# 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:** 95 ## 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 commend the **responsive customer support** of ScaleOps, ensuring quick assistance and effective issue resolution. (46 reviews) - Users find ScaleOps to be **incredibly easy to use** , making cloud resource management seamless and efficient. (41 reviews) - Users value the **significant cost savings** provided by ScaleOps, enhancing efficiency and reducing expenses. (29 reviews) - Users value the **significant cost savings** from ScaleOps' automation, enhancing efficiency without disrupting workloads. (27 reviews) - Users commend the **easy setup** of ScaleOps, appreciating its seamless installation and efficient management across clusters. (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 experience **scaling issues** with ScaleOps, particularly on smaller nodes, leading to inefficiencies and challenges in management. (10 reviews) - Users experience **slow performance** with ScaleOps, leading to trust issues and the need for partial disabling in production. (9 reviews) - Users face **difficulties in usage** , especially during initial setup and integration, impacting efficiency and user experience. (8 reviews) - Users find the **missing features** in ScaleOps, particularly in observability, limiting their overall experience and functionality. (8 reviews) - Users find the **poor documentation** lacks clarity and examples, making it difficult to understand and use 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 Makes Kubernetes Cost Optimization Effortless with Smart Right-Sizing **Rating:** 4.5/5.0 stars **Reviewed by:** Ashish Y. | Software Engineer Platform, Enterprise (> 1000 emp.) **Reviewed Date:** April 22, 2026 **What do you like best about ScaleOps?** What I like most about ScaleOps is how it simplifies Kubernetes cost optimization without requiring constant manual tuning. It automatically right-sizes workloads, reduces waste, and improves resource efficiency while maintaining performance and reliability. The UI/UX is clean and intuitive, making it easy to understand recommendations, track changes, and monitor impact without a steep learning curve. On top of that, the pricing feels justified given the ROI—it quickly pays for itself through the cost savings it drives, especially in larger clusters where unused resources can add up significantly. **What do you dislike about ScaleOps?** One thing I find challenging about ScaleOps is that the automation can sometimes feel a bit opaque—you don’t always get deep visibility into why certain rightsizing decisions were made, which can make debugging or building trust harder initially. There’s also a bit of a learning curve when it comes to fine-tuning exclusions and policies, especially for stateful or sensitive workloads where you want tighter control. And while the UI is generally clean, it could offer more granular insights or historical comparisons to better understand long-term impact. **What problems is ScaleOps solving and how is that benefiting you?** ScaleOps is mainly solving the problem of over-provisioned and inefficient resource usage in Kubernetes clusters. In most setups, teams tend to over-allocate CPU and memory to avoid risks, which leads to significant cost wastage and underutilized infrastructure. By automatically rightsizing workloads and continuously optimizing resource allocation, ScaleOps helps ensure that applications use just the right amount of resources. This reduces manual effort and eliminates the need for constant tuning. For me, the biggest benefits are: Cost savings: noticeable reduction in cloud spend without impacting performance Operational efficiency: less time spent on manual tuning and capacity planning Reliability: avoids issues like CPU throttling or OOMs by making data-driven adjustments Scalability: works seamlessly across large clusters without adding operational overhead Overall, it allows me to focus more on platform improvements rather than constantly firefighting resource inefficiencies. ### 2. 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. ### 3. Big Savings and Better Performance with Workload Rightsizing **Rating:** 4.5/5.0 stars **Reviewed by:** Matt W. | Staff SRE, Mid-Market (51-1000 emp.) **Reviewed Date:** February 12, 2026 **What do you like best about ScaleOps?** We’re saving a fortune with workload rightsizing alone, and we’re also seeing better performance when compute demand spikes. The web interface is genuinely intuitive, and the built-in dashboards make it easy to understand every aspect of our workload performance. **What do you dislike about ScaleOps?** I would like to see more details in their documentation as to how things work under the hood. It's a bit of a black box as is. **What problems is ScaleOps solving and how is that benefiting you?** We were significantly over provisioning our workloads out of concern about performance issues during periods of high demand. With ScaleOps handling the minute-to-minute right-sizing of our workloads, we’re saving hundreds of thousands of dollars while still feeling confident it will scale up capacity immediately when utilization spikes during major events. ### 4. ScaleOps Keeps Kubernetes Costs in Check with Real-Time Optimization **Rating:** 5.0/5.0 stars **Reviewed by:** Udi-Yehuda T. | VP of Platform Engineering and Global CISO, Enterprise (> 1000 emp.) **Reviewed Date:** February 17, 2026 **What do you like best about ScaleOps?** We use ScaleOps to continuously optimize our Kubernetes infrastructure and keep cloud costs under control without slowing down our engineering teams. It provides automated, real-time visibility into resource utilization and rightsizing opportunities across clusters, helping us eliminate waste while still maintaining performance and stability. Rather than relying on manual tuning or periodic cost reviews, ScaleOps supports dynamic optimization by adjusting requests and limits based on actual workload behavior. This has noticeably improved our cost efficiency and reduced the operational overhead that typically comes with ongoing infrastructure optimization. Overall, it’s especially valuable for maintaining the right balance between performance, reliability, and financial accountability at scale. **What do you dislike about ScaleOps?