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Cast AI detects overutilisation efficiently
What do you like best about the product?
The visualization of realtime savings w.r.t forecast cost without Cast AI recommended changes.
What do you dislike about the product?
Frequent node interruptions as a method of optimisation process often lead to service downtimes.
What problems is the product solving and how is that benefiting you?
Cast AI effectively identifies overutilisation of resources across clusters and suggesting ideal metrics for maximum efficiency resulting in significant cost savings.
CAST AI Automates Cloud Savings with Spot Instances—Like a 24/7 DevOps Pro
What do you like best about the product?
I love how CAST AI doesn't just point out where I'm overspending, but actually goes in and automates the fixes so I don't have to manually tweak clusters all day. Its ability to handle Spot Instances is a total lifesaver because it keeps my apps running smoothly while cutting my cloud bill by more than half. Honestly, it’s like having a dedicated DevOps pro working 24/7 to make sure we’re never paying for more than we actually use.
What do you dislike about the product?
One thing I find frustrating is that giving up that much control to an autonomous "black box" can be nerve-wracking, especially since it occasionally restarts workloads to move them and the reporting isn't always as granular as the native cloud billing I'm used to.
What problems is the product solving and how is that benefiting you?
CAST AI is essentially solving the massive headache of manual Kubernetes scaling and "cloud waste" by using autonomous AI to rightsize my resources and manage Spot Instances in real-time, which basically means I get to slash my cloud bill by 50% or more without my DevOps team having to babysit the infrastructure 24/7.
Cast AI has been a great addition to our environment
What do you like best about the product?
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.
What do you dislike about the product?
It would be great to have options for defining specific memory thresholds and more configurable HPA triggers to better match different workload requirements.
What problems is the product solving and how is that benefiting you?
The combination of auto provisioning, rebalancing, and both vertical and horizontal scaling makes a big difference. It helps maintain performance and stability without extra effort from our side. For me, it means saving time, avoiding resource waste, and focusing more on strategic tasks instead of ongoing tuning.
Transforming Kubernetes into a Self-Optimizing System through Automated Node Orchestration
What do you like best about the product?
Cast AI automates node orchestration and right-sizing, using advanced bin-packing to ensure high cluster density and performance. It effectively manages spot instance lifecycles with automated fallback, significantly reducing compute overhead and manual infrastructure tuning
What do you dislike about the product?
The initial configuration of IAM permissions and automation guardrails requires a careful setup phase before fully handing over infrastructure control
What problems is the product solving and how is that benefiting you?
Cast AI eliminates over-provisioning and node fragmentation through aggressive, real-time bin-packing and automated rightsizing of CPU/memory requests. It automates the entire lifecycle of node provisioning and spot instance orchestration, including seamless fallbacks to on-demand instances during market interruptions. This transforms our Kubernetes clusters into a self-optimizing system, significantly reducing our cloud spend while freeing the team to focus on delivery pipelines rather than manual scaling policies
Stellar Customer-Centric Platform for K8s on AWS
What do you like best about the product?
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.
What do you dislike about the product?
I dont have any
What problems is the product solving and how is that benefiting you?
I use CAST AI to manage k8s workloads on AWS EKS. It abstracts node provisioning and scaling, offers a holistic cluster view, and optimizes workloads with cluster rebalancer. It provides superb flexibility with node templates and configurations.
Cast.AI Auto-Adjusts Resources to Keep Alerts Quiet and On-Call Nights Peaceful
What do you like best about the product?
The ability to immediately apply values to a manifest is my favorite feature. Being in a on-call rotation, this prevents unnecessary alerts from triggering in the middle of the night. Cast.AI will automatically adjust the resources, which clears the alert and I'm not woken up at night.
What do you dislike about the product?
While Cast.AI automatically tells you how much you could to save BEFORE you turn it on. It doesn't track how much you've saved AFTER as you turn it on app by app. That would be a nice feature to have since the data is already there.
What problems is the product solving and how is that benefiting you?
Rightsizing applications is a difficult and tedious task, but there could be a lot of wasted resources if you don't. Cast.AI lets us rightsize out applications to reduce that waste and in the end, save money. It basically pays for itself over time.
Cast AI Automates Autoscaling and Instance Selection to Cut Costs Without Performance Loss
What do you like best about the product?
