--- 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: '2026-08-01' 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. Scaleops the resource optimizer **Rating:** 4.0/5.0 stars **Reviewed by:** Kamalakannan H. | Cloud Architect, Enterprise (> 1000 emp.) **Reviewed Date:** November 06, 2025 **What do you like best about ScaleOps?** The ScaleOps installation process is impressively simple and seamless. The Parent Dashboard feature is particularly valuable, allowing effortless management of multiple ScaleOps instances across the enterprise — a great advantage for organizations with numerous Kubernetes clusters. The ScaleOps team deserves special mention for their responsiveness and support; they are always available to address queries and proactively assist in resolving issues. One of the biggest benefits is that you no longer need to manually monitor and resize applications in each cluster. This automation translates to significant time and cost savings, making ScaleOps a highly efficient solution for enterprise-scale Kubernetes management. **What do you dislike about ScaleOps?** The cost savings projected on the dashboard should more accurately reflect the actual savings achieved through node reduction. At times, the displayed figures can be somewhat misleading. Frequent product updates require regular upgrades, which can be challenging to manage in environments with a tedious or highly controlled change management process. **What problems is ScaleOps solving and how is that benefiting you?** We manage over 200 Kubernetes clusters across our enterprise, and ScaleOps has made it significantly easier to optimize resource utilization across all of them. By efficiently managing the resources consumed by applications, ScaleOps helps keep both infrastructure usage and overall costs well under control. ### 2. Efficient Deployment with Top-Notch Support, Needs UI Improve **Rating:** 4.0/5.0 stars **Reviewed by:** Vlad Z. **Reviewed Date:** February 11, 2026 **What do you like best about ScaleOps?** I use ScaleOps to manage deployments and rationing resource usage in Kubernetes. I appreciate that ScaleOps allows us to save money without bothering developers unnecessarily to optimize resources. I find it to be a well-made application that utilizes the latest Kubernetes features. I also like the excellent documentation and support, and it covers all the use cases we need. Initially, setting it up was easy, and with the help of ScaleOps engineers, we successfully transitioned from test configuration to production-ready. **What do you dislike about ScaleOps?** The only thing that bothers me at the moment is the UI. Personally, I don't find it visually appealing or easy to use. **What problems is ScaleOps solving and how is that benefiting you?** We use ScaleOps to manage deployments and resource usage in Kubernetes. It saves money by optimizing resources without needing developer intervention. ### 3. ScaleOps Automates Resource Optimization and Saves Engineering Time **Rating:** 4.0/5.0 stars **Reviewed by:** Anshuman S. | Product Manager, Enterprise (> 1000 emp.) **Reviewed Date:** April 30, 2026 **What do you like best about ScaleOps?** What I like most about ScaleOps is that it automates resource optimization without needing constant manual tuning. I also appreciate the clear visibility into idle resources and the automated recommendations, which help save a significant amount of engineering time. **What do you dislike about ScaleOps?** Nothing specific comes to mind for me right now. **What problems is ScaleOps solving and how is that benefiting you?** I like how ScaleOps simplifies cloud cost management and scaling in Kubernetes. Being able to automatically adjust resources based on live traffic is a big win, and it makes day-to-day resource management feel much more straightforward. ### 4. Cost-Effective and Efficient with Smooth Setup **Rating:** 4.0/5.0 stars **Reviewed by:** doron m. **Reviewed Date:** October 29, 2025 **What do you like best about ScaleOps?** I appreciate how ScaleOps has enhanced our efficiency by reducing the number of servers needed for our Kubernetes operations, which means we are operating more cost-effectively and not wasting resources on unnecessary server expenditures. I find the setup process of ScaleOps to be exceptionally smooth and quick, as it only took me a few minutes to get everything up and running without any problems. The features that allow us to see exactly what we are using and saving, along with the ability to prioritize which pods will receive the correct policy, are incredibly useful for our operations. The ease of installing and upgrading the software, combined with excellent assistance from the support team, product managers, and customer success manager, makes using ScaleOps a seamless experience. **What do you dislike about ScaleOps?