** Nothing to add—it's a great product, and we’re really getting the best out of it. **What problems is ScaleOps solving and how is that benefiting you?** ScaleOps solves inefficient Kubernetes resource allocation by automatically rightsizing workloads based on real usage. It reduced cloud waste, improved cluster efficiency, and eliminated manual tuning efforts — allowing us to optimize costs without compromising reliability. ### 5. Easy EKS Setup, Real Savings, and Responsive ScaleOps Support **Rating:** 5.0/5.0 stars **Reviewed by:** Jack L. | Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** February 17, 2026 **What do you like best about ScaleOps?** ScaleOps was easy and simple to install on our EKS clusters. We saw real savings and results without impact to workloads. The ScaleOps support team was there are well to answer any questions along the way. **What do you dislike about ScaleOps?** I would like it if ScaleOps documentation was versioned so I could see changes made to docs. At times documentation has changed or been unclear, this could be improved but is still good. **What problems is ScaleOps solving and how is that benefiting you?** ScaleOps is rightsizing our workloads that have been long over provisioned resulting in unneeded spending. ScaleOps has done this in a safe and confident inspiring fashion as the UI gives an amazing look into what is happening and trace of events. ### 6. Effortless Cloud Cost Management with ScaleOps **Rating:** 4.5/5.0 stars **Reviewed by:** Marva E. | Server Team Lead **Reviewed Date:** February 11, 2026 **What do you like best about ScaleOps?** I really enjoyed how the integration with ScaleOps was super easy and fast. It only required minimal manual changes and custom configurations, and getting started was as simple as two clicks. We have many clusters and different workloads running, and we assumed the rollout would take us months, but we were able to deploy ScaleOps in a month and a half. This made the setup process incredibly smooth and efficient. **What do you dislike about ScaleOps?** Some undocumented behaviors can be surprising when encountered for the first time, like the behavior after changing the CPU requests after automation was enabled on the HPA behavior. There's a lot of documentation on installation and monitoring processes, but not so much on things to expect or known issues and behaviors that the customer needs to take into account. **What problems is ScaleOps solving and how is that benefiting you?** I use ScaleOps to reduce high cloud costs and automate resource allocations and node scheduling, eliminating manual monitoring and fixes. ### 7. Efficient Automation with Stellar Support **Rating:** 4.5/5.0 stars **Reviewed by:** João P. **Reviewed Date:** February 04, 2026 **What do you like best about ScaleOps?** I use ScaleOps to automate my Kubernetes resources, which helps decrease my cloud costs. I really appreciate that I don't need to keep reviewing my resource allocations every time because ScaleOps does it for me, and it does it in a better way by understanding the current resource usage and making decisions based on that. I like how the tool does what it needs to do perfectly, and I find the support team to be pretty helpful. Every issue I have, I get a response with a solution really fast. The initial setup was pretty easy too. **What do you dislike about ScaleOps?** I would like to be able to consider a window time longer than 30 days while being able to select a custom period of time in the UI to have a better view. I wish I were able to have a look at the values.yaml of the chart in a better way. **What problems is ScaleOps solving and how is that benefiting you?** I use ScaleOps to automate my Kubernetes resources, decreasing cloud costs, and I don't need to review resource allocations constantly since it understands current usage to make better decisions. ### 8. 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. ### 9. Effortless Kubernetes Optimization with ScaleOps **Rating:** 5.0/5.0 stars **Reviewed by:** Andrey B. | DevOps Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** November 05, 2025 **What do you like best about ScaleOps?** I've been thoroughly impressed with ScaleOps. Setting it up was incredibly straightforward—a simple Helm chart installation had everything running in no time. What stands out to me is how it handles all the tedious Kubernetes optimization tasks automatically. It determines the optimal settings for our workloads, which has significantly improved our efficiency and reduced costs, all without the need to constantly adjust resource requests by hand. The dashboard is also excellent. It provides a clear overview of activity across our clusters, offering insights that are genuinely useful for troubleshooting issues quickly. Using ScaleOps feels like having a smart assistant quietly ensuring everything stays optimized. In short, it just works, which is exactly what I want from a tool like this. I highly recommend it. **What do you dislike about ScaleOps?** No real downsides; everything runs smoothly. **What problems is ScaleOps solving and how is that benefiting you?** ScaleOps eliminates the manual effort of constantly tuning resource requests and limits in our Kubernetes clusters. It automatically adjusts workloads to the right size, helping us reduce over-provisioning and keep our cloud costs low. ### 10. Impressive Scaling capabilities and intuitive UI **Rating:** 4.5/5.0 stars **Reviewed by:** Lior R. | Senior Infrastructure Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** October 27, 2025 **What do you like best about ScaleOps?