External reviews
190 reviews
from
External reviews are not included in the AWS star rating for the product.
Efficient Autoscaling with Room for Improvement
What do you like best about the product?
I really like the node templates concept and bin packing feature of CAST AI. The rebalancing feature is also impressive. With node templates, I find it much more flexible compared to managing nodes via GCP nodepools, where we could only choose one machine type. The bin packing and rebalancing features help save us money. The initial setup of CAST AI was easy and straightforward.
What do you dislike about the product?
I think the Terraform modules need improvement. We have reported a bug. Bin packing and evictor need some improvement.
What problems is the product solving and how is that benefiting you?
I use CAST AI for cluster and workload autoscaling in production, mainly for cost-saving. It solves bin packing and allows flexibility with node templates and rebalancing features, which save us money.
Intuitive Dashboards, Easy Cost Optimization
What do you like best about the product?
I like CAST AI for Cost Monitoring and Analytics. I find the dashboards and UI really appealing. The cluster optimization agents are valuable tools that I use. The initial setup was easy peesy, which made getting started quite simple.
What do you dislike about the product?
Nothing i could think of
What problems is the product solving and how is that benefiting you?
I use CAST AI for cost monitoring, understanding cost identity, and optimizing cost leakage.
Cost-Saving Automation with Robust Support
What do you like best about the product?
I really like the way CAST AI is designed because it aligns well with our company culture. Their support is also very helpful, which I appreciate. I find the AI support integration features beneficial for addressing simple questions and debugging scenarios. The ease of enabling features like vertical auto scaling and scheduling rebalancing is quite user-friendly. I also value the early access feature that allows us to hibernate our development and staging clusters during off hours, which is very helpful for us. And one big feature that helped us a lot was the ability to allocate a part of workload in to spot machines.
What do you dislike about the product?
There's definitely a learning curve to the platform, especially understanding the concepts and how it scales costs for you. Also, the billing aspect takes some time to understand. And some guarantees on the billing aspects (like if the cost reduction doesn't happen as expected) would reduce the initial inhibition of customers to adapt the system. For us personally another challenge was understanding how to measure cast AI's performance once we start using their system but also our own system starts growing. Actually there are indicators in the cast AI for this (like the cluster score, CPU & Memory over-provisioning percentage etc). Tracking these actually helps us understand if the cast AI's optimisations are as good as when we started. This could be documented as an indicator for cast AI's efficiency which will help the customers a lot.
What problems is the product solving and how is that benefiting you?
We use CAST AI mainly for cost optimizations and dev ops. It's successfully brought down our costs and helped with automation to optimize for cost and stability. Features like vertical auto scaling, rebalancing, splitting workload in to on-demand & spot machines and hibernation of clusters during off hours are very helpful.
A very effective tool for reducing costs on Kubernetes and optimizing resources
What do you like best about the product?
Easy installation and quick setup. I noticed a significant reduction in overprovisioning and cloud costs. Resource utilization is better, with fewer workloads lacking resources.
What do you dislike about the product?
The learning module does not yet allow for the definition of business days. Consequently, weekend activity can disproportionately influence resource calculations.
What problems is the product solving and how is that benefiting you?
It allows you to no longer have to perform a manual review of resources, which becomes humanly impossible on a large cluster. Bin packing helps reduce the number of nodes needed and, consequently, the bill.
Effortless Compute Management with Stellar Support
What do you like best about the product?
I find CAST AI easy to use and the dashboard is great as it provides a centralized view in one place. When we onboard a cluster, we can see cost trends, the node list, and spot on-demand options at a glance. I also appreciate that the CAST AI team is very supportive. They are ready to add custom features for specific needs like GPU and TPU support. Overall, I think it's a great team and a great product, and I'm very happy with it.
What do you dislike about the product?
Some features, like GCP sole tenant, are very basic and not customizable. They could improve on their Terraform.
What problems is the product solving and how is that benefiting you?
CAST AI optimizes compute allocation based on application usage and public cloud pricing. It provides a centralized dashboard showing cost trends and node lists, and the team supports custom features.
Cuts Cluster Costs with Super Support and Easy Helm Deployment
What do you like best about the product?
It reduces the cost of clusters and also there is super good support by the cast AI team. It's deployed easily to the cluster helm charts.
What do you dislike about the product?
Right now, the only thing that was an issue was onboarding user. No other comments
What problems is the product solving and how is that benefiting you?
Right now trying to resolve Streaming jobs
Cast AI’s Decision Engine & Automation Right-Sizing Are Standout Features
What do you like best about the product?
Decision Engine & Automation Right-Sizing is the best features by Cast AI
What do you dislike about the product?
Storage optimization, not support Cloud-native container (ECS, etc)
What problems is the product solving and how is that benefiting you?
Over-provisioned Nodes & Pods on current organization. After using Cast AI, it can reduce number of Over-provisioned Nodes & Pods and direct impact to our Cloud Cost.
Effortless Cost Management and Automatic Scaling
What do you like best about the product?
I really like the simplicity of setting up CAST AI; it was super easy and took less than an hour. We just followed the docs, and within minutes, everything was running smoothly. One of the standout benefits for us has been the cost reduction. We've managed to reduce our costs by a huge 60% since using it. I appreciate how CAST AI ensures that pod limits and requests align with real usage thanks to rightsizing. Previously, managing node pools manually was a hassle. With CAST AI, it's fully automatic, so we don't have to worry about manually creating new node pools to match our resource needs anymore.
What do you dislike about the product?
We had a small glitch at some point where the cluster scaled up because of a poorly configured workload but it didn't scale down automatically which end-up augmenting our costs a lot. We definitely need a way to have alerting when the daily price is more than x% of the previous days.
What problems is the product solving and how is that benefiting you?
CAST AI reduces our infrastructure costs by efficiently using resources, automatically scaling on demand, and utilizing preemptible VMs. It's easy to set up, taking under an hour, and saves us 60% on costs. Previously, node pools were managed manually; now, everything is automated, freeing us from resource management.
Great tool for K8 cost savings and cluster optimization
What do you like best about the product?
It helps us optimize our K8 clusters and reduce costs. The UI is great and clearly shows how much we’ve saved so far, as well as what can still be improved within our cluster. The workload optimizer is also a really useful feature.
What do you dislike about the product?
It’s hard to find logs for certain things, and it’s also hard to understand why something isn’t working when an issue comes up. For example, recently my scheduled rebalancing wasn’t working correctly, and even the support team couldn’t figure out why at first. After a lot of digging, we found it was because one machine was stuck in a weird state after a previous rebalancing. It wasn’t easy to track down what caused this, and it seemed like support wasn’t able to identify the issue right away either.
What problems is the product solving and how is that benefiting you?
It helped us scale our cluster while also reducing costs by almost 50%.
Great automation for K8S, but there is still a lot to improve.
What do you like best about the product?
Users of CAST AI appreciate the shift away from manual “firefighting” toward higher-level automation, especially features like Scalers and Performance. At the same time, some users place less value on the User Interface and Dashboards.
What do you dislike about the product?
Lack of professionalism at the support level, lack of knowledge about how the components work and what they are responsible for, lack of logs, disorganized version deployment. No partner updates regarding changes to features and versions themselves. Changing feature definitions in new versions without updating the client. Full of bugs in Terraform's code.
What problems is the product solving and how is that benefiting you?
It usually solves scale problems at a good level, not optimal at the moment. It provides a solution for cost optimization.
showing 71 - 80