--- title: Cast AI Reviews meta_title: 'Cast AI Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 193 reviews by the users' company size, role or industry to find out how Cast AI works for a business like yours. aggregate_rating: rating_value: 4.6 review_count: 193 scale: '5' date_modified: '2026-07-20' parent_category: name: IT Management url: https://www.g2.com/categories/it-management --- # Cast AI Reviews **Vendor:** Cast AI **Category:** [Cloud Cost Management Tools](https://www.g2.com/categories/cloud-cost-management) **Average Rating:** 4.6/5.0 **Total Reviews:** 193 ## About Cast AI Cast AI is an automation platform for operating cloud-native and AI infrastructure at scale. It keeps applications fast and stable by continuously optimizing production systems and eliminating manual operations as environments scale. ## Cast AI Pros & Cons **What users like:** - Users value the **cost management capabilities** of CAST AI, effectively reducing cluster costs and avoiding interruptions. (53 reviews) - Users value the **cost-saving benefits** of CAST AI, significantly reducing cloud expenses while optimizing Kubernetes management. (53 reviews) - Users value the **ease of use** of CAST AI, finding it straightforward to set up and operate effectively. (50 reviews) - Users highlight the **significant cost reduction** achieved with CAST AI through autonomous optimization and intelligent resource management. (49 reviews) - Users value the **cost-effectiveness** of CAST AI for managing clusters and optimizing expenses effortlessly. (48 reviews) - Auto Scaling (41 reviews) - Users value the **cost-saving recommendations** from CAST AI, enhancing optimization and automation for Kubernetes clusters. (40 reviews) - Automation (37 reviews) - Easy Setup (35 reviews) - Users commend CAST AI for its **cost-effective solutions** , achieving up to 60% savings on cloud bills without sacrificing performance. (32 reviews) **What users dislike:** - Users face **scaling issues** with CAST AI when dealing with bursty workloads, affecting performance and budget management. (13 reviews) - Users find the **pricing high** , especially for small clusters, despite the tool paying for itself initially. (12 reviews) - Users face a **substantial learning curve** with advanced features, requiring time to understand and utilize effectively. (11 reviews) - Users report **poor documentation** leading to confusion and contradictory information from support, complicating their experience. (10 reviews) - Users find **pricing issues** with CAST AI, highlighting a need for improved clarity and transparency in cost reporting. (10 reviews) - Users find the **UI navigation to be slow** , suggesting simplification and better accessibility for an improved experience. (10 reviews) - Users express concerns about **integration issues** affecting cost accuracy and workload optimization in Cast AI. (9 reviews) - Difficulty in Usage (8 reviews) - Software Bugs (8 reviews) - Complexity (7 reviews) ## Cast AI Reviews ### 1. Super Helpful Support and Incredible Savings with Minimal Effort **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.) **Reviewed Date:** February 10, 2026 **What do you like best about Cast AI?** The support team is super helpful, the money saved is great, and it's a relatively low lift to start seeing incredible savings. **What do you dislike about Cast AI?** Honestly, I don't dislike anything. The hardest part about using the workload rightsizer is really the amount of time we need to work with application teams to think about workload rightsizing which is a problem most startups will have. **What problems is Cast AI solving and how is that benefiting you?** Node rightsizing, helps a ton by saving us money. ### 2. Effortless Cost Optimization with Hands-On Cast AI Support **Rating:** 5.0/5.0 stars **Reviewed by:** Albert E. | Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** February 10, 2026 **What do you like best about Cast AI?** Cost Optimization is the key feature that enables our Projects to lessen the burden solving optimization with ease. As far as I've seen other team members, they have been asking a lot of questions within the Cast AI implementation itself. **What do you dislike about Cast AI?** None so far. Cast AI's Team support are fully hands-on even with a small details of questions **What problems is Cast AI solving and how is that benefiting you?** Still the Cost Optimization and being a User-Friendly UI. ### 3. Excellent Node Autoscaler That Fits Our Needs Perfectly **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Retail | Enterprise (> 1000 emp.) **Reviewed Date:** February 11, 2026 **What do you like best about Cast AI?** The node autoscaler is a great replacement for the one on GCP, and it works really well for our needs. It also lets us mix different types of machines, which makes it much easier to tailor the setup to what we want. **What do you dislike about Cast AI?** So far, the workload autoscaler for our Java workload hasn’t been working as well as we expected. **What problems is Cast AI solving and how is that benefiting you?** GCP’s node autoscaler wasn’t able to provide a solution that lets us mix both the machine kind and the instance type (spot or on-demand). Because of that, we couldn’t get a setup that’s close to our needs while still benefiting from an interesting discount. ### 4. Efficient Cost Optimization with Smooth Setup **Rating:** 3.5/5.0 stars **Reviewed by:** Yashvandh B. **Reviewed Date:** February 12, 2026 **What do you like best about Cast AI?** I like CAST AI for its on-demand node scaling, which eliminates the need for manually configuring node scaling as I did earlier. The initial setup was very smooth using Curl. **What do you dislike about Cast AI?** Nothing **What problems is Cast AI solving and how is that benefiting you?** I use CAST AI for cost optimization on AWS EKS clusters. It automates node scaling, so I don't worry about manual configuration, making cost estimation for new services simpler based on optimized pods. ### 5. Cut k8s Cluster Costs by ~60% and Freed Budget to Scale **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Mid-Market (51-1000 emp.) **Reviewed Date:** February 11, 2026 **What do you like best about Cast AI?