What I have been involved most with is the API. So I like the flexibility it provides. We used it to build our cost dashboards that we need to for our internal cost monitoring

Also we had chats with the engineering team for some of our requests and they were very responsive which made collaboration smooth and helped us get our results in time. Review collected by and hosted on G2.com.

My primary interaction was with the API overall Im very happy with it, maybe some more examples in the documentation would be nice. Review collected by and hosted on G2.com.

Cast AI has a simple UI that makes it easy for everyone on your team to understand what’s overprovisioned, along with suggested steps to take to right-size the resources. That simplicity is what I like best. Review collected by and hosted on G2.com.

The Cast AI interface sometimes suggests optimisations that, if applied blindly, may not actually be optimal. I’ve noticed this particularly with resources that are only up for short durations (1–2 minutes) per run, but run frequently (multiple times a day), such as background jobs running on spot instances. Review collected by and hosted on G2.com.

CAST AI abstracts the nuisance of provisioning and scaling nodes and its UI provides a holistic view of the cluster status with usage metrics. I really appreciate the cluster rebalancer that optimizes workloads. The node template and node configuration offer superb flexibility for segregating workloads. What I love most is CAST AI's obsession with customer feedback. They connected with us to understand our requirement for using fractional GPU on templates and surprisingly delivered this feature in just two weeks. Review collected by and hosted on G2.com.

I dont have any Review collected by and hosted on G2.com.

I really like the user experience in CAST AI, especially the easy-to-use console. It allows us to manage clusters easily, see which policies are attached to which workload, and enable or disable workloads. This usability is one of the best parts for me. Review collected by and hosted on G2.com.

No such things Review collected by and hosted on G2.com.

I like the hands-free automation that actually executes changes rather than just giving advice. It eliminates manual toil by automating cost-saving infrastructure changes instantly. Before using CAST AI, our Kubernetes spend was a black box, and after connecting it, we discovered we were over-provisioned by 40%. The automated rebalancing cut our monthly bill by half within the first week. Review collected by and hosted on G2.com.

I feel it's costly. The setup complexity is an issue along with limited documentation and pricing. I wish there was better SMB pricing, clearer onboarding, and more granular policy documentation. Review collected by and hosted on G2.com.

I love CAST AI's ability to let me right-size the instance type based on its findings and recommendations. It helps us identify where we over-provision our EC2 fleet and adjust it optimally to reduce AWS spending. The initial setup was pretty easy. Review collected by and hosted on G2.com.

We're running into infrastructure drift that we have to manage outside of CAST AI. Infrastructure drift is a huge issue for us since what we see in our source controls (GitHub) is different from what actually is running in AWS/EKS. Also, from a budget perspective, CAST AI is cost prohibitive. Review collected by and hosted on G2.com.

I really like the node templates concept and bin packing feature of CAST AI. The rebalancing feature is also impressive. With node templates, I find it much more flexible compared to managing nodes via GCP nodepools, where we could only choose one machine type. The bin packing and rebalancing features help save us money. The initial setup of CAST AI was easy and straightforward. Review collected by and hosted on G2.com.

I think the Terraform modules need improvement. We have reported a bug. Bin packing and evictor need some improvement. Review collected by and hosted on G2.com.

I mainly use CAST AI to reduce overall cluster costs and easily manage the cluster. It helps avoid interruptions by predicting spot interruptions, which is crucial for putting workloads in spot without causing disruptions. I also appreciate its wide range of features, which stood out to me as a significant advantage when switching from Karpenter. The CAST AI team made our initial onboarding smooth, which I found very helpful. Review collected by and hosted on G2.com.

I think the UI and error messages can be improved. The UI could be made better to enhance accessibility. Review collected by and hosted on G2.com.

Their support is superb, with a monthly call that helps keep things on track. I also appreciate the new feature for managing and optimizing workload. Review collected by and hosted on G2.com.

So far, everything has looked good overall. However, the Workload Optimisation could be improved, as we’ve been having some difficulties with it. Review collected by and hosted on G2.com.

Easy installation and setup process, which made onboarding really smooth. The UI is very solid and intuitive, and it gives a clear view of costs and workload distribution. The built-in features are genuinely helpful and save a lot of manual effort. Review collected by and hosted on G2.com.

It would be great to have options for defining specific memory thresholds and more configurable HPA triggers to better match different workload requirements. Review collected by and hosted on G2.com.