--- title: Cast AI Reviews meta\_title: 'Cast AI Reviews 2026: Details, Pricing, & Features | G2' meta\_description: Filter 203 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: 203 scale: '5' date\_modified: '2026-08-10' parent\_category: name: IT Management url: https://www.g2.com/categories/it-management --- ### Cast AI Pros and Cons: Top 5 Advantages and Disadvantages #### Quick AI Summary Based on G2 Reviews Generated from real user reviews Users value the **cost management capabilities** of CAST AI, effectively reducing cluster costs and avoiding interruptions. [(53 mentions)](https://www.g2.com/products/cast-ai/reviews?filters%5Bsentiment_snippet%5D=1816843&qs=pros-and-cons#reviews) Users value the **cost-saving benefits** of CAST AI, significantly reducing cloud expenses while optimizing Kubernetes management. [(53 mentions)](https://www.g2.com/products/cast-ai/reviews?filters%5Bsentiment_snippet%5D=1817650&qs=pros-and-cons#reviews) Users value the **ease of use** of CAST AI, finding it straightforward to set up and operate effectively. [(50 mentions)](https://www.g2.com/products/cast-ai/reviews?filters%5Bsentiment_snippet%5D=1817429&qs=pros-and-cons#reviews) Users highlight the **significant cost reduction** achieved with CAST AI through autonomous optimization and intelligent resource management. [(49 mentions)](https://www.g2.com/products/cast-ai/reviews?filters%5Bsentiment_snippet%5D=1817031&qs=pros-and-cons#reviews) Users value the **cost-effectiveness** of CAST AI for managing clusters and optimizing expenses effortlessly. [(48 mentions)](https://www.g2.com/products/cast-ai/reviews?filters%5Bsentiment_snippet%5D=1816967&qs=pros-and-cons#reviews) Users face **scaling issues** with CAST AI when dealing with bursty workloads, affecting performance and budget management. [(13 mentions)](https://www.g2.com/products/cast-ai/reviews?filters%5Bsentiment_snippet%5D=1816774&qs=pros-and-cons#reviews) Users find the **pricing high** , especially for small clusters, despite the tool paying for itself initially. [(12 mentions)](https://www.g2.com/products/cast-ai/reviews?filters%5Bsentiment_snippet%5D=1817064&qs=pros-and-cons#reviews) Users face a **substantial learning curve** with advanced features, requiring time to understand and utilize effectively. [(11 mentions)](https://www.g2.com/products/cast-ai/reviews?filters%5Bsentiment_snippet%5D=1817127&qs=pros-and-cons#reviews) Users report **poor documentation** leading to confusion and contradictory information from support, complicating their experience. [(10 mentions)](https://www.g2.com/products/cast-ai/reviews?filters%5Bsentiment_snippet%5D=1817581&qs=pros-and-cons#reviews) Users find **pricing issues** with CAST AI, highlighting a need for improved clarity and transparency in cost reporting. [(10 mentions)](https://www.g2.com/products/cast-ai/reviews?filters%5Bsentiment_snippet%5D=1816876&qs=pros-and-cons#reviews) ### 5 Pros or Advantages of Cast AI ##### 1. Cost Management Users value the **cost management capabilities** of CAST AI, effectively reducing cluster costs and avoiding interruptions. [ See 53 mentions ](https://www.g2.com/products/cast-ai/reviews?filters%5Bsentiment_snippet%5D=1816843&qs=pros-and-cons#reviews) See Related User Reviews ![Vatsal D.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Vatsal D.") VD Vatsal D. Mid-Market (51-1000 emp.) 4.0/5 "CastAI Automation Cut Wasted Compute and Improved Cost Transparency" What do you like about Cast AI? What stood out to me most was the automation. Once it was set up, CastAI continuously analyzed our workloads and adjusted resources in real time. We s PP Pramod P. Enterprise (\> 1000 emp.) 4.5/5 "Automates Kubernetes and Cuts Costs Effectively" What do you like about Cast AI? I use CAST AI to automatically optimize the Kubernetes workload, which helps cut cloud costs without needing manual tuning. It eliminates the manual e ##### 2. Cost Saving Users value the **cost-saving benefits** of CAST AI, significantly reducing cloud expenses while optimizing Kubernetes management. [ See 53 mentions ](https://www.g2.com/products/cast-ai/reviews?filters%5Bsentiment_snippet%5D=1817650&qs=pros-and-cons#reviews) See Related User Reviews PP Pramod P. Enterprise (\> 1000 emp.) 4.5/5 "Automates Kubernetes and Cuts Costs Effectively" What do you like about Cast AI? I use CAST AI to automatically optimize the Kubernetes workload, which helps cut cloud costs without needing manual tuning. It eliminates the manual e ![Yogendra K.