** It helped me reduce the k8 s cluster cost by approx 60%. This revenue saved helped us build and scale up other clusters with better services **What do you dislike about Cast AI?** The UI could be a bit more intuitive. The AI-based auto-sizing also seems extremely aggressive, which has caused some operational issues for us. In the end, we had to turn it off. **What problems is Cast AI solving and how is that benefiting you?** Cost for my infra Autoscaler scheduling ### 6. Major Cost Savings with Rapid Provisioning, Spot Instances & Autoscaling **Rating:** 5.0/5.0 stars **Reviewed by:** Duhui K. | SamsungWallet SRE, Enterprise (> 1000 emp.) **Reviewed Date:** February 10, 2026 **What do you like best about Cast AI?** Cost savings through rapid provisioning, Spot instance usage, and workload autoscaling. It was also easy to change Node settings, making it easy to switch from Intel to Graviton. **What do you dislike about Cast AI?** Thanks to the great support, I was able to onboard without any problems. **What problems is Cast AI solving and how is that benefiting you?** The advantages are the same as mentioned above. As the service grows, concerns about cost and stability arise, and both are met. ### 7. Mature Automation, Spot-On Recommendations, and Great Reports **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Telecommunications | Enterprise (> 1000 emp.) **Reviewed Date:** February 11, 2026 **What do you like best about Cast AI?** The automation is very mature, and the recommendations are also on point. The reports are great as well. **What do you dislike about Cast AI?** Some parts of the report are still a little confusing to read, especially in the optimization overview. Also, if it weren’t limited only to Kubernetes, it would be perfect. **What problems is Cast AI solving and how is that benefiting you?** The automation aspect of right-sizing and choosing the best node type for a Kubernetes cluster. ### 8. Outstanding Cost Optimization and Support **Rating:** 4.5/5.0 stars **Reviewed by:** Shem Tov F. **Reviewed Date:** February 12, 2026 **What do you like best about Cast AI?** The tool is moving forward at the technology edge and delivering amazing features for k8s cost-optimization and high-availability. They are the technology pioneers doing the things no one did before like Java live resources adjustment and live pod migration **What do you dislike about Cast AI?** nothing specific to add to what I previously shared **What problems is Cast AI solving and how is that benefiting you?** CAST AI helps me with cost optimization, improving performance, and reducing manual actions. ### 9. Powerful Cost-Cutting: Scheduled Rebalancing and Granular Cost Analytics **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Retail | Mid-Market (51-1000 emp.) **Reviewed Date:** February 11, 2026 **What do you like best about Cast AI?** all of the cost cutting features like the scheduled rebalancing feature, and the analytics to see what each resources costs in a granular way. **What do you dislike about Cast AI?** From past experience, the workload autoscaler (VPA) has been hit or miss with some of our workloads that have bursty usage, like large file uploads, causing the pod to restart and the upload to fail. **What problems is Cast AI solving and how is that benefiting you?** Cost-savings and compute usage efficiency had been our biggest concern before and now it's well maintained by castai through rebalancing, spot instances, etc. Next, we're excited about exploring the use of OMNI to obtain access to high-end GPUs. ### 10. Intuitive Dashboards, Easy Cost Optimization **Rating:** 3.0/5.0 stars **Reviewed by:** Victor V. **Reviewed Date:** February 11, 2026 **What do you like best about Cast AI?** I like CAST AI for Cost Monitoring and Analytics. I find the dashboards and UI really appealing. The cluster optimization agents are valuable tools that I use. The initial setup was easy peesy, which made getting started quite simple. **What do you dislike about Cast AI?** Nothing i could think of **What problems is Cast AI solving and how is that benefiting you?** I use CAST AI for cost monitoring, understanding cost identity, and optimizing cost leakage. ### 11. Clear UI and cost efficiency with CAST AI **Rating:** 4.5/5.0 stars **Reviewed by:** Marvin H. | Senior DevOps Engineer **Reviewed Date:** February 10, 2026 **What do you like best about Cast AI?** I clearly appreciate the clear UI and easy operation of CAST AI. It clearly shows me where I have potential savings, autonomously scales our clusters, and ensures that our resources are the right size. **What do you dislike about Cast AI?** - **What problems is Cast AI solving and how is that benefiting you?** I use CAST AI for cost monitoring to minimize outages, identify savings potentials, automatically scale clusters, and optimally size resources. ### 12. Automatic Scaling That Saves Time **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** February 16, 2026 **What do you like best about Cast AI?** The time saved scaling workloads automatically! **What do you dislike about Cast AI?** In the past we had problems with their automatic recommendations getting applied multiple times. This is not happening now, they've improved their algorithms! **What problems is Cast AI solving and how is that benefiting you?** We have cases where rapid resource scaling is necessary. Cast AI helps with it, giving more headroom to workloads that need short-time resouce bursts. ### 13. Spot Fallback and Node Rebalancing Make a Big Difference **Rating:** 5.0/5.0 stars **Reviewed by:** sravani t. | devops engineer, Enterprise (> 1000 emp.) **Reviewed Date:** February 23, 2026 **What do you like best about Cast AI?** I liked the spot fallback feature and also like the feature of rebalancing the node. **What do you dislike about Cast AI?** I feel it is costly compared to the other open source alternative tools. **What problems is Cast AI solving and how is that benefiting you?