** The user interface is extremely intuitive, and the scaling works just as I hoped it would. Setting everything up is incredibly quick, with most configurations already handled out of the box, so only minimal adjustments are needed during onboarding. I also appreciate how quickly new features are released in response to customer feedback. We are using ScaleOps in all of our clusters, and we can see a great cost reduction right from the start. Except me as an administrator of the system, even the software engineers are using the system for investigate issues with workloads, kind of all in one place for kubernetes. A must-use service for any organization that mind their scaling while keeping their costs clean tide. **What do you dislike about ScaleOps?** While managing per cluster is perfect, still missing cross-cluster operations support, which is kind of must when dealing with multi clusters infrastructure. Karpenter optimization suggestions can be improved to rely on customer constrains like max pods set by the kubelet. **What problems is ScaleOps solving and how is that benefiting you?** TL;DR: This tool offers optimization on three levels—workloads, replicas, and machines. For workload optimization, I no longer have to guess the precise CPU and memory request parameters for my services. Everything is handled seamlessly in real time, which allows me to focus on other important tasks. This has resulted in significant cost savings for my organization. Additionally, it helps me investigate service issues as they arise, reducing the time needed to find a solution by at least 50% to 70%. There are also numerous dashboards that provide both Kubernetes-level and machine-level insights, giving me a much deeper understanding of my clusters. Replica optimization is just as straightforward. Determining the right number of replicas has never been easier, and it can be done with a single click. Node optimization stands out by combining awareness of both workloads and the nodes they run on. This is a notoriously difficult challenge, and I have to admit I’m genuinely impressed by how easy they’ve made it to use. ### 11. Intuitive Dashboards and Effortless Integration **Rating:** 5.0/5.0 stars **Reviewed by:** Daniel N. **Reviewed Date:** February 11, 2026 **What do you like best about ScaleOps?** I love the UI and the observability dashboards that ScaleOps offers, which provide great insights into our workloads. It makes it really easy to investigate any problems. Also, it's extremely easy to set up, and it works perfectly fine when used with ArgoCD. **What do you dislike about ScaleOps?** I think the UI user authentication process can be improved. At the moment we are storing the user access details in a ConfigMap for ScaleOps to read and allow user access. The ConfigMap can easily cross 1Mb on large clusters making it unusable. So maybe a completely different way to allow automatic user access would be great. **What problems is ScaleOps solving and how is that benefiting you?** ScaleOps right-sizes our Kubernetes workloads across 400 clusters. I love the UI and observability dashboards, which make it easy to get great insights and investigate problems. ### 12. From Guesswork to Precision: ScaleOps Transforms Our Kubernetes Operations **Rating:** 5.0/5.0 stars **Reviewed by:** Arunkumar S. | Staff Engineer DevOps, Mid-Market (51-1000 emp.) **Reviewed Date:** October 27, 2025 **What do you like best about ScaleOps?** The onboarding experience is remarkably seamless, enabling rapid deployment. The dashboard delivers exceptional visibility into our Kubernetes workloads with insights that were previously difficult to obtain. ScaleOps excels at automatically right-sizing workloads and effectively manages sudden traffic surges. The support team is outstanding—demonstrating responsiveness, deep technical knowledge, and genuine commitment to our success. **What do you dislike about ScaleOps?** The frequency of upgrades can be considerable. However, the upgrade process itself is entirely seamless and non-disruptive, making this a minor consideration. **What problems is ScaleOps solving and how is that benefiting you?** ScaleOps eliminates the complexity of resource allocation for our Kubernetes workloads. Previously, our teams over-provisioned resources to avoid performance issues, resulting in substantial inefficiencies. ScaleOps automatically optimizes workloads based on actual usage patterns, delivering measurable cost savings while maintaining performance. Its capability to handle demand spikes without manual intervention has significantly reduced operational overhead and provided confidence that our infrastructure adapts automatically to real-world conditions. ### 13. 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. ### 14. 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. ### 15. Effortless Setup, Cost Savings, and Outstanding Troubleshooting **Rating:** 4.5/5.0 stars **Reviewed by:** Dan P. | Staff Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** October 22, 2025 **What do you like best about ScaleOps?** I appreciate how easy it was to install, and how it instantly reduced the cognitive load on our application teams, making it much simpler for them to deploy their workloads effectively. Additionally, it has contributed to our efforts to save on cloud costs. What really stands out for me, though, are the excellent troubleshooting features, which have proven invaluable when assisting our app teams. **What do you dislike about ScaleOps?** The main challenge we've encountered has been ScaleOps' ability to efficiently manage fast burst workloads. Despite this, their support team has been actively collaborating with us to find solutions, which we truly appreciate. **What problems is ScaleOps solving and how is that benefiting you?** ScaleOps addresses the challenge our application development teams often encounter: determining the appropriate amount of resources required for our deployments. It handles this issue very effectively and provides a solid solution to the problem. ### 16. Total Automation with Simple Configuration **Rating:** 5.0/5.0 stars **Reviewed by:** Marcelo A. | Cloud Engineer Specialist, Enterprise (> 1000 emp.) **Reviewed Date:** March 16, 2026 **What do you like best about ScaleOps?