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Efficient Cost Optimization with Smooth Setup
What do you like best about the product?
I like CAST AI for its on-demand node scaling, which eliminates the need for manually configuring node scaling as I did earlier. The initial setup was very smooth using Curl.
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 cost optimization on AWS EKS clusters. It automates node scaling, so I don't worry about manual configuration, making cost estimation for new services simpler based on optimized pods.
Outstanding Cost Optimization and Support
What do you like best about the product?
The tool is moving forward at the technology edge and delivering amazing features for k8s cost-optimization and high-availability. They are the technology pioneers doing the things no one did before like Java live resources adjustment and live pod migration
What do you dislike about the product?
nothing specific to add to what I previously shared
What problems is the product solving and how is that benefiting you?
CAST AI helps me with cost optimization, improving performance, and reducing manual actions.
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.
Mature Automation, Spot-On Recommendations, and Great Reports
What do you like best about the product?
The automation is very mature, and the recommendations are also on point. The reports are great as well.
What do you dislike about the product?
Some parts of the report are still a little confusing to read, especially in the optimization overview. Also, if it weren’t limited only to Kubernetes, it would be perfect.
What problems is the product solving and how is that benefiting you?
The automation aspect of right-sizing and choosing the best node type for a Kubernetes cluster.
Efficient Kubernetes Management with Intuitive Setup
What do you like best about the product?
I like the fact that I can set up custom nodes and that it is easy to override when needed. And its user interface is friendly. CAST AI makes managing Kubernetes clusters, which can be a bit daunting, much easier.
What do you dislike about the product?
An area that CAST AI can improve is its accuracy when it comes to predictive workloads. Sometimes it doesn't anticipate sudden nonlinear traffic spikes. Also, improving overall visibility for more complex or hybrid architectures would be interesting. Maybe some agentic capabilities in the future.
What problems is the product solving and how is that benefiting you?
CAST AI solves scaling, hibernation, provisioning, and keeps our cost optimum.
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.
Effortless Cost Monitoring with CAST AI
What do you like best about the product?
I like that the setup process with CAST AI is pretty easy, especially when it comes to deploying infrastructure as code using Terraform. It's simple to deploy the CAST AI agent on our existing clusters, and once that's done, it takes over managing the EKS cluster from there.
What do you dislike about the product?
One thing I could think of is how CAST AI handles drift, like infrastructure as code drifts. More documentation on that aspect would be nice.
What problems is the product solving and how is that benefiting you?
I use CAST AI for cost monitoring on EKS, automatic optimizations, and accurate cost allocation across teams.
Cost-Effective Cloud Management w
What do you like best about the product?
I appreciate CAST AI's cost-effectiveness; it slashed my AWS bill nearly to approximately 40-45%. Their service provides cloud storage billing at a comparatively low cost. The autonomous scaling and bill packing features are also beneficial, and the initial setup was nice.
What do you dislike about the product?
I find the autonomous feature, like moving pods or shutting down extra servers, could be more effective, although it's accurate for me at the moment.
What problems is the product solving and how is that benefiting you?
I use CAST AI for autonomous scaling and bill packing, which reduces cloud storage costs significantly, slashing my AWS bill by about 40-45%.
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.
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