** I think that the user interface of ScaleOps need more improvment. **What problems is ScaleOps solving and how is that benefiting you?** I find ScaleOps reduces costs by minimizing server use for Kubernetes, increasing efficiency and preventing unnecessary spending. It aids in resource usage transparency and policy prioritization, streamlining operations and optimizing resource management. ### 5. Simple GKE Optimization and Considerable Cost Savings with ScaleOps **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Retail | Mid-Market (51-1000 emp.) **Reviewed Date:** October 28, 2025 **What do you like best about ScaleOps?** ScaleOps was easy to setup in our 6 main GKE clusters each with about ~1k unique workloads using 350 nodes and ~3k cores in total. We worked closely with ScaleOps' team during the integration, and they provided support quickly. We've saved about 30k USD per month in compute costs with ScaleOps optimized rightsizing since installing it. In addition to cost savings, we've seen a huge improvement in the frequency of OOM kills in the platform, from The automated right-sizing is much easier to scale in our organization with hundreds of developers than previous solutions for workload right-sizing. The custom policies of ScaleOps make it easy to control right-sizing for different workloads' latency, reliability, and technical needs, giving us the flexibility to drive aggressive cost optimization where we can, while leaving a wide berth for more critical and demanding workloads. Using their GitOps-style configuration of policies and attaching workloads to those policies allows us to control this at scale despite having 6k distinct workloads to configure. **What do you dislike about ScaleOps?** While running ScaleOps in-cluster offers certain benefits for reliability and security, the required Prometheus deployment consumes a significant amount of CPU and memory, which reduces our overall cost savings. Additionally, managing Prometheus ourselves means we need to develop expertise in its operation to keep ScaleOps functioning properly. As with automated rightsizing, relying on ScaleOps to maintain optimal workload sizing introduces a dependency, making ScaleOps itself a potential single point of failure in our infrastructure. There are also some bugs in the UI. For example, CronJobs do not apply their GitOps-configured policies until they actually run. The user interface is extremely sluggish, likely because of the high number of workloads we have. It appears the front-end loads all workloads into memory and manipulates them during interaction, which causes slow JavaScript responses to actions like clicking and mouse-over. Many of the features besides workload rightsizing seem immature and/or don't provide anything more than what is provided baseline by Kubernetes or GKE. For example the cluster headroom can easily be accomplished using the official Kubernetes node over-provisioning documentation (https://kubernetes.io/docs/tasks/administer-cluster/node-overprovisioning/) with significantly more ability to customize for your use-case. Their "spot optimization" feature doesn't provide any value-add for us that we don't already get from GKEs built-in compute-class feature. I'm not sure of the real-world use-case of their replicas optimization feature, but it seems completely useless to us. I think the other features besides workload rightsizing have been added as fluff to market the product to management without providing real-technical value to companies using ScaleOps. This isn't a real a problem for us, as we weren't interested in anything but workload rightsizing when we purchased the solution. **What problems is ScaleOps solving and how is that benefiting you?** ScaleOps handles continuous workload rightsizing for us across six GKE clusters (~6k workloads, ~350 nodes, ~3k cores). We define policies that reflect latency and reliability needs versus cost, attach workloads via GitOps, and it adjusts requests/limits as workloads change. The impact is measurable: roughly $30k/month in compute savings since deployment, fewer OOM kills, and less manual effort to keep sizing appropriate at scale. ### 6. Love your product — it’s powerful, efficient, and continues to evolve in the right direction. **Rating:** 4.0/5.0 stars **Reviewed by:** Ivan Y. | Site Reliability Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** October 27, 2025 **What do you like best about ScaleOps?