** It is a very useful tool that helps our workflow in a better way to do faster and frequent releases. ### 14. Easy to Use and Delivers a Smooth Experience **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Retail | Mid-Market (51-1000 emp.) **Reviewed Date:** February 23, 2026 **What do you like best about Cast AI?** It is easy to use, easy to implement, has good support, and meets all our needs. **What do you dislike about Cast AI?** So far so good, we haven't had any problems **What problems is Cast AI solving and how is that benefiting you?** It helped us optimize our infrastructure and gave us visibility into certain problems ### 15. Efficient Scaling and Cost Optimization with Ease **Rating:** 5.0/5.0 stars **Reviewed by:** Harini Priya D. | Mid-Market (51-1000 emp.) **Reviewed Date:** March 02, 2026 **What do you like best about Cast AI?** 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 Cast AI?** nothing **What problems is Cast AI solving and how is that benefiting you?** I use CAST AI for autoscaling and managed scaling, which help with rebalancing and cost optimization. ### 16. Intuitive, quickly integrated, and noticeably saves time and costs **Rating:** 4.5/5.0 stars **Reviewed by:** Firat Y. | Product Manager Digital Vehicle Sales, Enterprise (> 1000 emp.) **Reviewed Date:** February 13, 2026 **What do you like best about Cast AI?** Very intuitive operation.\nEasy integration into existing systems.\nQuick implementation without much effort.\nGood overview in the dashboard.\nSaves time and costs. **What do you dislike about Cast AI?** Partial lack of transparency in optimizations. Extended functions could be explained more clearly. Reporting could be more detailed. **What problems is Cast AI solving and how is that benefiting you?** Automatically reduces cloud costs. Optimizes resources efficiently. Saves manual work in the DevOps team. ### 17. Cuts Cluster Costs with Super Support and Easy Helm Deployment **Rating:** 5.0/5.0 stars **Reviewed by:** Kushtrim M. | Staff System Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** February 11, 2026 **What do you like best about Cast AI?** It reduces the cost of clusters and also there is super good support by the cast AI team. It's deployed easily to the cluster helm charts. **What do you dislike about Cast AI?** Right now, the only thing that was an issue was onboarding user. No other comments **What problems is Cast AI solving and how is that benefiting you?** Right now trying to resolve Streaming jobs ### 18. Easy and Uncomplicated Implementation **Rating:** 5.0/5.0 stars **Reviewed by:** Carlos A. | Gerente de Engenharia de Plataforma e IA, Enterprise (> 1000 emp.) **Reviewed Date:** December 27, 2025 **What do you like best about Cast AI?** The ease of implementation, in a few steps I managed to activate the automation on my EKS. **What do you dislike about Cast AI?** Advanced reports with export options are missing. **What problems is Cast AI solving and how is that benefiting you?** The maintenance of machine families on AWS. ### 19. Node Type Flexibility and Rebalancing Make Maintenance Easy. And the customer support is Bravo **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Financial Services | Small-Business (50 or fewer emp.) **Reviewed Date:** February 12, 2026 **What do you like best about Cast AI?** Being able to choose specific types of nodes has helped us a lot. I also love the rebalancing feature, which makes upgrades and ongoing maintenance much easier. **What do you dislike about Cast AI?** Well the logs/audit-logs are a bit less informative to debug somethings. **What problems is Cast AI solving and how is that benefiting you?** The biggest problem its solving is scaling right amount/size of nodes and with features like graceful draining. Also I like the feature that we can have multiple node templates/configuration and that can be used using labels and selectors ### 20. Effortlessly Scales and Optimizes Costs **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** February 10, 2026 **What do you like best about Cast AI?** I like CAST AI for its interactive UI and ease of use, which really help in managing scaling and cost optimization. The initial setup was very easy. **What do you dislike about Cast AI?** None as of now. If possible, they could come up with more observability features to make the product easier to monitor and understand. **What problems is Cast AI solving and how is that benefiting you?** I use CAST AI for cost optimization and scaling. Its interactive UI and ease of use help me scale and save money. ### 21. Easy-to-Use Tool with Useful Workload and Node Balancing **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Business Supplies and Equipment | Mid-Market (51-1000 emp.) **Reviewed Date:** February 12, 2026 **What do you like best about Cast AI?** Workload balancing and node balancing are useful overall, and the tool is easy to use. **What do you dislike about Cast AI?** It’s expensive. For now, it pays for itself, but it’s definitely not really cheap. **What problems is Cast AI solving and how is that benefiting you?** uese AI to balance workfload ### 22. A solution that cuts costs and reduce operational overhead by optimising Kubernetes resources **Rating:** 5.0/5.0 stars **Reviewed by:** Dheeraj A. | Head Of DevOPS, Enterprise (> 1000 emp.) **Reviewed Date:** July 09, 2025 **What do you like best about Cast AI?** - 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 **What do you dislike about Cast AI?** No complaints, the Cast support is great **What problems is Cast AI 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. ### 23. Clear Infrastructure Cost Insights with Cast Ai **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Marketing and Advertising | Mid-Market (51-1000 emp.) **Reviewed Date:** February 12, 2026 **What do you like best about Cast AI?** Cast Ai provides a clear overview of my infrastructure costs. It helps me understand where the spend is going and makes it easier to identify the lowest prices. **What do you dislike about Cast AI?** It has recently become more expensive. Maybe that’s due to scaling up or adding extra features we don’t need. **What problems is Cast AI solving and how is that benefiting you?