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Powerful Cost-Cutting: Scheduled Rebalancing and Granular Cost Analytics
What do you like best about the product?
all of the cost cutting features like the scheduled rebalancing feature, and the analytics to see what each resources costs in a granular way.
What do you dislike about the product?
From past experience, the workload autoscaler (VPA) has been hit or miss with some of our workloads that have bursty usage, like large file uploads, causing the pod to restart and the upload to fail.
What problems is the product solving and how is that benefiting you?
Cost-savings and compute usage efficiency had been our biggest concern before and now it's well maintained by castai through rebalancing, spot instances, etc. Next, we're excited about exploring the use of OMNI to obtain access to high-end GPUs.
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.
Streamlined Tech Stack and a More Efficient Workflow
What do you like best about the product?
It’s been very helpful for streamlining our tech stack and optimizing our pipeline, making our overall workflow feel much more efficient.
What do you dislike about the product?
The product itself is great. That said, I’d appreciate a few adjustments to the UI, along with some optimization to make the menu navigation smoother and more intuitive.
What problems is the product solving and how is that benefiting you?
As I mentioned before, it has helped us become more optimized and efficient overall, making our workflow smoother and more consistent.
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.
Effortless Optimization with CAST AI
What do you like best about the product?
It's fairly easy to use and manage. Provides good visibility of all the workloads and what it does. Makes it simpler to select proper node sizes and types, as it can be handled automatically.
What do you dislike about the product?
There are still some bugs and quirks. Not all functions work right away but support team is responsive and helpful with solving the issues.
What problems is the product solving and how is that benefiting you?
Automated scaling, working better than the native one, and choosing the most efficient instance types, including spots.
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.
Great cost optimisation with helpful query time suggestions
What do you like best about the product?
Automated cost optimization and seamless Kubernetes integration that helps reduce cloud spend with minimal manual effort.
What do you dislike about the product?
nitial setup and fine-tuning can be a bit complex, and deeper visibility into optimization decisions would make it even better.
What problems is the product solving and how is that benefiting you?
Cast AI helps optimize Kubernetes infrastructure costs by automatically right-sizing nodes and scaling workloads efficiently. This reduces cloud spend, improves resource utilization, and saves our team time on manual monitoring and optimization.
Saves Time Managing Kubernetes Resources and Cuts Costs
What do you like best about the product?
Gain some time to maintain the kubernetes cluster. We all don't have time to adjust the resource correctly. Cast do that and help us to understand more what each resource need really. It's help us with cost saving too, but human time is really more interesting
What do you dislike about the product?
The product is still "new", sometime, we have some simple problem that they didn't have it before, but they are in generaly reactive about it .
What problems is the product solving and how is that benefiting you?
Resource management in kubernetes cluster. It help me to paid less with better efficiency.
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.
Superb Support and a Great New Cluster Optimization Feature
What do you like best about the product?
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.
What do you dislike about the product?
So far, everything has looked good overall. However, the Workload Optimisation could be improved, as we’ve been having some difficulties with it.
What problems is the product solving and how is that benefiting you?
The workload autoscaler is something we don’t have to manage ourselves, which has been a big help. It also delivers cost savings by optimizing our Kubernetes nodes.
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