** As an administrator, my experience with ScaleOps has been highly positive. The platform stands out for its ease of deployment and management, allowing quick onboarding and seamless integration with existing Kubernetes environments. The setup process is intuitive, requiring minimal manual configuration while still offering full control for advanced users. From a cost optimization perspective, ScaleOps delivers measurable results. Its intelligent automation dynamically adjusts resources based on workload demand, helping to significantly reduce infrastructure costs without compromising performance or stability. The built-in monitoring and analytics tools provide clear visibility into cluster utilization and scaling behavior, simplifying both operations and troubleshooting. ScaleOps also offers granular configuration options, enabling precise fine-tuning of scaling policies. Administrators can easily tailor thresholds, scaling intervals, and node group behaviors to align with application-specific needs or business SLAs. This flexibility ensures an optimal balance between performance and cost efficiency. Another strong point is the responsiveness and support quality from the ScaleOps team. Both the customer support and development teams have been proactive, providing timely assistance, clear documentation, and incorporating feedback into product updates. Their engagement reflects a genuine commitment to continuous improvement and customer success. Overall, ScaleOps is a robust, cost-effective, and admin-friendly automation platform that enhances operational efficiency, reduces cloud spend, and empowers teams to focus more on innovation rather than infrastructure management. **What do you dislike about ScaleOps?** The platform lacks sufficient fault-tolerance in its automation workflows. It’s possible to accidentally trigger a cluster automation without any confirmation or rollback option. There’s no secondary protection step or abort mechanism, which increases the risk of unintended actions on live clusters. Additionally, the update and versioning approach is not very straightforward. Bug fixes are released under the same version tag, which can create confusion when tracking system updates or validating compatibility across environments. A clearer versioning policy and more transparent update process would help improve operational control and confidence. **What problems is ScaleOps solving and how is that benefiting you?** ScaleOps helps us significantly reduce operational costs and save a substantial amount of time on the analytics side. Automating resource optimization and scaling it eliminates much of the manual effort required for performance tuning. This allows our team to focus more on strategic improvements rather than day-to-day cluster management. ### 7. Great Resource Management system **Rating:** 4.0/5.0 stars **Reviewed by:** Ilia G. | Devops TechLead, Enterprise (> 1000 emp.) **Reviewed Date:** October 28, 2025 **What do you like best about ScaleOps?** It allows you to almost completely forget about resources adjustments. It creates a very handful performance viewer that allows you and the developers to debug performance issues fast. **What do you dislike about ScaleOps?** The nodes management is lacking some display features - to be able to group nodes by labels (as we are using NetApp Spot.io for cluster autoscaler) **What problems is ScaleOps solving and how is that benefiting you?** We were used to have tasks of adjusting resources (cpu & memory), in order to save money, now it's all automated and dynamic. You don't need to find the "balanced" value (balance between cost & performance-risk) - As the system auto-updates dynamically those values (of CPU & memory requests) ### 8. Saves Time, Easy To Use, Lacks Some Essential Features **Rating:** 4.0/5.0 stars **Reviewed by:** roni . | site reliability engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** November 03, 2025 **What do you like best about ScaleOps?** Saves the need to adjust the requirements of a service when the load changes, and does it "live" - no need to deploy a new helm with the adjusted requests. Gives also great visuality into the cluster's and service's events and helps troubleshoot Customer support is highly responsive **What do you dislike about ScaleOps?** Has components that are daemonset that sometimes on small nodes have bigger requests than the workload itself which is quite wasteful Also managing the policies in code is really a needed feature **What problems is ScaleOps solving and how is that benefiting you?