** It significantly lowers the cost of the nodes we need to run our jobs. We use it primarily for cost efficiency. ### 24. Powerful node autoscaling and cost management, but may be tricky in complex setups **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Retail | Mid-Market (51-1000 emp.) **Reviewed Date:** February 11, 2026 **What do you like best about Cast AI?** Wide and automated choice over node tiers, advanced options compared to basic autoscalers **What do you dislike about Cast AI?** Not so easy to implement in a complex context, issues of idempotency of the TF resources **What problems is Cast AI solving and how is that benefiting you?** FinOps optimisation ### 25. Detailed cost analysis & automatic Kubernetes rebalancing for optimal costs **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.) **Reviewed Date:** February 10, 2026 **What do you like best about Cast AI?** Detailed cost analysis down to the namespace and workload level, combined with automatic rebalancing of Kubernetes workloads and nodes. This enables automatic cost optimization. **What do you dislike about Cast AI?** I have no suggestions for improvement to share. **What problems is Cast AI solving and how is that benefiting you?** Cost optimization for AWS/Kubernetes workloads ### 26. Simple UI with Quick Cost Insights **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Enterprise (> 1000 emp.) **Reviewed Date:** February 10, 2026 **What do you like best about Cast AI?** Simple UI and Quick cost insights to reduce the cluster costs. **What do you dislike about Cast AI?** Tool is expensive and it doesn't have the backward /forward compatibility for other products **What problems is Cast AI 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. ### 27. Cost Savings with Excellent, Responsive Support **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Services | Enterprise (> 1000 emp.) **Reviewed Date:** February 10, 2026 **What do you like best about Cast AI?** Costs savings, excellent and responsive support **What do you dislike about Cast AI?** Did not see anything specific to dislike so far **What problems is Cast AI solving and how is that benefiting you?** Make sure that allocated resources are used at maximum efficiency ### 28. Workload Right-Sizing Boosts Resilience and Kubernetes Compute Management **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Airlines/Aviation | Enterprise (> 1000 emp.) **Reviewed Date:** February 10, 2026 **What do you like best about Cast AI?** Workload right sizing helps to right size the workload by increasing the resilience and kubernetes cluster node compute management helps to manage compute on cluster **What do you dislike about Cast AI?** Config via code has few challenges but product works as expected **What problems is Cast AI solving and how is that benefiting you?** Workload right sizing helps to right size the workload by increasing the resilience and kubernetes cluster node compute management helps to manage compute on cluster ### 29. Cuts Costs and Automates Infrastructure Provisioning **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** February 18, 2026 **What do you like best about Cast AI?** It helps reducing costs and automating infrastructure provisioning. **What do you dislike about Cast AI?** Sometimes, when I contact support, their responses tend to contradict each other or conflict with the documentation. For example, the way to introduce vpa and hpa at the the same time **What problems is Cast AI solving and how is that benefiting you?** select the correct CPU and memory configurations, and add more triggers for our autoscalers. ### 30. Short experience with CAST AI **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Animation | Enterprise (> 1000 emp.) **Reviewed Date:** July 17, 2025 **What do you like best about Cast AI?** 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 Cast AI?** 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 Cast AI 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. ### 31. Cost-efficient Kubernetes optimization using AI **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** July 09, 2025 **What do you like best about Cast AI?** 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 Cast AI?** 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 Cast AI 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. ### 32. Smooth Journey with CASTAI **Rating:** 5.0/5.0 stars **Reviewed by:** Naresh Y. | DevOps Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** January 16, 2025 **What do you like best about Cast AI?** CAST AI is an easy tool to onboard the kubernetes clusters.It provides the easy dashbords to understand the CPU and RAM utilization of the Node and workloads.It is easy to implement the things with the help of CAST.Quick action on the issues with the 24X7 customer support. Schedule rebalacing is the great feature provided by CAST with which we can schedule the rebalancing with the flexible timings.We from our organization will be frequently viewing the console.It also provides the slack configurations and alerts on the metrics. **What do you dislike about Cast AI?** CAST AI should improve on the below features like proving the logs for the workload autoscalers,Audit logs has to be improved for more understanding of the onboardings. **What problems is Cast AI solving and how is that benefiting you?** The main problem CAST solved me is that we have been spending alot of credits on the kuberneties clusters in our organization but with the help of the CAST we have seen huge savings. ### 33. Awesome Tool That Significantly Reduces Cloud K8s Costs **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.) **Reviewed Date:** February 12, 2026 **What do you like best about Cast AI?** This tool is awesome and really helps reduce the major burden of cloud costs. Customer Support is exceptional. **What do you dislike about Cast AI?** Installing add-ons from the cast.AI console itself **What problems is Cast AI solving and how is that benefiting you?** Cost, workload, and auto-scaling. ### 34. CAST AI Tool review **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Education Management | Mid-Market (51-1000 emp.) **Reviewed Date:** March 04, 2025 **What do you like best about Cast AI?