** I like that ScaleOps is 100% automatic and requires little configuration. I mainly use it for automations in the use of Kubernetes cluster resources, which helps us save costs. Additionally, it has some troubleshooting functions that are very good. I found the initial setup very simple and easy. **What do you dislike about ScaleOps?** I think the authentication integration part is not well documented and is not easy to configure. **What problems is ScaleOps solving and how is that benefiting you?** I use ScaleOps to reduce costs and automate the use of resources in Kubernetes clusters, eliminating manual changes. ### 17. Cost-Effective Cloud Optimization, Excellent Support **Rating:** 4.5/5.0 stars **Reviewed by:** Shira A. **Reviewed Date:** February 11, 2026 **What do you like best about ScaleOps?** I like how user-friendly ScaleOps' UI is, and they continuously improve it. Additionally, the team working with us is outstanding—they are incredibly responsive and always available to support us whenever needed. Also, the initial setup of ScaleOps was very easy. **What do you dislike about ScaleOps?** Overall, our experience has been very positive. Like any evolving platform, there were some cases that required fine-tuning, but the team is very responsive and quick to address them. **What problems is ScaleOps solving and how is that benefiting you?** I use ScaleOps to reduce cloud resource costs and optimize spending. It addresses the challenge of defining resource requests correctly by dynamically adjusting them based on real usage patterns, preventing over-provisioning and saving money. ### 18. ScaleOps Feels Like an Extension of Our DevOps Team **Rating:** 4.5/5.0 stars **Reviewed by:** Haim K. | DevOps Infra Team Leader, Mid-Market (51-1000 emp.) **Reviewed Date:** November 04, 2025 **What do you like best about ScaleOps?** ScaleOps makes Kubernetes resource management effortless. Its recommendations are accurate, automation is reliable, and the UI provides instant clarity on where optimization is needed. We’ve significantly reduced wasted resources and improved performance stability since adopting it. The support team deserves special mention — they’re one of the best I’ve worked with: fast to respond, knowledgeable, and always eager to help. You can tell they really care about their users’ success. **What do you dislike about ScaleOps?** Very little. Some dashboards could expose a bit more customization, but that’s a minor point. The platform keeps evolving quickly, and the team’s responsiveness makes it easy to trust that anything missing today will likely be delivered soon. **What problems is ScaleOps solving and how is that benefiting you?** Before ScaleOps, optimizing workloads was a manual, error-prone process that often led to wasted compute and noisy alerts. Now, resource tuning is automated, data-driven, and always aligned with real usage patterns. ScaleOps provides full visibility into resource efficiency across clusters, helping us strike the right balance between cost and performance. It has freed our engineers from constant capacity tweaking and allowed us to focus on higher-impact infrastructure work. ### 19. ScaleOps: Streamlining Cloud Optimization and Automation **Rating:** 5.0/5.0 stars **Reviewed by:** Narender P. | Senior Architect, Software Engineering, Enterprise (> 1000 emp.) **Reviewed Date:** November 04, 2025 **What do you like best about ScaleOps?** ScaleOps offers a robust platform designed to automate and optimize the management of cloud infrastructure. Its user-friendly interface, combined with seamless integration with widely used DevOps tools, greatly simplifies the process of scaling and managing workloads. What stands out most is the platform’s capability to automate cost optimization and dynamically adjust resource allocations, which significantly reduces the need for manual intervention and helps ensure efficient use of cloud resources. **What do you dislike about ScaleOps?** While ScaleOps provides robust automation capabilities, getting started with onboarding and configuration can be challenging, particularly for organizations that already have legacy infrastructure in place. Certain advanced features come with a significant learning curve, and the documentation could benefit from more comprehensive details to assist with troubleshooting specific situations. Furthermore, it would be helpful if integration options were broadened beyond just the major cloud providers. **What problems is ScaleOps solving and how is that benefiting you?** ScaleOps tackles several key challenges in managing cloud infrastructure. One of its main strengths is resource optimization: ScaleOps automatically analyzes and adjusts cloud resources, so we only pay for what we actually use. This approach helps eliminate over-provisioning and cuts down on unnecessary expenses. In terms of operational efficiency, ScaleOps automates scaling decisions and infrastructure changes, which reduces manual work and the risk of human error. As a result, our DevOps teams are able to dedicate more time to higher-value projects. Another advantage is the platform’s real-time visibility. It offers clear, up-to-date insights into resource usage, spending, and potential optimization opportunities across all our cloud environments. This makes it much easier to monitor and manage our infrastructure effectively. The benefits we’ve experienced include cost savings, as automated optimization has directly lowered our cloud bills. We’ve also saved time, since our teams no longer need to spend as much effort manually monitoring and adjusting infrastructure. Finally, automated scaling has improved reliability, helping us maintain consistent application performance even during periods of high demand. ### 20. Cut your cloud costs with Scaleops and improve application performance and reliability **Rating:** 5.0/5.0 stars **Reviewed by:** anan H. | Senior DevOps, Computer Software, Mid-Market (51-1000 emp.) **Reviewed Date:** November 04, 2025 **What do you like best about ScaleOps?