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.
Get personalized pricing in minutes - New
If qualified, an express private offer gets you custom pricing and terms. Finalize your purchase in the AWS Marketplace console.
Details
Sold by
Delivery method
Deployed on AWS
Features and programs
Trust Center
Access real-time vendor security and compliance information through their Trust Center powered by Drata or Vanta. Review certifications and security standards before purchase.
Buyer guide
Gain valuable insights from real users who purchased this product, powered by PeerSpot.
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 |
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.
cast.ai+1
Helpful?
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
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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.
Updated weekly
By Spot
By ScaleOps
Top
10
In Application Stacks, IT Business Management, Monitoring
Top
10
In Application Servers
Top
10
In Analytic Platforms
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
LOKESH G.
Cast AI Makes Cloud Cost Optimization and Performance Management Effortless
Reviewed on Aug 17, 2026
Review provided by G2
What do you like best about the product?
Cast AI is that it automatically helps optimize cloud resources. It makes it easier to keep infrastructure costs under control, improve workload performance, and cut down on the amount of manual cloud management required.
What do you dislike about the product?
The main thing I dislike about Cast AI is that it can take some time to understand and configure properly. The platform could also provide simpler controls and clearer explanations for some of its more advanced features.
What problems is the product solving and how is that benefiting you?
Cast AI helps me tackle the challenge of managing and optimizing cloud infrastructure more efficiently. It automates resource optimization, cuts down on unnecessary cloud spending, and improves workload performance. Overall, it saves me time and gives me better visibility and control over cloud costs.
Computer Software
Autonomous Kubernetes Optimization That Cuts Costs and Keeps Streaming Uptime High
Reviewed on Aug 14, 2026
Review provided by G2
What do you like best about the product?
What I like best about cast AI is its fully autonomous, real-time kubernetes optimization that actively right-sizes clusters without requiring manual YAML tuning or constant oversight. For our high-concurrency streaming infrastructure, its predictive spot instance management is invaluable, seamlessly migrating workloads before interruptions hit to maintain 100% uptime while significantly driving down cloud compute spend.
What do you dislike about the product?
What I dislike about cast AI is that its aggressive auto-scaling policies can occasionally cause temporary pod scheduling latency during sudden, massive traffic spikes. Additionally, navigating its detailed cost-allocation dashboards requires a bit of a learning curve to properly configure custom budget alerts for specialized node pools.
What problems is the product solving and how is that benefiting you?
Cast AI solves the issue of sky-high cloud compute costs and manual cluster management by automating continuous kubernetes right-sizing and spot instance provision. For our streaming operations, this eliminates over provisioned infrastructure during lull periods and ensures our high-concurrency video delivery scales cost-effectively without manual operator intervention.
Hruthik G.
Stop Overpaying for Kubernetes! This One Tool Changed How We Manage K8s
Reviewed on Aug 12, 2026
Review provided by G2
What do you like best about the product?
What impresses me most about Cast AI is how much of the tedious Kubernetes infrastructure management it automates without compromising application reliability. Before using Cast AI, our team spent way too many hours manually tweaking node group configurations, reviewing rightsizing recommendations, and trying to balance cost against capacity.
Cast AI essentially puts cluster optimization on autopilot. Its real-time autoscaler dynamically provisions the exact instance sizes required based on actual pod demand, rather than relying on rigid, pre-defined node pools. The way it manages Spot instances is also incredible—it predicts interruptions before they hit and smoothly shifts workloads over to On-Demand instances with zero application downtime. Seeing clear cost breakdown dashboards alongside immediate 30% to 50% cloud bill reductions right out of the gate makes it one of the highest-ROI tools in our stack.
Cast AI essentially puts cluster optimization on autopilot. Its real-time autoscaler dynamically provisions the exact instance sizes required based on actual pod demand, rather than relying on rigid, pre-defined node pools. The way it manages Spot instances is also incredible—it predicts interruptions before they hit and smoothly shifts workloads over to On-Demand instances with zero application downtime. Seeing clear cost breakdown dashboards alongside immediate 30% to 50% cloud bill reductions right out of the gate makes it one of the highest-ROI tools in our stack.
What do you dislike about the product?
While the automation works remarkably well, the initial learning curve can be a bit steep if you are relatively new to advanced Kubernetes concepts or complex autoscaling policies. Because the platform has so many granular toggles, guardrails, and policy options, taking the time to configure them properly to align with your organization's security and compliance standards requires careful planning.
Additionally, troubleshooting why the platform made a specific node selection or scaling decision during edge-case traffic bursts isn't always immediately obvious in the logs, so you sometimes have to dig through the dashboard telemetry to understand the automated logic behind certain provisioning choices.
Additionally, troubleshooting why the platform made a specific node selection or scaling decision during edge-case traffic bursts isn't always immediately obvious in the logs, so you sometimes have to dig through the dashboard telemetry to understand the automated logic behind certain provisioning choices.
What problems is the product solving and how is that benefiting you?
Managing cloud infrastructure costs in a growing Kubernetes environment is a constant battle against over-provisioning. Developers naturally request more CPU and memory than their applications actually consume, which leads to massive amounts of wasted cloud spend across our clusters.
Cast AI solves this by continuously monitoring actual pod resource utilization and rightsizing workloads in real-time. It continuously replaces underutilized nodes with cost-effective, perfectly sized instances without manual engineering intervention. The benefit for our business has been twofold: we slashed our monthly cloud compute infrastructure bills by almost half, and our DevOps engineers no longer have to spend hours babysitting cluster configurations and manual scaling policies, freeing them up to focus on core product delivery.
Cast AI solves this by continuously monitoring actual pod resource utilization and rightsizing workloads in real-time. It continuously replaces underutilized nodes with cost-effective, perfectly sized instances without manual engineering intervention. The benefit for our business has been twofold: we slashed our monthly cloud compute infrastructure bills by almost half, and our DevOps engineers no longer have to spend hours babysitting cluster configurations and manual scaling policies, freeing them up to focus on core product delivery.
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.