** CAST AI helps organizations in managing cloud resources and optimizing the costing part with high availability at low cost . Their consulting team is very dependable and are available anytime almost. Integration to CAST AI is super easy and we have connect our cluster to CAST AI tool and using node templates and resource allocation the machine type and resources were scheduled to the pods in the Google Kubernetes Engine cluster.Even we can define the region where to spawn our pods. We used terraform script to connect our clusters to CAST AI tools.The CAST AI team is very helpful in the integration part by providing the documentation to connect our cluster to CAST AI. **What do you dislike about Cast AI?** Sometimes there are some issues that popup like machine types that might not supported by apps we provisioned by CAST AI tool which really annoys me. **What problems is Cast AI solving and how is that benefiting you?** CAST AI helps us in reducing the costing part for cloud resource maintenance and they also helps us to rightsize the workloads in gke ### 35. Centralized Monitoring and Cost Savings for solutions using k8s multi-tenancy **Rating:** 4.5/5.0 stars **Reviewed by:** alexandru c. | Senior Solutions Architect, Small-Business (50 or fewer emp.) **Reviewed Date:** July 01, 2025 **What do you like best about Cast AI?** 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 Cast AI?** 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 Cast AI solving and how is that benefiting you?** Cost monitoring and optimization across a large number of k8s clusters , each cluster with many namespaces ### 36. Automatic Machine Selection Is Great, But Needs Improvement **Rating:** 5.0/5.0 stars **Reviewed by:** Faisal M. | DEVOPS ENGINEER, Mid-Market (51-1000 emp.) **Reviewed Date:** October 22, 2025 **What do you like best about Cast AI?** Automatically selecting the machine type **What do you dislike about Cast AI?** Please add more feature documentation on console **What problems is Cast AI solving and how is that benefiting you?** I dont have to sit and select the machine type and cost saving are very good ### 37. Product is straight forward and Support is great **Rating:** 5.0/5.0 stars **Reviewed by:** Johannes G. | Expert Lead Cloud and DevOps, Enterprise (> 1000 emp.) **Reviewed Date:** November 25, 2024 **What do you like best about Cast AI?** It was very easy for us to switch from AWS EKS Karpenter to CastAI. There Terraform Modules enabled us to integrate it perfectly into our Infrastructure as Code workflows. We already during the POC, were able to reduce the Instance Costs by arround 30%, so the product payed for itself. Because of that it was very easy to convince the management to buy the product. Right now we are working together with cast ai to implement vertical and horezontal autoscaling for all our main workloads (Cast ai VPA+ keda HPA). **What do you dislike about Cast AI?** Permission Model needs to be extended. Currently there is no way to give permissions per cluster or namespace. That would be needed for shared responsibility. **What problems is Cast AI solving and how is that benefiting you?** It improves the Cluster Node Scaling and Spot selection. This reduces Instance costs already by arround 30% for us. We are working on implementing Autoscaling for all our major workloads, by combining cast ai's vertical pod autoscaling and Keda for horezontal autoscaling on application metrics. ### 38. Cast.AI: Innovative savings automation meets outstanding support **Rating:** 4.5/5.0 stars **Reviewed by:** Dario L. | Devops SRE, Mid-Market (51-1000 emp.) **Reviewed Date:** November 26, 2024 **What do you like best about Cast AI?** Cast.AI's cloud cost automation offers a robust solution for resource optimization through its innovative technology, significantly alleviating the burden on DevOps teams. As it integrates seamlessly into our Kubernetes clusters, it has become a critical component of our infrastructure. Without the solid support from Cast.AI, the integration process could have been risky and complex. What truly sets Cast.AI apart is how it simplifies onboarding and ensures that users can effectively utilize all features. The support team is always prompt and effective, providing the necessary guidance to navigate the complexities of the tool. This level of assistance instills confidence in both the platform and the dedicated professionals behind it. **What do you dislike about Cast AI?** I have no significant complaints about Cast.AI; any issues encountered during our integration journey have been promptly resolved by the support team or even directly by the developers. **What problems is Cast AI solving and how is that benefiting you?** Reduce resource waste and lowering overall cost of our cloud infrastructure ### 39. A cost-savings dream for cluster administrators **Rating:** 5.0/5.0 stars **Reviewed by:** Cameron L. | System Analyst, Internet, Enterprise (> 1000 emp.) **Reviewed Date:** November 15, 2024 **What do you like best about Cast AI?** Starting off -- CAST is extremely easy to install and configure. They offer scripted install, Helm charts, and Terraform modules which made it very simply to integrate them into our existing cluster bootstrapping process. Once deployed you instantly are met with dashboards that wil give you valuable insights into spend, usage, and security and enacting cost savings is as simple as clicking a button. From that moment on they do all of the legwork in node selection and ensure that your nodegroups are running at the most efficient price-point and are scaling as-needed. Say goodbye to manually provisioning and manging node groups for good. Support has aslo been a high-point when working with CAST. In the rare occasion that we have encountered any issues they have been extraordinarily responsive and dedicate resources to assist with our problem until it is resolved, no matter the time of day or night. **What do you dislike about Cast AI?