** Scaleops automatically optimizes k8s workloads for the services (application + infra), and it saves a lot of time and removes the guesswork from setting CPU/memory limits It helps reducing the cloud costs significantly without affecting any performance on the way it's providing a clear visibility into resource usage and scaling decisions and it's easy for integration with existing clusters, all you need to install their agents inside the cluster then you can start monitor your services/nodes/pods with their resources etc.. It's also giving the team’s better way to tune and scaling their services automatically their support team is excellent, they’re responsive, knowledgeable, and always willing to help troubleshoot or clarify how things work. It really makes the onboarding and adoption process much smoother. **What do you dislike about ScaleOps?** It would be great if ScaleOps could save state snapshots for configuration changes, allowing easy rollbacks when needed. For example, if I automate an entire cluster that includes both automated and non-automated services, I’d like the ability to roll back to the previous state if something goes wrong. **What problems is ScaleOps solving and how is that benefiting you?** Lower cloud costs Improved performance stability Less operational overhead Monitoring CPU/Memory for services Checking CPU stress, OOM and other status for your workloads ### 21. Nearly Zero Kubernetes Management Overhead **Rating:** 5.0/5.0 stars **Reviewed by:** Daniel F. | Especialista Cloud, Enterprise (> 1000 emp.) **Reviewed Date:** February 11, 2026 **What do you like best about ScaleOps?** What I like most is that the operational overhead of managing Kubernetes workload resources is essentially eliminated, or at least reduced to nearly zero. **What do you dislike about ScaleOps?** At the moment, I don’t have any negative points or downsides to mention about this solution. **What problems is ScaleOps solving and how is that benefiting you?** We managed to activate right sizing on all our workloads in a safe and controlled manner. As a result, we achieved a significant reduction in waste. ### 22. 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. ### 23. ScaleOps Slashes Our Infra Costs by 40% with Ease **Rating:** 5.0/5.0 stars **Reviewed by:** Saral J. **Reviewed Date:** October 28, 2025 **What do you like best about ScaleOps?** I love how ScaleOps provides a seamless setup process, which is as simple as deploying any other Kubernetes workload, making it extremely user-friendly. The dashboard is incredibly useful, offering automation with a single click and providing valuable suggestions tailored to my workload, such as predicting optimal resource percentages. ScaleOps solves the significant problem of resource optimization by automatically adjusting memory and CPU utilization based on traffic and usage, which has led to a substantial cost savings of 30 to 40% in my infrastructure costs. I appreciate the core VPA scaling feature that efficiently adjusts resources to traffic patterns, ensuring both performance and cost-efficiency. I also enjoy the troubleshooting features that offer out-of-the-box insights on issues like memory or pod capacity, which is a considerable time-saver compared to using tools like Grafana. Additionally, I highly value their incredible team and great support, an aspect that contributes significantly to my satisfaction, resulting in a perfect recommendation score from me. **What do you dislike about ScaleOps?** I think ScaleOps could enhance their horizontal pod autoscaling (HPA) feature and explore its functionalities further. Additionally, I am in discussions with them about introducing daemon set scaling based on node size, which is a feature I believe would be extremely beneficial. **What problems is ScaleOps solving and how is that benefiting you?** I find that ScaleOps optimizes Kubernetes workloads, automatically adjusting memory and CPU based on traffic. This saves us 30-40% on infrastructure costs, enhancing our cost efficiency significantly. ### 24. 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. ### 25. Impressive Cost Management with Stellar Support **Rating:** 4.5/5.0 stars **Reviewed by:** Scott L. **Reviewed Date:** February 12, 2026 **What do you like best about ScaleOps?** I like that as a company, ScaleOps has been very easy to work with and they've been flexible on pricing. They've provided really good support overall. The product itself is very slick and easy to use, and it's done what it's advertised and more. **What do you dislike about ScaleOps?** We had a little bit of difficulty getting it initially set up and communicating to our internal teams about the benefits of ScaleOps and why it's worth the operational cost. **What problems is ScaleOps solving and how is that benefiting you?** I use ScaleOps for managing workloads and reducing costs. It significantly optimized our cluster sizes and operating costs, reducing them by around 60%. ### 26. Essential Monitoring Tool with Outstanding Support, Hoping for More Node Management Features **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Enterprise (> 1000 emp.) **Reviewed Date:** October 27, 2025 **What do you like best about ScaleOps?** While I greatly appreciate the cost savings aspect of ScaleOps, I find it as one of my go-to tools for general observability/monitoring of our system. It provides me with an easy way to see potential issues and misconfigurations within our system. We have unearthed many "skeletons" from ScaleOps. Finally, I would be remiss without calling out the support from the ScaleOps team. On multiple occasions, we had issues in the system and the ScaleOps team helped us analyze and remediate. The issue was NOT caused by ScaleOps tooling, but they were patient and dedicated enough to walk us through the real root cause. **What do you dislike about ScaleOps?** I wouldn't call it a dislike, but I would like to see continued feature enrichment on the node management and host side. I can see what ScaleOps wants to do, but I have a difficult time following Karpenter's decision making. I would like to see this in a fully integrated view to understand pod and node movement. Additionally, I have specialized nodes running their own host applications, outside the purview of Kubernetes and sometimes impacting resource management. It would be incredible to have ScaleOps be aware of those system resource usage and factor that into kubelet/system reserved capacity. **What problems is ScaleOps solving and how is that benefiting you?