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. Review collected by and hosted on G2.com.

There’s very little to dislike. Occasionally, the recommendations can take a bit of time to refresh after major configuration changes. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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) Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

From a FinOps Manager's perspective, I don't have any dislikes of the solution. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Currently, we are working with Oracle Cloud, but unfortunately, this cloud is not supported only for node integration features. Review collected by and hosted on G2.com.