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Yogendra K.") YK Yogendra K. Enterprise (\> 1000 emp.) 5.0/5 "Effortless Cost Efficiency and Monitoring in Multi-Cloud Management" What do you like about Cast AI? I use CAST AI to manage our infrastructure, especially various EKS and GKE clusters for right sizing. It helps me select cost-efficient instances auto ##### 3. Ease of Use Users value the **ease of use** of CAST AI, finding it straightforward to set up and operate effectively. [ See 50 mentions ](https://www.g2.com/products/cast-ai/reviews?filters%5Bsentiment_snippet%5D=1817429&qs=pros-and-cons#reviews) See Related User Reviews ![Prashant P.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Prashant P.") PP Prashant P. Mid-Market (51-1000 emp.) 5.0/5 "Enhancing Cluster Visibility and Reducing Costs with CAST AI" What do you like about Cast AI? I’m genuinely impressed with the way CAST AI presents its user interface. The layout feels clean, intuitive, and thoughtfully designed, which makes it JR Jayapradeep R. 4.0/5 "Cost-Effective Scaling with Optimized Performance" What do you like about Cast AI? I like CAST AI for its workload autoscaler and optimized performance. It handles scaling and spot instances very well, especially with great bin packi ##### 4. Cost Reduction Users highlight the **significant cost reduction** achieved with CAST AI through autonomous optimization and intelligent resource management. [ See 49 mentions ](https://www.g2.com/products/cast-ai/reviews?filters%5Bsentiment_snippet%5D=1817031&qs=pros-and-cons#reviews) See Related User Reviews ![Vatsal D.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Vatsal D.") VD Vatsal D. Mid-Market (51-1000 emp.) 4.0/5 "CastAI Automation Cut Wasted Compute and Improved Cost Transparency" What do you like about Cast AI? What stood out to me most was the automation. Once it was set up, CastAI continuously analyzed our workloads and adjusted resources in real time. We s PP Pramod P. Enterprise (\> 1000 emp.) 4.5/5 "Automates Kubernetes and Cuts Costs Effectively" What do you like about Cast AI? I use CAST AI to automatically optimize the Kubernetes workload, which helps cut cloud costs without needing manual tuning. It eliminates the manual e ##### 5. Pricing Users value the **cost-effectiveness** of CAST AI for managing clusters and optimizing expenses effortlessly. [ See 48 mentions ](https://www.g2.com/products/cast-ai/reviews?filters%5Bsentiment_snippet%5D=1816967&qs=pros-and-cons#reviews) See Related User Reviews ![Vatsal D.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Vatsal D.") VD Vatsal D. Mid-Market (51-1000 emp.) 4.0/5 "CastAI Automation Cut Wasted Compute and Improved Cost Transparency" What do you like about Cast AI? What stood out to me most was the automation. Once it was set up, CastAI continuously analyzed our workloads and adjusted resources in real time. We s PP Pramod P. Enterprise (\> 1000 emp.) 4.5/5 "Automates Kubernetes and Cuts Costs Effectively" What do you like about Cast AI? I use CAST AI to automatically optimize the Kubernetes workload, which helps cut cloud costs without needing manual tuning. It eliminates the manual e ### 5 Cons or Disadvantages of Cast AI ##### 1. Scaling Issues Users face **scaling issues** with CAST AI when dealing with bursty workloads, affecting performance and budget management. [ See 13 mentions ](https://www.g2.com/products/cast-ai/reviews?filters%5Bsentiment_snippet%5D=1816774&qs=pros-and-cons#reviews) See Related User Reviews ![Vatsal D.