** - Properly provisioning infrastructure capacity to match workload need. We had very little resource requests configuration and had limited time to invest in determining those values. Our clusters run at much higher utilization now, this is a big cost savings. - System misconfigurations. ScaleOps made erratic service behavior more obvious. We were able to chase down various issues that we noticed from the ScaleOps UI versus our own dashboards. This helped us to pinpoint issues and reduce resolutions times. ### 27. 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. ### 28. Proactive Support and Intuitive UI Make ScaleOps a Top Choice **Rating:** 5.0/5.0 stars **Reviewed by:** Nir B. **Reviewed Date:** October 27, 2025 **What do you like best about ScaleOps?** I find ScaleOps incredibly effective for automating resource optimization across our Kubernetes clusters, which has significantly improved our cost efficiency and reduced the need for manual intervention. The ease of use and intuitive, clear UI make navigating and applying different policies straightforward, especially with the helpful auto-detection feature. ScaleOps' proactive support is remarkable; they initiate contact when issues arise, providing guidance and hands-on help without us needing to reach out first. I also appreciate the feature that displays resource utilization for each node, providing clear visibility into cluster performance, which, along with the ability to compare memory and CPU requests versus actual usage over time, aids us in understanding and optimizing resource efficiency. These capabilities help us make informed decisions about scaling and resource allocation, preventing over-provisioning and improving operational efficiency. I particularly admire the ease of setup and the support we received, which clarified limitations and helped address any challenges effectively. Overall, ScaleOps is a reliable tool that I'd choose again for its user-friendly interface, proactive support, and efficient resource optimization capabilities, and I would highly recommend it. **What do you dislike about ScaleOps?** I experienced situations where the cluster didn't have enough available resources due to additional replicas attempting to scale up without finding a free node. Also, there were instances where replicas did not initially receive the ScaleOps resource definitions, disrupting their operations. Furthermore, we faced cases where a resource would not immediately adopt the ScaleOps configurations, requiring termination or a restart before the proper policy was applied. **What problems is ScaleOps solving and how is that benefiting you?** I use ScaleOps to automate resource optimization in Kubernetes, improving cost efficiency and reducing manual intervention. It helps us make informed scaling decisions, preventing over-provisioning and enhancing operational efficiency. ### 29. 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. ### 30. 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. ### 31. Transparent, Intelligent Kubernetes Optimization with Seamless Integration **Rating:** 5.0/5.0 stars **Reviewed by:** Asia S. | Director of Devops and Infra SA, Mid-Market (51-1000 emp.) **Reviewed Date:** October 22, 2025 **What do you like best about ScaleOps?** ScaleOps offers a transparent and automated layer of intelligence for optimizing Kubernetes clusters. What I appreciate most is the level of transparency and control it provides; unlike black-box autoscalers, ScaleOps allows me to see the reasoning behind every recommendation or adjustment it makes. The insights into cluster utilization and potential savings are outstanding, and its integration with our existing CI/CD and monitoring workflows has been completely seamless. Most importantly, their customer support is exceptional; They are very responsive, knowledgeable, and genuinely considerate. It’s one of the best support experiences I’ve encountered. **What do you dislike about ScaleOps?** There are a lot of upgrades, which can feel excessive at times. However, I understand that since Kubernetes is updated frequently and its features evolve, the developers need to continually adjust the code to keep up. **What problems is ScaleOps solving and how is that benefiting you?** ScaleOps addresses the ongoing challenge of balancing performance, reliability, and cost efficiency within Kubernetes clusters. By automating the optimization of compute resources, it continuously analyzes actual usage patterns, intelligently scales workloads, and pinpoints idle or overprovisioned nodes. For our team, this has resulted in notable cost savings, enhanced cluster efficiency, and a reduction in the manual effort required for capacity management. ### 32. 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 ### 33. 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) ### 34. 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 ### 35. Intuitive UI, Cost Savings, and Stellar Support **Rating:** 5.0/5.0 stars **Reviewed by:** Aviv H. | DevOps Team Lead, Enterprise (> 1000 emp.) **Reviewed Date:** October 29, 2025 **What do you like best about ScaleOps?** Intuitive UI - The platform is very clean, simple, and easy to navigate. Cost Optimization – ScaleOps effectively reduces infrastructure costs without compromising the robustness or performance of the systems. Great Team Support – The team is highly responsive and proactive, always ready to help with any questions or setup needs. **What do you dislike about ScaleOps?** ScaleOps & Keda – When implementing ScaleOps together with KEDA, it’s important to ensure that workload requests accurately match actual usage. This alignment is key for the optimization algorithms to perform effectively **What problems is ScaleOps solving and how is that benefiting you?