Cast AI - EKS fully automated cost optimization and monitoring

What do you like best about the product?

I like being able to see everything on the dashboards and make decisions right there with CAST AI. These dashboards are a very good tool for resource identification and optimization, allowing me to quickly visualize where I need to focus.

What do you dislike about the product?

I feel a bit insecure about putting CAST AI in automatic mode because, although it is simple, it can affect production. There is no intuitive and quick way to ensure it, and I feel like I have to set many rules to prevent it from downscaling things it shouldn't for some reason. Also, the initial setup gave us quite a struggle because we use Terraform and had to deal with permission issues, among other things.

What problems is the product solving and how is that benefiting you?

CAST AI helps me identify important improvement points in service optimization, and its dashboards present clear information for quick decisions in the company.

What do you like best about the product?

I like CAST AI for its managed scaling capabilities and rebalancing features, which are beneficial for cost optimization. The initial setup was very easy.

What do you dislike about the product?

nothing

What problems is the product solving and how is that benefiting you?

I use CAST AI for autoscaling and managed scaling, which help with rebalancing and cost optimization.

What do you like best about the product?

What stood out to me most was the automation. Once it was set up, CastAI continuously analyzed our workloads and adjusted resources in real time. We saw noticeable reductions in wasted compute, especially around underutilized nodes. The platform’s ability to automatically leverage Spot instances without compromising stability was a big win for us. It handled the complexity in the background, which gave our team more time to focus on product work instead of infrastructure tuning.
The visibility into costs has also been valuable. Being able to break down spending by cluster and workload helped us understand exactly where our cloud budget was going. That transparency made it much easier to have productive conversations internally about optimization and accountability.

What do you dislike about the product?

I seldom observed wrongful recommendations applied to some workloads where CastAI applied resources higher than the maximum available capacity on our EKS cluster which lead to some services staying in pending state without any way to control it.

What problems is the product solving and how is that benefiting you?

Before implementing CastAI, managing our Kubernetes infrastructure costs felt like a constant balancing act. We were either overprovisioning to stay safe or spending too much time manually tweaking node sizes and autoscaling rules. After integrating CastAI, much of that manual effort disappeared.

CastAI continuously analyzed our workloads and adjusted resources in real time, and we saw noticeable reductions in wasted compute—especially on underutilized nodes. The platform’s ability to automatically leverage Spot instances without compromising stability was a big win for us. It handled the complexity in the background, which gave our team more time to focus on product work instead of infrastructure tuning.

The added visibility into costs has also been valuable. Being able to break down spending by cluster and workload helped us understand exactly where our cloud budget was going. That transparency made it much easier to have productive internal conversations about optimization and accountability.

What do you like best about the product?

I use CAST AI to automatically optimize the Kubernetes workload, which helps cut cloud costs without needing manual tuning. It eliminates the manual effort of managing autoscaling, node provisioning, and performance monitoring, allowing me to focus on building features instead of babysitting infrastructure. I particularly appreciate the completely automated Kubernetes optimization that actually works. I also experience massive cost savings with real-time analytics, and the real-time cost-saving feature lets me see where my money goes. The automated cost-saving means I don't have to manually tune the cluster.

What do you dislike about the product?

I think the documentation and support guidance could be more consistent, particularly in areas like advanced autoscaling configurations. Clear, unified guidance with scenario-based examples and transparent troubleshooting notes would greatly enhance the onboarding experience.

What problems is the product solving and how is that benefiting you?

I use CAST AI to automatically optimize Kubernetes workloads, cutting cloud costs without manual tuning. It eliminates the manual effort of managing autoscaling, node provisioning, and performance monitoring, allowing me to focus on features instead of infrastructure.

What do you like best about the product?

I like that CAST AI supports multi-cloud Kubernetes, making it really valuable for my work. The rebalancing feature is also a strong point for me. Additionally, the initial setup was very easy, which was a big plus.

What do you dislike about the product?

I don't like the downtime while rebalancing with CAST AI.

What problems is the product solving and how is that benefiting you?

I use CAST AI for scaling, which helps with node group management and reduces costs. It supports multicloud Kubernetes environments.