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Vatsal D.") VD Vatsal D. Mid-Market (51-1000 emp.) 4.0/5 "CastAI Automation Cut Wasted Compute and Improved Cost Transparency" What do you dislike about Cast AI? I seldom observed wrongful recommendations applied to some workloads where CastAI applied resources higher than the maximum available capacity on our ![Verified User](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User") E Verified User Mid-Market (51-1000 emp.) 4.5/5 "Automated Rightsizing That Cuts Cloud Spend Without Sacrificing Performance" What do you dislike about Cast AI? While the initial returns were simple to realize on lower environments, the transition to production required more effort. We found that iterative tun ##### 2. Expensive Users find the **pricing high** , especially for small clusters, despite the tool paying for itself initially. [ See 12 mentions ](https://www.g2.com/products/cast-ai/reviews?filters%5Bsentiment_snippet%5D=1817064&qs=pros-and-cons#reviews) See Related User Reviews ST sravani t. Enterprise (\> 1000 emp.) 5.0/5 "Spot Fallback and Node Rebalancing Make a Big Difference" What do you dislike about Cast AI? I feel it is costly compared to the other open source alternative tools. JR Jayapradeep R. 4.0/5 "Cost-Effective Scaling with Optimized Performance" What do you dislike about Cast AI? I think the pricing of CAST AI could be improved. ##### 3. Learning Difficulty Users face a **substantial learning curve** with advanced features, requiring time to understand and utilize effectively. [ See 11 mentions ](https://www.g2.com/products/cast-ai/reviews?filters%5Bsentiment_snippet%5D=1817127&qs=pros-and-cons#reviews) See Related User Reviews ![Yogendra K.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Yogendra K.") YK Yogendra K. Enterprise (\> 1000 emp.) 5.0/5 "Effortless Cost Efficiency and Monitoring in Multi-Cloud Management" What do you dislike about Cast AI? For a beginner, it seems a little bit harder as a learning curve. RA Rishabh A. 4.5/5 "Autonomous K8s Optimization with Smooth Onboarding" What do you dislike about Cast AI? There are a few areas where the experience could be improved: some advanced features have a learning curve, the UI could be more streamlined in certai ##### 4. Poor Documentation Users report **poor documentation** leading to confusion and contradictory information from support, complicating their experience. [ See 10 mentions ](https://www.g2.com/products/cast-ai/reviews?filters%5Bsentiment_snippet%5D=1817581&qs=pros-and-cons#reviews) See Related User Reviews PP Pramod P. Enterprise (\> 1000 emp.) 4.5/5 "Automates Kubernetes and Cuts Costs Effectively" What do you dislike about Cast AI? I think the documentation and support guidance could be more consistent, particularly in areas like advanced autoscaling configurations. Clear, unifie ![Verified User](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User") A Verified User Mid-Market (51-1000 emp.) 4.0/5 "Cuts Costs and Automates 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 ##### 5. Pricing Issues Users find **pricing issues** with CAST AI, highlighting a need for improved clarity and transparency in cost reporting. [ See 10 mentions ](https://www.g2.com/products/cast-ai/reviews?filters%5Bsentiment_snippet%5D=1816876&qs=pros-and-cons#reviews) See Related User Reviews JR Jayapradeep R. 4.0/5 "Cost-Effective Scaling with Optimized Performance" What do you dislike about Cast AI? I think the pricing of CAST AI could be improved. DP Dinesh P. 4.5/5 "Hands-Free Automation Cuts Costs Dramatically" What do you dislike about Cast AI? I feel it's costly. The setup complexity is an issue along with limited documentation and pricing. I wish there was better SMB pricing, clearer onboar ![Ankit K.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Ankit K.") AK Ankit K. Designer Small-Business (50 or fewer emp.) 8/5/2026 "Automated Kubernetes Optimization with Clear Cost Visibility and Real Savings" 4.5/5 What do you like best about Cast AI? 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. Review collected by and hosted on G2.com. What do you dislike about Cast AI? 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. Review collected by and hosted on G2.com. What problems is Cast AI 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. Review collected by and hosted on G2.com. Show More Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise.G2 IconCurrent UserValidated ReviewerIncentivizedSource: G2 invite ![Muhammed A.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Muhammed A.") MA Muhammed A. Technical Project Manager Information Technology and Services Mid-Market (51-1000 emp.) 8/6/2026 "Cast AI Simplifies Kubernetes Cost Optimization with Clear Insights and Smooth Integration" 4/5 What do you like best about Cast AI? 