proactive Assistance - Decision Making ## Top ScaleOps Alternatives - [Google Compute Engine](https://www.g2.com/products/google-compute-engine/reviews) - 4.5/5.0 (876 reviews) - [Datadog](https://www.g2.com/products/datadog/reviews) - 4.4/5.0 (715 reviews) - [ServiceNow IT Asset Management](https://www.g2.com/products/servicenow-it-asset-management/reviews) - 4.3/5.0 (496 reviews)