ScaleOps Reviews & Product Details

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

What I like most is that the operational overhead of managing Kubernetes workload resources is essentially eliminated, or at least reduced to nearly zero. Review collected by and hosted on G2.com.

At the moment, I don’t have any negative points or downsides to mention about this solution. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

I think that the user interface of ScaleOps need more improvment. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.