** The primary difficulty that we have encountered with CAST is cost justification. The tool costs significantly less money than it saves (and is by far a net positive), however, we find ourselves having to explain to leadership why our largest cost is now CAST. Ultimately this is easy to explain, it is jsut something that we encounter often. **What problems is Cast AI solving and how is that benefiting you?** CAST handles our node selection and provisioning for us entirely. We just install cast in clusters and walk away and can trust that our costs are as low as possible and that our node provisioning will run smoothy. ### 40. Simple to get going, fast and dedicated support will get you fully optimized **Rating:** 4.5/5.0 stars **Reviewed by:** Julius B. | CTO/Co-founder, Small-Business (50 or fewer emp.) **Reviewed Date:** December 30, 2024 **What do you like best about Cast AI?** Simple configuration to get going, user friendly interface. You get a safe way to test out the features in a "view" mode before committing to your purchase, and you can activate feature by feature easily. Deep customization using kubernets primitives and you can tune how aggressive the rebalancer is. Dedicated support monitors your clusters metrics and utilization, and they let you know if you should consider rebalancing certain nodes, very quick reponse time and they are quick to find solutions if you run into problems. **What do you dislike about Cast AI?** still needs work on custom replica sets, for example ones controlled by Strimzi Kafka and ArangoDB. **What problems is Cast AI solving and how is that benefiting you?** Keeping costs down while still scaling based on the needs of the cluster. ### 41. Huge savings on our AWS cloud expenses! **Rating:** 5.0/5.0 stars **Reviewed by:** Ron G. | VP R&D, Mid-Market (51-1000 emp.) **Reviewed Date:** October 10, 2024 **What do you like best about Cast AI?** Cast does a great job at optimizing the workload, thus reducing the cloud costs. we were pretty optimized already and it still saved us around 30-40% of the total costs(!) The team is very engaged and really care about our success. they are always there to answer questions and do deep dives when changes are made Also they give very good transparency so you know where you stand And I loved the onboarding process where they monitor your clusters and tell you how much money you could have spent, which was pretty accurate when we connected them. it was a smooth process, so implementation was really painless **What do you dislike about Cast AI?** Nothing specfic I dislike, there are always things to improve, but generally - I like the product and I like them as partners **What problems is Cast AI solving and how is that benefiting you?** We have millions of K8S jobs running weekly. We were using the AWS scaler and we had a feeling we were paying too much for what we were running. One of our DevOps engineers thought we really need to try a solution and recommended we tried cast. from the moment we started using them we say 30-50% savings on clusters instantly. The bin packing and better orchestration of jobs together to a great job at optimizing the use of compute resources and really saves you money The only thing we regretted was that we waited so long ### 42. A Kubernetes scheduling tool that we were missing **Rating:** 4.5/5.0 stars **Reviewed by:** Nicolas H. | Lead SRE, Mid-Market (51-1000 emp.) **Reviewed Date:** May 24, 2023 **What do you like best about Cast AI?** The simplicity of installation and use of the platform. In about 20 minutes you have your Kubernetes nodes managed by cast.ai. It was really quick and easy to set up. The configuration of the different node types is also very convenient and the cost tracking is very powerful. **What do you dislike about Cast AI?** Actually, nothing. The product corresponded totally to our needs and expectations. But if we really want to find something to complain about, we could talk about the price. The pricing per CPU can be disadvantageous in some cluster configurations I think. In our case, we managed to negotiate a fixed price. **What problems is Cast AI solving and how is that benefiting you?** Cast.ai allows us to easily track the cost of our clusters and the various Kubernetes applications and namespaces. And in terms of node scheduling it allows us to have Kubernetes nodes faster and better balanced than the basic scheduling of our Cloud provider. Scheduling is the feature that interested us the most, especially for setting up spot nodes (reduced rates) very easily. ### 43. A Kubernetes automation platform we were missing **Rating:** 5.0/5.0 stars **Reviewed by:** Danail S. | DevOps engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** September 05, 2024 **What do you like best about Cast AI?** So we had issues in a small team managing a couple of clusters in different environment and managing them in cost effective way. We appreciate the ease of use and the efficiency gains CAST provides, allowing teams to focus on development rather than infrastructure management. We also significantly reduced cloud costs for AKS in Azure. CAST is helping for managing cluster autoscaling and spawn optimal nodes. Also additional features like security scanning and giving potential vulnerabilities in our images helps a lot. The simplicity of installation of the platform, cost optimization ,security features , bin packing, cost tracking, workloads right sizing and many more makes the platform really brilliant. Also helping us to easily upgrade k8s from version to version. Even the features that we potenatially might need and are not yet implemented they listen and plan some feature request for them. Last but not least is the awesome fast and accurate support from CAST team in case of issues. **What do you dislike about Cast AI?** I dont have any significant complains about CAST AI at this moment. **What problems is Cast AI solving and how is that benefiting you?