ScaleOps Platform

We use ScaleOps for our Kubernetes platform right-sizing our workloads.

We have Kubernetes as our shared platform and we have app teams that launch workloads to Kubernetes and we need to right-size their requests to prevent overspending on these. ScaleOps comes in and takes real-time information about these workloads and is able to optimize the request, thus using less resources. It also is used for packing our nodes, so making sure nodes are utilized at a high percentage instead of a lower percentage and having wasted compute.

We are looking to expand to the new ScaleOps features. We're still working on this, so using job optimization, replica optimization, spot optimization and building out through there.

By far the request optimization is the best feature ScaleOps offers. This alleviates the pain of having to monitor these constantly to figure out if they're oversized or undersized. ScaleOps takes that and is able to fully automate it and we've seen great success with that.

The request optimization automation saves us both time and money because we are not spending as much. We've seen a reduced cost of the underlying EC2 instances that are the nodes. By using less resources, we need less nodes, and then our application teams need to spend very little time now to make sure these requests are at a good size and that they're not oversized or undersized.

ScaleOps has positively impacted our organization by helping with the reduction of costs greatly. We've been able to save a lot of money and seen return on investment with using ScaleOps. It has also alleviated oversized requests and the work that app teams would have to do for this. I think it's also allowed us to see more information about the cluster and health. It has a lot of good dashboards within there. I think that helps with monitoring and governance.

I think that some of ScaleOps's logging can be improved to be more transparent with what ScaleOps platform is doing. Since using it, I have seen ScaleOps improve in this, but I think they still have some improvements they can make with making their monitors of what ScaleOps platform is doing better.

I think that's the primary thing I'd like to see changed or added. I'm pretty satisfied with the platform outside of that and we've seen improvements there, but I still would like to see more clarity of all the actions that ScaleOps is taking.

We've been using ScaleOps at our company for about 12 months now.

ScaleOps is active in our production environment and we've seen it as stable.

ScaleOps scales well. We haven't had any issues with it in our production clusters, so we're running it at what we would have as our full scale.

The customer support has been great. Anytime that we've needed help, they've been there for us and we have been able to have a great experience with answering questions and also driving features that we want to see on the platform forward.

Previously, we had no solution in place for what ScaleOps does for us today.

I didn't work with the contract directly. That was more done by our management level. But I did work on the initial setup and I found it really easy out of the box and easy to install in our Kubernetes clusters.

We are only the customer.

ScaleOps has reduced our costs by about 45 percent. For time, it's very tough to make a declaration of how much time it's saved us, but I do feel it has saved app teams' time because they are no longer having to look at this monitoring week by week or month by month.

We've been able to save about 45 percent on our Kubernetes costs. In terms of employees saved, we would not have been able to build this product in-house without having more employees focused on this.

I don't believe we purchased ScaleOps through the AWS Marketplace. I wasn't involved in those contracts directly, but I believe that we worked with ScaleOps directly.

I wasn't involved with the evaluation of other tooling. I know that ScaleOps emerged as a leader and was chosen by our leadership.

It's been a great experience working with ScaleOps.

I think that's pretty much it. It's a really good platform. I'm pretty happy with it. Maybe better use of Helm values, but I think they're coming a long way with that as well.

I would give them the advice of just having a slow rollout and monitoring their platform, making sure that everything continues to look good and healthy, and working with ScaleOps to validate that.

We actually have the AI capabilities fully turned off, so we do not utilize those at my company.

I would give this review a rating of 9 out of 10.

Private Cloud

Amazon Web Services (AWS)