Instead of teams spending hours right-sizing nodes, tweaking autoscalers, or guessing instance types, Cast AI continuously analyzes workload requirements and automatically:
Selects the most cost-efficient instance types
Optimizes cluster autoscaling in real time
Uses spot instances intelligently to reduce costs
Eliminates overprovisioning without impacting performance
Selects the most cost-efficient instance types
Optimizes cluster autoscaling in real time
Uses spot instances intelligently to reduce costs
Eliminates overprovisioning without impacting performance
What do you dislike about the product?
Vendor dependency: Relying on automation to make core infrastructure decisions increases our operational dependence on a third party.
What problems is the product solving and how is that benefiting you?
Cast AI solves the problem of overprovisioned Kubernetes clusters and high cloud costs by automatically selecting the most cost-efficient instances and optimizing scaling in real time.
This benefits us by lowering infrastructure spend, improving resource utilization, reducing manual DevOps effort, and allowing us to scale confidently without constantly managing costs.
This benefits us by lowering infrastructure spend, improving resource utilization, reducing manual DevOps effort, and allowing us to scale confidently without constantly managing costs.
AI-Powered Efficiency with Room for Notification Improvements
What do you like best about the product?
I appreciate the range of diverse features that CAST AI offers, and in addition to the constant updates focused on improving the tool, it's possible to perceive the appreciation of those working on this project and their commitment to excellence. I like how the tool revolves around AI, but it allows for fine-tuning of configurations to achieve excellence. The ability to allocate different machines to nodes within the same pool without requiring multiple configurations is particularly beneficial. The initial setup is super simple, basically running two or three commands on the cluster and all the configuration is ready.
What do you dislike about the product?
I believe the notification aspect of CAST AI could be improved; it's very simple, which is good for usability, but bad because it makes it limited. It would be interesting to have the possibility of receiving error alerts and alerts when recovering from those errors, allowing us to actively monitor the tool's operation.
What problems is the product solving and how is that benefiting you?
I use CAST AI for automatic scaling and optimal resource allocation, which saves costs and reduces team overload by eliminating manual cluster optimization.
Total control and visibility: efficient optimization of costs, CPU, and memory with Cast AI
What do you like best about the product?
With Cast AI, I can clearly identify the amount of CPUs and memory that my cluster is using, as well as the cost it is generating. Additionally, the tool allows for very efficient and secure resource optimization, providing more control and visibility over the environment's usage.
What do you dislike about the product?
No disadvantages. Since we started using Cast AI in our environments, it has helped us a lot in cost optimization.
What problems is the product solving and how is that benefiting you?
Cast AI has been helping us control and reduce the costs of our environments by offering the best cluster instances in terms of cost-effectiveness and automatically optimizing our workloads.
Smarter Kubernetes Optimization with Real Cost Impact
What do you like best about the product?
What I like best about Cast AI is how effectively it combines cost optimization with operational simplicity. It continuously analyzes our Kubernetes workloads and automatically right-sizes nodes, scales clusters, and leverages spot instances without requiring constant manual tuning from our DevOps team. The visibility into resource utilization and savings is clear and actionable, which makes it easier to justify infrastructure decisions internally. Beyond the cost savings, the real value is the time saved and the confidence that the cluster is always running in an optimized state without daily intervention.
What do you dislike about the product?
One downside is that some of the more advanced configuration and optimization features require a deeper understanding of Kubernetes and cloud infrastructure to fully leverage. While the basics are easy to set up, fine tuning policies and understanding the impact of certain automation decisions can take time. In addition, more granular cost reporting and forecasting capabilities would be helpful for organizations that need detailed financial breakdowns across teams or projects.
What problems is the product solving and how is that benefiting you?
Cast AI is solving the problem of inefficient Kubernetes resource utilization and unpredictable cloud costs. Before using it, we were overprovisioning to avoid performance risks, which resulted in wasted spend and constant manual monitoring. Cast AI automates cluster scaling, right sizing, and spot instance management, which reduces overprovisioning while maintaining reliability. This directly benefits us by lowering infrastructure costs, improving resource efficiency, and freeing our engineering team from repetitive operational tasks so they can focus on higher value initiatives.
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