Sold by: Cast AIÂ
Deployed on AWS
Free Trial
AWS Free Tier
Get EKS monitoring and automated cost optimization in one easy-to-use platform. We show you how much you spend on EKS, and then we reduce your cost by 50 to 75% automatically. With active smart and automated rightsizing and pricing arbitrage, your cluster is continuously efficient.
Overview
Stay on top of your EKS Kubernetes clusters without spending hours handling repetitive tasks. Cast AI automates Kubernetes cost and active optimization in one easy-to-use platform. No more rightsizing recommendations, we replace them by automation.
You will immediately benefit from features like cost monitoring. We will keep your cloud costs in check with smart and powerful Kubernetes automation, including the fastest autoscaling, bin packing, rightsizing, pricing arbitrage, and spot instance management.
Proven with clients around the world, we will bring 50 to 75% average savings. The best thing: it comes with full AI automation so that you don't need to do it.
Highlights
- NEW: Migrate live Kubernetes containers- including those running stateful workloads - with zero downtime. Eliminate resource fragmentation, ensure maximum resource utilization and optimal instance selection, while driving substantial cost savings.
- Get realtime cost monitoring by namespace, workload, or any other tags by application + get active and automated cost optimization.
- We replace recommendations by automation, with the fastest cluster autoscaler that includes real-time rightsizing and pricing arbitrage of AWS instances.
Details
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Delivery method
Deployed on AWS
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Pricing
Free trial
Try this product free according to the free trial terms set by the vendor.
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
Free | Get unlimited Kubernetes monitoring and cost reduction insights. | $0.00 |
Growth | Up to 4 managed clusters. Up to 500 CPU (charged based on usage) | $200.00 |
GrowthPro | Unlimited managed clusters. Up to 2000 CPU (charged based on usage) | $1,000.00 |
Enterprise | Unlimited managed clusters. Unlimited CPU (charged based on usage) | $5,000.00 |
Growth 700 CPUs | Up to 5 managed clusters. Up to 700 CPU (charged based on usage) | $200.00 |
Cost Monitoring | Analyze your Kubernetes spending with detailed breakdowns across workloads, namespaces, and allocation groups. | $200.00 |
Dimension | Cost/unit |
|---|---|
Additional hourly charge per managed CPU as defined at cast.ai/pricing | $0.00694444 |
Vendor refund policy
We do not currently offer refunds.
Custom pricing options
Request a private offer to receive a custom quote.
Legal
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Support via dedicated Slack channel. https://castai-community.slack.com/Â or support@cast.aiÂ
Service Level Agreement:
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Cluster Autoscaling
Fastest cluster autoscaler with real-time rightsizing and automated instance pricing optimization
Container Migration
Live migration of Kubernetes containers, including stateful workloads, with zero downtime and minimal resource fragmentation
Cost Monitoring
Real-time cost tracking and visualization by namespace, workload, and application tags
Resource Optimization
Automated bin packing and instance selection to maximize resource utilization across Kubernetes clusters
Spot Instance Management
Intelligent spot instance selection and management for cost-effective Kubernetes infrastructure
Infrastructure Optimization
Automated resource optimization across spot instances, reserved instances, savings plans, and on-demand compute with intelligent scaling
Container Management
Serverless infrastructure management for Kubernetes, EKS, and ECS with automatic pod scaling, bin-packing, and right-sizing capabilities
Cloud Integration
Native integrations with AWS services including EC2, Auto Scaling Groups, EKS, CloudFormation, Terraform, and CloudWatch
Cost Analytics
Granular cloud cost visibility and analytics with machine learning-powered optimization across multiple cloud services
Resource Optimization
Automated continuous analysis and vertical scaling of Kubernetes pods based on real-time compute usage
Cluster Management
Proactive identification and removal of under-provisioned nodes and consolidation of pods onto more efficient compute resources
Deployment Mode
Self-hosted platform with quick two-minute installation process
Runtime Optimization
Zero-disruption automatic pod optimization during runtime
Workload Analysis
Capability to handle critical production workloads in full automation mode
Standard contract
No
No
Customer reviews
5
1 ratings
1 AWS reviews
|
67 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
Faisal M.
Automatic Machine Selection Is Great, But Needs Improvement
Reviewed on Oct 22, 2025
Review provided by G2
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
Animation
Short experience with CAST AI
Reviewed on Jul 17, 2025
Review provided by G2
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.
Computer Software
Cost-efficient Kubernetes optimization using AI
Reviewed on Jul 10, 2025
Review provided by G2
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.
Dheeraj A.
A solution that cuts costs and reduce operational overhead by optimising Kubernetes resources
Reviewed on Jul 09, 2025
Review provided by G2
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.
alexandru c.
Centralized Monitoring and Cost Savings for solutions using k8s multi-tenancy
Reviewed on Jul 01, 2025
Review provided by G2
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