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.
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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) | $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 |
Dimensions summary
This listing groups pricing into tiers plus usage-based charges. The Free tier gives you monitoring and cost insights at no cost. Cost Monitoring covers spending analysis across workloads, namespaces, and allocation groups. Paid tiers scale by two limits: managed clusters and managed CPU. Growth allows up to 4 clusters and up to 500 CPU. Growth 700 CPUs allows up to 5 clusters and up to 700 CPU. GrowthPro allows unlimited clusters and up to 2000 CPU. Enterprise allows unlimited clusters and unlimited CPU. CPU is charged based on usage, with an additional hourly charge per managed CPU.
Top-of-mind questions for buyers
A managed CPU is a processor unit that Cast AI actively optimizes within your clusters. Paid tiers charge based on actual CPU usage, not a fixed count. You pay an additional hourly charge per managed CPU on top of your tier. Idle or unmanaged CPUs outside the platform's scope are not metered.
Your tier sets ceilings on managed clusters and managed CPU. Within those limits, cost scales with actual managed CPU usage, billed hourly per CPU. The tier defines capacity boundaries; the hourly per-CPU charge drives the variable cost. Both apply together on the same invoice.
The Free tier gives unlimited Kubernetes monitoring and cost reduction insights at no cost. It does not include the automated optimization that paid tiers meter per managed CPU. To gain automated scaling and rightsizing across managed clusters, you move to a paid tier, which then applies the hourly per-CPU charge.
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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.
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
Mohit B.
Smart Cloud Cost Savings with Automation.
Reviewed on Aug 10, 2026
Review provided by G2
What do you like best about the product?
Cast AI helps make Kubernetes cloud usage more cost‑efficient through smart automation.
What do you dislike about the product?
Cast AI can feel complicated to set up at first, and the pricing can ramp up quickly as you scale.
What problems is the product solving and how is that benefiting you?
Cast AI helps reduce wasted cloud spend by automating Kubernetes scaling, which saves both money and time.
Sarthak M.
Easy Setup with Minimal Code Changes
Reviewed on Aug 09, 2026
Review provided by G2
What do you like best about the product?
Easy to set up with my existing infrastructure, and it required only minimal code changes.
What do you dislike about the product?
The pricing plans are a bit on the higher side, and there isn’t much room for customization.
What problems is the product solving and how is that benefiting you?
No need to manually set up my GCP clusters anymore; it automatically monitors them and makes decisions for me.
Muhammed A.
Cast AI Simplifies Kubernetes Cost Optimization with Clear Insights and Smooth Integration
Reviewed on Aug 07, 2026
Review provided by G2
What do you like best about the product?
Cast AI has made managing and optimizing our Kubernetes infrastructure costs significantly easier, automatically right-sizing resources and identifying waste that would be tedious to catch through manual monitoring. The interface is clear and easy to navigate, surfacing cost-saving opportunities without requiring deep Kubernetes expertise to interpret. Integration with our existing cloud setup was smooth, connecting directly to our infrastructure without needing major reconfiguration. Performance-wise, automated scaling decisions have kept resource allocation efficient without sacrificing application responsiveness.
What do you dislike about the product?
Some of the more aggressive automated scaling decisions occasionally needed manual review to make sure they aligned with actual traffic patterns rather than just cost efficiency. Initial setup for more complex
What problems is the product solving and how is that benefiting you?
Cast AI has automated a significant part of our Kubernetes cost optimization, catching inefficiencies and right-sizing resources that would otherwise require constant manual monitoring. This has reduced our infrastructure spend meaningfully while keeping performance stable, without needing a dedicated engineer focused solely
Oil & Energy
Automated Kubernetes Cost Optimization With Clear, Intuitive Visibility
Reviewed on Aug 05, 2026
Review provided by G2
What do you like best about the product?
The best thing I like about this Cast AI platform is its ability to automate Kubernetes and cost optimisation instead of only showing recommendations. It also identifies the over-provisioned resource such as right size workloads and adjust clusters capacity based on demand and this also made our lower cost instances on a very much efficient level. Their dashboard also provides clear visibility into our cost across the clusters and workloads, which made the namespaces making it easier to understand where cloud spending is going. Their user interface is very much intuitive and clean, and their integration is also a bit extensive, I would say.
What do you dislike about the product?
Their initial configuration failed can feel complex, particularly when setting automation policies and permission workload constraints and spotting instance rules. Teams can also find bit difficult on automation on protection infrastructure without even understanding its decision-making process for the 3rd party platform. The reporting interface is useful but some uses are a bit difficult, along with managing several other clusters.
What problems is the product solving and how is that benefiting you?
This platform helps us by solving the Kubernetes over-provisioning and underutilised resources, where we can predict cloud cost and the manual effort required to continuously optimise clusters. It also helps us by automating match capacity with workload demand and provides a detailed cost allocation along with the Kubernetes resources, which is a major add-on. Overall, this platform helped us by reducing the unnecessary cloud spending and also saved the engineering team time and allowed the cluster to scale more effectively, while making the overall workload availability and hence the overall platform increased our overall cloud performance, I would say.
Ankit K.
Automated Kubernetes Optimization with Clear Cost Visibility and Real Savings
Reviewed on Aug 05, 2026
Review provided by G2
What do you like best about the product?
What I like best about CAST AI is its ability to automatically optimize Kubernetes clusters while significantly reducing cloud costs. The platform automates tasks like workload right-sizing, node scaling, and Spot instance management, which saves time and minimizes manual infrastructure management. I also appreciate the clear dashboard and cost visibility, making it easy to track resource usage, identify optimization opportunities, and monitor savings in real time. Overall, it helps improve operational efficiency without sacrificing application performance or reliability.
What do you dislike about the product?
One downside of CAST AI is that it can take time to understand and configure all of its optimization features, especially for users who are new to Kubernetes. Some advanced settings and recommendations could be explained more clearly, and troubleshooting automated decisions isn't always straightforward. More detailed documentation, simpler onboarding, and deeper customization of automation policies would make the platform easier to use.
What problems is the product solving and how is that benefiting you?
CAST AI solves the challenge of managing Kubernetes infrastructure efficiently while keeping cloud costs under control. It automates resource optimization, cluster scaling, and workload placement, reducing the need for manual intervention. This helps lower cloud spending, improves application performance and reliability, and allows our team to spend more time on development instead of infrastructure management.