Sold by: Cast AI
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.
4.6
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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Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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) | $1,000.00 |
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) | $1,000.00 |
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
Vendor terms and conditions
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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/ or support@cast.ai
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
Real-time Cost Monitoring
Cost monitoring and visibility by namespace, workload, and custom tags with application-level granularity
Automated Cluster Autoscaling
Fastest cluster autoscaler with real-time rightsizing and pricing arbitrage across AWS instance types
Workload Migration with Zero Downtime
Live Kubernetes container migration capability including stateful workloads with zero downtime and resource fragmentation elimination
Bin Packing and Resource Optimization
Automated bin packing and resource utilization optimization to ensure maximum instance efficiency
Spot Instance Management
Automated spot instance management and pricing arbitrage for cost optimization across instance purchasing options
Automated Resource Optimization
Automatic deployment of optimal blend of spot instances, reserved instances, and on-demand compute for autoscaling applications without manual tuning
Container and Kubernetes Infrastructure Management
Serverless infrastructure for Kubernetes, EKS, and ECS with automatic scaling, bin-packing, and right-sizing of pods
Reserved Instance and Savings Plan Optimization
Lifecycle management of reserved instances and savings plans using machine learning and automation to maximize portfolio value and minimize on-demand costs
Cloud Cost Analytics and Visibility
Granular cost analytics with integration capabilities for financial accountability and cost optimization tracking
Automated Pod Resource Optimization
Continuously analyzes container compute usage and vertically scales Kubernetes pods to meet demand during runtime with zero disruption
Node Cost Optimization
Identifies opportunities to remove under-provisioned nodes, replace expensive nodes with cheaper alternatives, and consolidate pods onto more efficient compute resources
Real-Time Resource Adjustment
Automatically adjusts compute resources in response to real-time changes in workload demand
Read-Only to Automated Scaling Progression
Supports graduated deployment model starting from read-only recommendations and progressing to continuous automatic optimization
Standard contract
No
No
Customer reviews
Computer Software
Great UI, But Needs More to Earn a Strong Recommendation
Reviewed on Mar 10, 2026
Review provided by G2
What do you like best about the product?
The UI and dashboards are great to go through. It’s also really helpful to add cast.ai to a cluster so you can see the potential savings before implementing it.
What do you dislike about the product?
Upgrading to newer versions of Kubernetes is difficult, and the Terraform modules feel lacking in support and features.
What problems is the product solving and how is that benefiting you?
The main reason I started using cast.ai was for cost savings. The UI highlights a lot of potential savings, but in actual use I’ve seen resources scale up, and the savings end up being a lot less than what the UI suggests.
Ajay B.
Lock and Bolt Infrastructure: Fire-and-Forget Cloud Savings for K8s
Reviewed on Mar 10, 2026
Review provided by G2
What do you like best about the product?
The automated rebalancing and Spot Instance management are game-changers. Unlike other FinOps tools that just give you a list of suggestions to fix manually, CAST AI actually executes the changes in real-time. The Autoscaler is incredibly aggressive (in a good way) at bin-packing pods, which allowed us to shrink our cluster footprint significantly without any downtime. Also, their Spot fallback mechanism gives us the confidence to run production workloads on Spot instances because we know it will move them to On-Demand instantly if capacity drops.
What do you dislike about the product?
While the onboarding is fast, there is a slight learning curve when it comes to fine-tuning policies for very complex stateful workloads. I also noticed that the Workload and Node autoscalers sometimes feel like they are operating on two different planes—it would be great to see even tighter coordination between the two so that resource requests and node provisioning are perfectly synced 100% of the time. Lastly, the pricing can feel a bit steep for very small, static clusters where there isn't much to optimize.
What problems is the product solving and how is that benefiting you?
We were facing massive cloud waste (roughly 40%) due to over-provisioning and 'shadow' Kubernetes spending. CAST AI solved this by automating our rightsizing.
Benefit 1: We reduced our AWS/GCP bill by nearly 50% within the first two months.
Benefit 2: Our DevOps team no longer spends hours every week 'hand-tuning' instance types or manually handling Spot interruptions. It has effectively shifted our team from 'infrastructure babysitting' to actual feature development.
Benefit 1: We reduced our AWS/GCP bill by nearly 50% within the first two months.
Benefit 2: Our DevOps team no longer spends hours every week 'hand-tuning' instance types or manually handling Spot interruptions. It has effectively shifted our team from 'infrastructure babysitting' to actual feature development.
Aakash M.
Efficient Resource Management with User-Friendly Interface
Reviewed on Mar 09, 2026
Review provided by G2
What do you like best about the product?
I use CAST AI for cost and resource monitoring, and it provides a great experience in reducing my costs significantly. I like that it tells about resource efficiency, making resources more efficient without wasting money. Even a non-tech person can use it easily, and it suggests the right resources for services or workload. It's pretty much easy to set up.
What do you dislike about the product?
As an improvement, currently it has a lag of 1 hour which needs to come down to live as possible.
What problems is the product solving and how is that benefiting you?
I use CAST AI for cost and resource monitoring. It helps reduce costs significantly by improving resource efficiency and suggesting the right resources for services. Even a non-tech person can use it easily, making it user-friendly.
Facundo B.
Powerful Dashboard, Challenging Configuration
Reviewed on Mar 05, 2026
Review provided by G2
What do you like best about the product?
I like being able to see everything on the dashboards and make decisions right there with CAST AI. These dashboards are a very good tool for resource identification and optimization, allowing me to quickly visualize where I need to focus.
What do you dislike about the product?
I feel a bit insecure about putting CAST AI in automatic mode because, although it is simple, it can affect production. There is no intuitive and quick way to ensure it, and I feel like I have to set many rules to prevent it from downscaling things it shouldn't for some reason. Also, the initial setup gave us quite a struggle because we use Terraform and had to deal with permission issues, among other things.
What problems is the product solving and how is that benefiting you?
CAST AI helps me identify important improvement points in service optimization, and its dashboards present clear information for quick decisions in the company.
Harini Priya D.
Efficient Scaling and Cost Optimization with Ease
Reviewed on Mar 02, 2026
Review provided by G2
What do you like best about the product?
I like CAST AI for its managed scaling capabilities and rebalancing features, which are beneficial for cost optimization. The initial setup was very easy.
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 autoscaling and managed scaling, which help with rebalancing and cost optimization.