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162 reviews
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Efficient Cost-Saving with Stellar Support
What do you like best about the product?
I really like how CAST AI works and appreciate that it benefits us by saving costs. Workload rightsizing is a unique feature that saves a lot of resources and costs. It's easy to configure and very flexible. Support is responsive. CAST AI is way ahead of tools like Karpenter, which are partly used under the hood but don't compare to CAST AI's offerings. The user interface is nice and customizable, which makes it convenient to use. It works well with Terraform and GitOps tools like ArgoCD. Using API for configurations alongside these tools adds to the seamless experience.
What do you dislike about the product?
One of our clients is on Azure and some of CAST AI's features seem to be made more for AWS and do not work well in the UI for Azure, but there are ways to make them work over API so it's a minor issue.
What problems is the product solving and how is that benefiting you?
CAST AI saves costs, offers workload rightsizing, and is flexible and easy to configure. It has a nice UI, works well with Terraform and ArgoCD, and uses saving plans. Support is responsive, and it's a step ahead of tools like Karpenter.
Simple UI with Quick Cost Insights
What do you like best about the product?
Simple UI and Quick cost insights to reduce the cluster costs.
What do you dislike about the product?
Tool is expensive and it doesn't have the backward /forward compatibility for other products
What problems is the product solving and how is that benefiting you?
We evaluated the product for internal use, but it’s too expensive to roll out across our environment. We do have a way to reduce costs, and choosing this product at this stage would still involve additional work for us.
Easy and Uncomplicated Implementation
What do you like best about the product?
The ease of implementation, in a few steps I managed to activate the automation on my EKS.
What do you dislike about the product?
Advanced reports with export options are missing.
What problems is the product solving and how is that benefiting you?
The maintenance of machine families on AWS.
Automates Scaling with Ease, High on Cost-Effectiveness
What do you like best about the product?
I use CAST AI to automate cluster scaling and reduce manual work in maintaining our Kubernetes infrastructure. I appreciate how it helps reduce cloud costs by taking care of scaling automatically. I like how well CAST AI handles spot instances and cluster autoscaling. It manages spot instances flawlessly, ensuring I don’t have to worry about interruptions. What used to be a manual, tedious process is now sorted automatically. I particularly enjoy that CAST AI can automatically manage spot instances and fall back to on-demand without causing downtime. Additionally, the setup process was straightforward, allowing us to get up and running with minimal effort.
What do you dislike about the product?
Sometimes, the pricing feels a bit high for small clusters.
What problems is the product solving and how is that benefiting you?
I use CAST AI to automate cluster scaling, reduce manual maintenance for Kubernetes infrastructure, and minimize cloud costs by handling spot instances without interruptions.
Intuitive and Economical Management of Kubernetes
What do you like best about the product?
I love how CAST AI is quite intuitive, making the management of my company's Kubernetes easier and straightforward. The simplicity in the initial setup really impressed me, as it was very simple and facilitated a quick start. The cost reduction functionality through spot instances and the ability to quickly and easily hibernate non-productive clusters are features I consider extremely valuable. This not only optimizes my financial resources but also improves operational efficiency. Furthermore, the 10 out of 10 recommendation I would give to CAST AI reflects my complete satisfaction and confidence in the platform.
What do you dislike about the product?
Some type of self-healing before swapping instances could be improved. I would like there to be a check before shutting down a node to ensure that the applications on the target node are initialized correctly to avoid downtime.
What problems is the product solving and how is that benefiting you?
I use CAST AI to manage Kubernetes, reducing costs with spot instances and hibernating non-productive clusters, which optimizes resources. It is intuitive, with quick cluster hibernation, making management easy without complications.
Automatic Machine Selection Is Great, But Needs Improvement
What do you like best about the product?
Automatically selecting the machine type
What do you dislike about the product?
Please add more feature documentation on console
What problems is the product solving and how is that benefiting you?
I dont have to sit and select the machine type and cost saving are very good
Short experience with CAST AI
What do you like best about the product?