** Saves the need to take care of adjusting memory and CPU requests Has great visibility features ### 9. Effortless Kubernetes Scaling **Rating:** 4.0/5.0 stars **Reviewed by:** Sagi L. | DevOps Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** November 04, 2025 **What do you like best about ScaleOps?** Scallops makes resizing workloads in Kubernetes effortless. It’s truly a plug-and-play experience — we deployed it once and it’s been running smoothly ever since. It takes care of scaling automatically and has made our day-to-day operations seamless. **What do you dislike about ScaleOps?** The system is very good overall, but it’s not very intuitive or easy for non-technical users. It takes some effort to understand all the features and get the most out of the available tools. Once you get familiar with it, though, it’s incredibly powerful. **What problems is ScaleOps solving and how is that benefiting you?** Before Scallops, managing workload scaling required constant tweaking and monitoring. Now, it’s completely automated. We spend less time managing infrastructure and more time building products. It’s made our Kubernetes environment far more efficient and predictable. ### 10. Quick, Clear Results You Can See Fast **Rating:** 4.0/5.0 stars **Reviewed by:** Tomer A. | DevOps Infra TL, Mid-Market (51-1000 emp.) **Reviewed Date:** February 11, 2026 **What do you like best about ScaleOps?** We’re able to see the impact and results very quickly. **What do you dislike about ScaleOps?** I’d like to see more solutions beyond just workload rightsizing. In my view, Spot Optimization and the other options still feel more like “beta” features, and I’d really like them to feel GA, like ScaleOps’ main solution. **What problems is ScaleOps solving and how is that benefiting you?** Resource allocation with workload rightsizing. ### 11. Easy Setup and Quick Savings **Rating:** 4.0/5.0 stars **Reviewed by:** Eloise Ann F. | Director, Enterprise (> 1000 emp.) **Reviewed Date:** November 02, 2025 **What do you like best about ScaleOps?** Easy to install Immediate reduction of waste -> savings The team is very reactive **What do you dislike about ScaleOps?** Configuring the policy can be confusing The pricing is not based directly on savings. **What problems is ScaleOps solving and how is that benefiting you?** Scaleops is reducing the gap between used resources and requested resources, thus reducing over provisioning -> reducing waste. ### 12. Real-Time Rightsizing & ROI Shine, but delayed Node Auto-Modification **Rating:** 4.0/5.0 stars **Reviewed by:** Zbigniew K. | Head of SRE, Mid-Market (51-1000 emp.) **Reviewed Date:** October 28, 2025 **What do you like best about ScaleOps?** * fast implementation & pretty simple integration * rightsizing in a real-time * quite good ROI * collaborative partnership & well organized support **What do you dislike about ScaleOps?** * automatic node implementation was introduced late **What problems is ScaleOps solving and how is that benefiting you?** reduce manual work and give us savings on infra level ### 13. Effortlessly Easy to Use **Rating:** 4.0/5.0 stars **Reviewed by:** Victor X. | cloud platform manager, Enterprise (> 1000 emp.) **Reviewed Date:** October 22, 2025 **What do you like best about ScaleOps?** Ease of Use Ease of Implementation Customer Support **What do you dislike about ScaleOps?** I don't find anything yet. I think scaleops id good tool for my team **What problems is ScaleOps solving and how is that benefiting you?** we use both feature to help us reduce the overall aks cost. ### 14. PX experience with scaleops **Rating:** 4.0/5.0 stars **Reviewed by:** Liran A. | DevOps Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** November 12, 2024 **What do you like best about ScaleOps?** The product itself, but mostly the team and their desir to help every time. **What do you dislike about ScaleOps?** Sometime it caused us some problems, but the support helped us a lot. **What problems is ScaleOps solving and how is that benefiting you?** How to scale the pods in the currect way that we can with efficiancy and cost saving. - [View ScaleOps pricing details and edition comparison](https://www.g2.com/products/scaleops-cloud-native-optimization-scaleops/reviews?filters%5Bnps_score%5D%5B%5D=4§ion=pricing&secure%5Bexpires_at%5D=2026-08-01+02%3A01%3A29+-0500&secure%5Bsession_id%5D=ba25f5da-015f-45cc-8247-a37fef43927b&secure%5Btoken%5D=7d54e394aa46f2eaea50ba370bac7920203646a8593dabd78c7ad0a3d768cb66&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 (875 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 (486 reviews)