** Recommendations and cost optimization. Reducing the cost of AKS clusters. Automation bean packing and ease of upgrade for k8s versions. Workloads right sizing. Reight sizing of the nodes and especially spot instances. Responsiveness of CAST AI's support team in case of issues. Detailed usage patterns, allowing teams to make informed decisions about optimizations. Security image scanning feature for Vulnerabilities of the images. ### 44. EC2 Worker Management Automated **Rating:** 5.0/5.0 stars **Reviewed by:** David N. | Senior Devops Cloud Infrastructure Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** October 28, 2024 **What do you like best about Cast AI?** Fairly simple to install, we used it's Terraform provider -- and the team onboarding with us actively addressed some minor issues from the provider on the fly (literal next day solutions +1). Initially i was pretty skeptical and nervous about handing over scaling of EC2 to a third party - but after it was in play we saw DRAMATIC savings wherever it was installed with our many EKS clusters, and little to no impact to services hosted inside of them. The impacts we had seen were from our own installations for PVC management, that we have since rectified and its been resilient since. Totally worth checking out, highly recommended. **What do you dislike about Cast AI?** Workload optimization seems to strip out the CPU limits, and i dont see a means in the settings for it to brick that behavior. There are annoations etc - but would prefer something also to be globally accessible to prevent that. Additionally, node sizes work fairly well - but with worker consolidation we had some workers end up with 90+ pods on them -- and with our stack the resources aren't totally defined yet causing impact to other pods on the same ec2. Restricting total IP count as an optional setting would be nice. Problems we experienced were almost entirely due to negligence from our internal staff with kubernetes manifests however -- If those were configured properly it wouldn't even be mentioned. **What problems is Cast AI solving and how is that benefiting you?** Instead of static set workers or the generic cluster-autoscaler for kubernetes hosted in EKS, it provides a way to consolidate pods to ec2 so it can be more compacted. This ultimately saved us a ton of money overall. ### 45. The perfect fit to manage your workloads **Rating:** 5.0/5.0 stars **Reviewed by:** Ricardo S. | CloudOps Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** August 05, 2024 **What do you like best about Cast AI?** - It allowed us to not worry about the size needed for EC2 instances. Without worrying about the resources that the pods used, Cast.ai was able to help us rightsize the instances. Without it this would be a manual job everytime something changed on the workloads, meaning that now we have more time to focus on the overall picture knowing that Cast.ai is there to manage the costs of our infrastructure - Allowed us to quickly adapt and use different workloads for spot instances for example - Easy onboard even with the free version that allows to have an immediate knowledge on how much can it be saved - The possibility to use all the EC2 family types available with small configurations allowed us to quickly save and be ready for future growth and minimize possible cloud failures and lack of resources. For example if the configuration uses all the same family types of EC2 is probable that at some point in time there are not enough machines on the datacenter to provide the same service to multiple clients. Cast.ai allows to select the cheapest instances using filters if needed and always checking if the instances are available, if not, the next cheapest option is used - Great support from the team with new features appearing constantly. Our feedback is listened :) **What do you dislike about Cast AI?** To be sincere nothing until now happened that I could say that Cast.ai is not a great product **What problems is Cast AI solving and how is that benefiting you?** - It greatly reduced the costs on our side I would say at least 50% depending on the workloads used and every cluster is different. - With the possibility to predict if SPOT instances would be available we can minimize sudden disruptions on the server, that with a mix of spot instances can help even great cost reductions ### 46. Maximizing Cloud Savings Through Kubernetes Automation **Rating:** 5.0/5.0 stars **Reviewed by:** Vitalii B. | DevOps, Mid-Market (51-1000 emp.) **Reviewed Date:** January 08, 2025 **What do you like best about Cast AI?** CAST AI made Kubernetes cost optimization effortless. We saw immediate results, with significant savings and zero downtime during implementation. Main key points: - advanced node automation for node management and spot instance utilization - simplicity usage with maximum savings in one package **What do you dislike about Cast AI?** I don't have any significant complaints about CAST AI. They have been a reliable partner throughout our collaboration. **What problems is Cast AI solving and how is that benefiting you?** The ability to automatically scale and optimize workloads has not only reduced our Kubernetes costs but also freed up our DevOps team to focus on innovation rather than infrastructure management. By automating complex optimization tasks, CAST AI helps us avoid overspending on unused resources while maintaining seamless application performance. ### 47. A Kubernetes automation platform that helped us save on the cloud using Spot instances **Rating:** 4.0/5.0 stars **Reviewed by:** Cyril T. | SRE, Mid-Market (51-1000 emp.) **Reviewed Date:** July 22, 2024 **What do you like best about Cast AI?** -the interface is fairly clear and intelligible. The main options are available in the interface, making it easy to use the product. - really effective for optimising costs, particularly with the use of Spots and the integration of advanced features (spot fail back, mixed instance type, etc.) -Easy integration supporting Iac Tools like Terraform. -Really good support from the Team. **What do you dislike about Cast AI?** -The gains shown are not based on actual Azure costs, so they are slightly different. -Quota management could be improved. You discover that your quotas are not good after rebalancing. It would be smart to warn you beforehand. This could be done easily with IAM read permissions on the Quota part. - Workload autoscaler on daemonset and statefulset. This functionality should be available very soon **What problems is Cast AI solving and how is that benefiting you?