** Reduce our EKS cloud costs by closing the gap between requested resources and actual usage. ### 36. ScaleOps does what it says on the tin: It saves money! **Rating:** 5.0/5.0 stars **Reviewed by:** James P. | Staff Site Reliability Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** October 22, 2025 **What do you like best about ScaleOps?** It works great, and was easy to set up, and it saves a lot of k8s resources. Saving resources means saving money. The documentation and customer support are both really great too. **What do you dislike about ScaleOps?** Because ScaleOps works magic with kubernetes workload requests, some stakeholders are nervous about it, not being willing to give up manual control-- Luckily those fears are unfounded, and it is easy to opt-out workloads **What problems is ScaleOps solving and how is that benefiting you?** Guessing the optimal safe resources for kubernetes workloads is hard, even with good metrics. ScaleOps tackled that problem from several angles at once, and it optimizes them in real-time. ### 37. Uncovered Hidden Savings with ScaleOps—Easy, Friendly, and Worth Every Penny **Rating:** 4.5/5.0 stars **Reviewed by:** Steven M. | Sr Manager Cloud FinOps, Enterprise (> 1000 emp.) **Reviewed Date:** October 28, 2025 **What do you like best about ScaleOps?** ScaleOps helped our team uncover savings that we didn't know existed. The platform has been easy to use, the team has been very friendly, and above all, the tooling has paid for itself and then some. I'm excited for the continued partnership with the ScaleOps team. **What do you dislike about ScaleOps?** From a FinOps Manager's perspective, I don't have any dislikes of the solution. **What problems is ScaleOps solving and how is that benefiting you?** While migrating to Kubernetes, we knew we over-provisioned our resources. We turned to ScaleOps to help optimize our capacity and capture savings. The solution provided more savings than we initially expected. ### 38. Impressive Features and Customization for Efficient Scaling **Rating:** 5.0/5.0 stars **Reviewed by:** Ankit K. | Senior devops engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** October 27, 2025 **What do you like best about ScaleOps?** Scaleops features are really impressive and when i was started working with Scaleops, it provides me the better ideas about how we can automate the k8s service for cost optimisation. Easy to use and easy to automate our services. Easy to scale-up and scale-down the services according to workload. User friendly UI. Custom policy support a/c to our requirement. **What do you dislike about ScaleOps?** Scaleops scan our k8s services and whatever details it fetch from cluser, it show over UI. I observed some of the HPA which is not in use should be handled from Scaleops backed. **What problems is ScaleOps solving and how is that benefiting you?** Scaleops help us to reduce our k8s service cost, scaling up and down pods according to the load. This is cost efficient for us and easy to automate k8s clusters and services. ### 39. Excellent Features and Support, But Lacks Oracle Cloud Integration **Rating:** 4.5/5.0 stars **Reviewed by:** Heitor C. | Site Reliability Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** October 22, 2025 **What do you like best about ScaleOps?** The tool is very easy to implement and helps improve operational excellence while reducing costs. The customer support is excellent, and it offers strong features and support for the major cloud platforms. **What do you dislike about ScaleOps?** Currently, we are working with Oracle Cloud, but unfortunately, this cloud is not supported only for node integration features. **What problems is ScaleOps solving and how is that benefiting you?** Before using ScaleOps, we struggled with high costs and inefficiency caused by Kubernetes scaling features. Now, with this tool, we can automatically manage right-sizing and other functions, which has helped us reduce expenses and improve our operational excellence. ### 40. 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. ### 41. Outstanding Kubernetes Optimization! **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Aviation & Aerospace | Enterprise (> 1000 emp.) **Reviewed Date:** October 27, 2025 **What do you like best about ScaleOps?** This tool not only delivers on its promises but also exceeds expectations. I consider it an essential addition to almost all Kubernetes clusters. **What do you dislike about ScaleOps?** So far, I haven't encountered any downsides. The tool performs exactly as needed, making it easy to achieve efficient CPU and memory allocation within Kubernetes. **What problems is ScaleOps solving and how is that benefiting you?** Our problem WAS hundreds of applications deployed into a Kubernetes cluster with no way to manage the normal over-provisioning of cpu & memory needed for pods that essentially is wasting costly compute you are running. ScaleOps solves this by scaling these requests down to what is actually needed and managing them over time, which takes a human out of the equation and saves countless hours of labor. ### 42. 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. ### 43. Cost Savings Without Compromising Workload Performance **Rating:** 5.0/5.0 stars **Reviewed by:** Abhishek K. | Senior Engineering Manager, Enterprise (> 1000 emp.) **Reviewed Date:** November 03, 2025 **What do you like best about ScaleOps?** Cost savings while making sure the workloads are not impacted because of the movement. Very easy to get started and to implement. Great customer support, we have a dedicated slack channel where we get responses very quickly. They keep on adding more and more useful features. **What do you dislike about ScaleOps?** They are still relatively new, and sometimes there are edge cases that are not caught before we hit them. **What problems is ScaleOps solving and how is that benefiting you?** Cost savings, scaling issues. ### 44. Absolutely Love This Software! **Rating:** 5.0/5.0 stars **Reviewed by:** Yashdeep T. | software engineer, Enterprise (> 1000 emp.) **Reviewed Date:** October 22, 2025 **What do you like best about ScaleOps?