CAST AI offers robust Kubernetes cost monitoring, providing clear visibility into resource usage and expenses across clusters. Its actionable cost recommendations are particularly helpful, guiding users on how to optimize or reduce spending with specific, practical steps. Additionally, CAST AI supports org-level cluster monitoring, making it easy for organizations to manage and analyze the cost and performance of multiple clusters in one place. Overall, CAST AI is an effective tool for enterprises looking to gain better control over their Kubernetes costs and efficiency.
What do you dislike about the product?
While CAST AI offers powerful cost optimization features, there are a few areas that could be improved. The initial setup and integration with existing Kubernetes environments can be complex and may require substantial time and expertise. Some users have reported a learning curve when navigating the UI and understanding the full range of functionalities. Additionally, as a third-party platform, there may be concerns around data security and handing over cluster management. Pricing could also become a consideration for smaller teams or organizations with limited budgets.
What problems is the product solving and how is that benefiting you?
CAST AI is solving the problem of high and unpredictable Kubernetes cloud costs by providing real-time cost monitoring, intelligent optimization, and actionable recommendations. It helps identify inefficiencies, unused resources, and overprovisioning in my clusters, allowing me to automate scaling and adjust workloads for maximum cost efficiency. This results in significant cost savings, better resource allocation, and improved visibility across the organization’s clusters, making cloud infrastructure management much simpler and more predictable.
Cost-efficient Kubernetes optimization using AI
What do you like best about the product?
CAST AI's ability to automatically optimize Kubernetes workloads for cost and performance is incredibly powerful. I particularly appreciate the autoscaling and rightsizing features that reduce our cloud bill without manual intervention. The interface is intuitive, and integration with AWS and GCP was seamless. The real-time cost visibility and actionable recommendations help us stay on top of resource usage.
What do you dislike about the product?
There’s a learning curve during the initial setup, especially if you're new to Kubernetes internals. Additionally, I would like to see more documentation around custom policy configurations for companies with unique infrastructure needs. While support is helpful, response time could be a bit faster during critical issues.
What problems is the product solving and how is that benefiting you?
CAST AI is solving the challenge of managing cloud costs and performance in Kubernetes environments. Manually optimizing workloads, scaling clusters, and choosing the right mix of instances across multiple cloud providers is time-consuming and error-prone. CAST AI automates these processes, enabling our team to focus on development rather than infrastructure tuning. Since implementation, we've seen a significant reduction in cloud spend—especially by replacing on-demand nodes with spot instances—and improved cluster efficiency with minimal manual effort.
A solution that cuts costs and reduce operational overhead by optimising Kubernetes resources
What do you like best about the product?
- 30% cloud cost savings over our whole compute
- Increase in my team’s productivity: a task that took seven days now gets done in three or four days
- We also unlocked extra cost savings from Spot Instances thanks to automated instance selection
- Increase in my team’s productivity: a task that took seven days now gets done in three or four days
- We also unlocked extra cost savings from Spot Instances thanks to automated instance selection
What do you dislike about the product?
No complaints, the Cast support is great
What problems is the product solving and how is that benefiting you?
Reliability and scalability are important to use. But as we scaled, our infrastructure got more complex and expensive. Cast helps us scale efficiently, cut costs, and reduce manual work without losing reliability. Features like rebalancing and the Workload Autoscaler take care of optimization automatically, so we can focus on what matters.
Centralized Monitoring and Cost Savings for solutions using k8s multi-tenancy
What do you like best about the product?
For a platform that uses k8s multi-tenancy , monitoring and optimizing costs easily across many clusters and namespaces is very important. Cast gives us a easy way to achive this.
What do you dislike about the product?
For un-even workloads across Pod-s in one Deployment or StatefulSet auto-scaling does not always yield the best results, but this is true for all k8s auto-scaling options out there. With cast.ai you can manually tweak the requests/limits
What problems is the product solving and how is that benefiting you?
Cost monitoring and optimization across a large number of k8s clusters , each cluster with many namespaces
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