** We wanted a reliable, dedicated solution for optimising workloads on AKS clusters. Cast doesn't spread itself too thinly over a host of features, but concentrates on optimisation (gain + security) and does it quite well. We didn't want to spend a lot of time administering AKS clusters in the optimisation part. We also wanted to know quite precisely how the costs were distributed within the clusters on different projects. Instead of developing processes or solutions ourselves, we rely on expertise and premium support. Which is a considerable gain for us ### 48. CastAi Review **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** March 06, 2025 **What do you like best about Cast AI?** Easy to use UI. Consolidation of things at one place. Good cost savings and hibernation concept is really good. **What do you dislike about Cast AI?** Some machine types are not supported. So, we need to select different machine types for our products. Build an overall platform not for just gcp but include other future of cloud as well such as db optimisations etc. **What problems is Cast AI solving and how is that benefiting you?** Our costs have reduced significantly. Support is good, we get the response pretty fast if something goes wrong. ### 49. The overall experience with CastAI has been great. **Rating:** 5.0/5.0 stars **Reviewed by:** Ravi D. | Principal DevOps Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** November 27, 2024 **What do you like best about Cast AI?** The easy installation, Deployment and upgrade. Expert and the blazing fast support. Very intutive UI. One among the best documentation. Seemless integration. **What do you dislike about Cast AI?** So far have not encountered anythign that can qualify a feature being irrelevant. Need more fine grain control to manage interdependant workloads. **What problems is Cast AI solving and how is that benefiting you?** We are using CASTAI primamrily to save overal cost. While using the product, it helped us identify data points to improvise and make it well architected. Reduced overal efforts and costs to develop and manage cost control mechanism. ### 50. Seamless Cloud Cost Optimization with CAST AI **Rating:** 4.5/5.0 stars **Reviewed by:** Aymen B. | Lead DevOps Engineer, Printing, Enterprise (> 1000 emp.) **Reviewed Date:** August 07, 2024 **What do you like best about Cast AI?** CAST AI has delivered immediate cost savings and simplified our Kubernetes management. The support team was exceptional during the integration process, ensuring a seamless and successful integration into our existing infrastructure. The security dashboard provides a lot of insightful info; yet I need to enable it in my clusters. The good thing is that even when we're using CAST AI, we can still have the backup option of using the regular cluster-autoscaler. **What do you dislike about Cast AI?** The Terraform documentation lacks details on how to configure the different components; but the support team is there to help you out. Also, it takes time to get used to how to troubleshoot errors you might face during the setup. **What problems is Cast AI solving and how is that benefiting you?** - Cloud cost reduction - Cluster autoscaling - Efficient resource utilization ## Cast AI Discussions - [What is CAST AI used for?](https://www.g2.com/discussions/what-is-cast-ai-used-for) - 1 comment, 1 upvote - [View Cast AI pricing details and edition comparison](https://www.g2.com/products/cast-ai/reviews?page=3§ion=pricing&secure%5Bexpires_at%5D=2026-07-22+06%3A18%3A40+-0500&secure%5Bsession_id%5D=c58daca3-63e4-4850-a605-c5a5b496d2af&secure%5Btoken%5D=49997dd4c7087ee2fbb936fe550cc922c40b1c0efd8c6f4b0b35898398fd126e&format=llm_user) ## Cast AI Integrations - [Amazon EC2](https://www.g2.com/products/amazon-ec2/reviews) - [Amazon Elastic Kubernetes Service (Amazon EKS)](https://www.g2.com/products/amazon-elastic-kubernetes-service-amazon-eks/reviews) - [Azure](https://www.g2.com/products/hopem-azure/reviews) - [Datadog](https://www.g2.com/products/datadog/reviews) - [Devtron](https://www.g2.com/products/devtron/reviews) - [Google Cloud](https://www.g2.com/products/google-cloud/reviews) - [Google Kubernetes Engine (GKE)](https://www.g2.com/products/google-kubernetes-engine-gke/reviews) - [Grafana Labs](https://www.g2.com/products/grafana-labs/reviews) - [IBM Terraform (formerly HashiCorp Terraform)](https://www.g2.com/products/ibm-terraform-formerly-hashicorp-terraform/reviews) - [Jira](https://www.g2.com/products/jira/reviews) - [Microsoft Azure](https://www.g2.com/products/microsoft-microsoft-azure/reviews) - [Prometheus](https://www.g2.com/products/prometheus/reviews) - [Pulumi](https://www.g2.com/products/pulumi/reviews) - [Slack](https://www.g2.com/products/slack/reviews) - [Slack Connector for Jira](https://www.g2.com/products/slack-connector-for-jira/reviews) ## Cast AI Features **Operations** - Scheduling - Automation - Multi-Cloud Management - Usage Monitoring **Functionality** - Cloud Consolidation - Cloud Orchestration - Cloud Optimization **Automated resource scaling** - Automatic resource discovery - Smart scaling **Cost Optimization** - Spend Forecasting and Optimization - Recommendations - Spend Tracking **Management** - Cloud Cost Analytics - Cloud Security - Cloud Resource Management - Cloud Backup and Recovery **Scaling strategies** - Pre-defined optimization strategies - Predictive scaling **Administration** - Reporting - Dashboards and Visualizations - Compliance **Visualization** - Unified scaling - Dashboard **Agentic AI - Cloud Management Platforms** - Autonomous Task Execution - Cross-system Integration - Decision Making **Agentic AI - Cloud Cost Management** - Autonomous Task Execution - Proactive Assistance - Decision Making ## Top Cast AI Alternatives - [IBM Turbonomic](https://www.g2.com/products/ibm-turbonomic/reviews) - 4.4/5.0 (288 reviews) - [Amazon CloudWatch](https://www.g2.com/products/amazon-cloudwatch/reviews) - 4.3/5.0 (363 reviews) - [Datadog](https://www.g2.com/products/datadog/reviews) - 4.4/5.0 (714 reviews)