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162 reviews
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Efficient Kubernetes Optimization with Evolving Features
What do you like best about the product?
I like CAST AI because it's intuitive, reliable, and continuously evolving. Its reliability gives me confidence that optimization and automation actions won't disrupt workloads, which is critical in production. The platform evolves quickly with new features like Container Live Migration, which really adds value. The setup process was straightforward and well-guided, with initial onboarding and cluster connection being smooth. The UI and docs made it easy. I would rate them 10 for allowing us to save costs as well.
What do you dislike about the product?
While we've had a very good overall experience with CAST AI, there are few areas that could be improved. Having more fine-grained controls and clear explanations would help.
What problems is the product solving and how is that benefiting you?
I use CAST AI to optimize Kubernetes workloads efficiently, reducing operating overhead. It's reliable, evolves quickly with features like Container Live Migration, and saves costs, all without disrupting critical workloads.
Effortless Cost Optimization with Hands-On Cast AI Support
What do you like best about the product?
Cost Optimization is the key feature that enables our Projects to lessen the burden solving optimization with ease. As far as I've seen other team members, they have been asking a lot of questions within the Cast AI implementation itself.
What do you dislike about the product?
None so far. Cast AI's Team support are fully hands-on even with a small details of questions
What problems is the product solving and how is that benefiting you?
Still the Cost Optimization and being a User-Friendly UI.
Detailed cost analysis & automatic Kubernetes rebalancing for optimal costs
What do you like best about the product?
Detailed cost analysis down to the namespace and workload level, combined with automatic rebalancing of Kubernetes workloads and nodes. This enables automatic cost optimization.
What do you dislike about the product?
I have no suggestions for improvement to share.
What problems is the product solving and how is that benefiting you?
Cost optimization for AWS/Kubernetes workloads
Clear UI and cost efficiency with CAST AI
What do you like best about the product?
I clearly appreciate the clear UI and easy operation of CAST AI. It clearly shows me where I have potential savings, autonomously scales our clusters, and ensures that our resources are the right size.
What do you dislike about the product?
-
What problems is the product solving and how is that benefiting you?
I use CAST AI for cost monitoring to minimize outages, identify savings potentials, automatically scale clusters, and optimally size resources.
Effortlessly Scales and Optimizes Costs
What do you like best about the product?
I like CAST AI for its interactive UI and ease of use, which really help in managing scaling and cost optimization. The initial setup was very easy.
What do you dislike about the product?
None as of now. If possible, they could come up with more observability features to make the product easier to monitor and understand.
What problems is the product solving and how is that benefiting you?
I use CAST AI for cost optimization and scaling. Its interactive UI and ease of use help me scale and save money.
Automated GCP Savings with Safe, Predictable Kubernetes Optimization
What do you like best about the product?
Cast AI has delivered real, automated cost reductions in GCP for our highly scalable communications API without compromising reliability or control. It continuously optimizes our Kubernetes workloads in a way that is safe, predictable, and well-aligned with production requirements.
What I value most is that our SRE team stays firmly in control. Cast AI provides clear recommendations, enforces guardrails we define, and automates execution without becoming a black box.
We’ve seen meaningful infrastructure savings with zero production impact and minimal ongoing effort. For a team operating at scale, that balance of automation, safety, and control is the biggest win.
What I value most is that our SRE team stays firmly in control. Cast AI provides clear recommendations, enforces guardrails we define, and automates execution without becoming a black box.
We’ve seen meaningful infrastructure savings with zero production impact and minimal ongoing effort. For a team operating at scale, that balance of automation, safety, and control is the biggest win.
What do you dislike about the product?
The main gap is around higher-level visibility and reporting. While the optimization itself works well, turning the data into clear, executive-ready views of savings trends and attribution takes some extra effort.
Additionally, more built-in explanation behind certain recommendations would help with onboarding and broader team understanding. Improving reporting and explainability would make an already strong platform even better.
Additionally, more built-in explanation behind certain recommendations would help with onboarding and broader team understanding. Improving reporting and explainability would make an already strong platform even better.
What problems is the product solving and how is that benefiting you?
Before Cast AI, optimizing GCP costs for our Kubernetes infrastructure required constant manual tuning by our SRE team, with real risk of over-correcting in a production environment that needs to scale reliably and predictably.
With Cast AI, cost optimization is continuous and automated while staying within guardrails we control. Our infrastructure now right-sizes itself as workloads change, without sacrificing reliability or requiring ongoing hands-on effort from the team.
The result has been sustained infrastructure cost reductions, faster scaling decisions, and significantly less operational overhead for SREs. That frees the team to focus on reliability and platform improvements instead of manual cost management.
With Cast AI, cost optimization is continuous and automated while staying within guardrails we control. Our infrastructure now right-sizes itself as workloads change, without sacrificing reliability or requiring ongoing hands-on effort from the team.
The result has been sustained infrastructure cost reductions, faster scaling decisions, and significantly less operational overhead for SREs. That frees the team to focus on reliability and platform improvements instead of manual cost management.
Simplified Cost Control with CAST AI
What do you like best about the product?
I like the ease and powerful features of CAST AI. Today, we are able to have cost visibility of services and applications within our Kubernetes, which provides us with a very advanced FinOps view. The initial setup was very easy and we also had full support from our CAST AI partners here in Brazil.
What do you dislike about the product?
We are having some issues with resources from our observability tool, Datadog.
What problems is the product solving and how is that benefiting you?
We use CAST AI to control and optimize costs in Kubernetes, improving our control over cloud infrastructure costs and manual operations. It gives us cost visibility for an advanced view of FinOps.
Workload Right-Sizing Boosts Resilience and Kubernetes Compute Management
What do you like best about the product?
Workload right sizing helps to right size the workload by increasing the resilience and kubernetes cluster node compute management helps to manage compute on cluster
What do you dislike about the product?
Config via code has few challenges but product works as expected
What problems is the product solving and how is that benefiting you?
Workload right sizing helps to right size the workload by increasing the resilience and kubernetes cluster node compute management helps to manage compute on cluster
Mostly Hands-Free, Tailored Results with Room to Grow in Cost Charts
What do you like best about the product?
It is mostly hands free and with little more work you can achieve tailored results.
What do you dislike about the product?
Not a dislike but room to improvement, I would like to have some more dimensions in cost charts and also better visibility on k8s events related to cast
What problems is the product solving and how is that benefiting you?
Aggressive autoscaling. We put heavy lift on AI processing pipelines that are heavy by design so Cast allow us to scale best suited machine from the pool for time that almost match the time required to run and it doesn't matter is it 5 or 500 instances
Fast Scalability Solutions with Great Value in Every Recommendation
What do you like best about the product?
fast scalability soutions, balancing benefit/price in every recommendation
What do you dislike about the product?
Problems generating cost reports with the platform. I need to develop tools to obtain that information for the bussines
What problems is the product solving and how is that benefiting you?
Before using Cast AI, I was constantly overwhelmed by the manual effort required to manage Kubernetes clusters and the anxiety of rising cloud costs. It solved the 'manual toil' of scaling, and turned my cloud bill from a mystery into a roadmap. In short, Cast AI transitioned me from being an 'infrastructure firefighter' to a strategic developer.
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