** The ScaleOps team has been very supportive throughout the complete journey of integrating the service with our existing infrastructure and beyond. They have also been quite proactive at tackling issues. The product itself is well designed and executed, providing cost savings without compromising on availability. **What do you dislike about ScaleOps?** Being a new product, we did run into some issues after version upgrades, and I felt additional scale testing and testing more diverse scenarios could have caught those. But the team came back with quick troubleshooting and fixes. **What problems is ScaleOps solving and how is that benefiting you?** For Rubrik, ScaleOps has been instrumental in saving costs by right-sizing services without the overhead of managing configuration for all of them in different environments with varied scale. ### 45. Scaleops allowed us to dramatically reduce costs and keep our cloud bill in check **Rating:** 5.0/5.0 stars **Reviewed by:** Scott E. | Solutions Architect, Enterprise (> 1000 emp.) **Reviewed Date:** November 04, 2025 **What do you like best about ScaleOps?** I really appreciated how straightforward it was to get started. Our customer team played a significant role in ensuring we made the most of the tool. Once we activated and configured it, we began to see savings right away. **What do you dislike about ScaleOps?** Scaleops enables direct deployment of certain configurations to the cluster. However, we prefer to manage all deployments through IAC for better auditability. If changes are made directly, it would be helpful to have a way to track and audit those modifications. We have experienced situations where users unintentionally deployed changes. **What problems is ScaleOps solving and how is that benefiting you?** We had a problem of over provisioning of spark jobs. Scaleops right sizes those requests. ### 46. Plug-and-Play Simplicity, But Needs Better Support and Accurate Savings **Rating:** 3.0/5.0 stars **Reviewed by:** Alrick D. | Production engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** November 03, 2025 **What do you like best about ScaleOps?** Plug and play tech. Even though we took some time to onboard ScaleOps onto our clusters, our major bottleneck was convincing people we need it. **What do you dislike about ScaleOps?** ScaleOps get's really big for bulky clusters and requires to be maintained. Prometheus failing and Dashboards not loading in particular. Additionally, ScaleOps savings are misleading. I would also like to get an idea of how much money I have actually saved and. The support model, in air gapped cases like ours isn't too great because it takes a lot of the engineer's time to debug ScaleOps. **What problems is ScaleOps solving and how is that benefiting you?** Vertical pod autoscaling to save cloud costs and make pods reliable ### 47. 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. ### 48. Expert Kubernetes Enhancements with Outstanding Support **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Publishing | Enterprise (> 1000 emp.) **Reviewed Date:** November 04, 2025 **What do you like best about ScaleOps?** The product does a lot of nuanced configuration improvements on Kubernetes; you can tell these guys live & breathe Kubernetes. The sales support team is top-notch as well. **What do you dislike about ScaleOps?** Minimum core count seems to be in play during the sales process. I have a feeling this product would be useful for a lot of smaller users. **What problems is ScaleOps solving and how is that benefiting you?** ScaleOps is the brain behind our EKS cluster cost-optimization strategy. In 1 alternative use-case, we are using ScaleOps with an on-premises RKE cluster to optimize the pod placement for workloads that are large batch jobs running in a finite fleet of on-premises worker nodes. ### 49. Instant Cloud Savings, But UI Needs Improvement **Rating:** 4.5/5.0 stars **Reviewed by:** Yoni R. | Software Infra Team Leader, Mid-Market (51-1000 emp.) **Reviewed Date:** October 22, 2025 **What do you like best about ScaleOps?** For many "standard" use cases, ScaleOps starts reducing cloud costs automatically and immediately after installation, with 0 tinkering or configuration required. Support for more complex and less "standard" use cases does require configuration and tinkering in order for the product to provide value. However, the documentation and support are quite good. **What do you dislike about ScaleOps?** I find the UI to be non intuitive and difficult to navigate. **What problems is ScaleOps solving and how is that benefiting you?** Reduce cloud costs ### 50. Easy to use UI which provided some instant insights and immediate gains **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Consumer Electronics | Enterprise (> 1000 emp.) **Reviewed Date:** November 03, 2025 **What do you like best about ScaleOps?** Solid UI that immediately provided some insights about our costs we could not figure out using other tools. Using this we got some very very quick TODOs that helped optimize things and project future cost with a lot more confidence. **What do you dislike about ScaleOps?** I think the UI by default was very exact about cost reductions but when you dig into them several there's sometimes hidden gotchas like OOMing states remaining high even with current memory overhead. I think this UI should have a few asterisks added or use the word "potential" in several places. **What problems is ScaleOps solving and how is that benefiting you?** Cost insights for key workloads - [View ScaleOps pricing details and edition comparison](https://www.g2.com/products/scaleops-cloud-native-optimization-scaleops/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-17+01%3A28%3A45+-0500&secure%5Bsession_id%5D=2a064251-6ed3-48ac-b6f6-a96476c60986&secure%5Btoken%5D=7c0892c99c7af0ad7a6505bc3dad700c642a8c569b63ac38d5a50e1bd1150bc1&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 (689 reviews) - [ServiceNow IT Asset Management](https://www.g2.com/products/servicenow-it-asset-management/reviews) - 4.3/5.0 (432 reviews)