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. Review collected by and hosted on G2.com. What do you dislike about Cast AI? 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 Review collected by and hosted on G2.com. What problems is Cast AI 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 Review collected by and hosted on G2.com. Show More Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise.G2 IconCurrent UserValidated ReviewerIncentivizedSource: G2 invite ![Jeni J.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Jeni J.") JJ Jeni J. Software Dev , Ai Agents Builder Information Technology and Services Mid-Market (51-1000 emp.) 7/29/2026 "A Powerful Platform for Reducing Kubernetes Cloud Costs" 4/5 What do you like best about Cast AI? I use CAST AI to optimize Kubernetes clusters by automatically reducing cloud costs, right-sizing workloads, and improving application performance. It's especially valuable for production workloads where balancing performance, reliability, and infrastructure costs is important. What I like most about CAST AI is how much of the Kubernetes optimization process it automates. The platform continuously analyzes workloads and makes intelligent scaling and right-sizing decisions. I also appreciate the clear cost visibility, support for Spot instances, and actionable recommendations that help reduce cloud spending without compromising application reliability or performance. Additionally, it was very easy to set up. Review collected by and hosted on G2.com. What do you dislike about Cast AI? Overall, CAST AI has been very effective, but there are a few areas that could be improved. The platform has a lot of powerful features, so the initial learning curve can be a bit steep for teams that are new to Kubernetes optimization. I'd also like to see more guided onboarding, additional best-practice templates for common cluster configurations, and more detailed cost forecasting before optimization changes are applied. Expanding the reporting dashboard with deeper historical trends, workload-level insights, and clearer explanations for automated recommendations would also make it easier to understand and trust optimization decisions. Review collected by and hosted on G2.com. What problems is Cast AI solving and how is that benefiting you? I use CAST AI to optimize Kubernetes clusters, reducing cloud costs and improving performance. It automates resource management, scaling, and optimizes node sizing, saving me time on infrastructure tasks and letting me focus on building and deploying applications. Review collected by and hosted on G2.com. Show More Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise.G2 Icon 7/31/2026 Current UserValidated ReviewerIncentivizedSource: G2 invite ![Arjun D.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Arjun D.") AD Arjun D. QA Engineer Mid-Market (51-1000 emp.) 7/29/2026 "Set-and-Forget Kubernetes Autoscaling With Major Cloud Cost Savings" 4/5 What do you like best about Cast AI? What I love most about Cast AI is the automated, real-time right-sizing. Before using it, our engineering team spent countless hours manually looking at Grafana dashboards, trying to guess which AWS EC2 instances to use, and wrestling with Kubernetes cluster sizing. Cast AI completely takes that off our plate. It analyzes our actual resource demand in real time and automatically swaps out inefficient nodes for optimized, cost-effective instances without any downtime. The fact that it manages Spot Instances so smoothly—automatically moving workloads to On-Demand nodes if a Spot instance gets interrupted—has given us massive savings on our cloud bill without sacrificing application stability. It’s truly a "set-it-and-forget-it" optimization tool. Review collected by and hosted on G2.com. What do you dislike about Cast AI? What I love most is how it optimizes Kubernetes on autopilot. It watches our traffic in real time and automatically swaps out nodes for cheaper, perfectly sized ones without any downtime. It even manages Spot instances seamlessly, slashing our cloud bill without the stress of crashes. The biggest downside is the pricing—they charge based on your total cluster size, not just the money they save you, so the bill gets expensive fast as you scale. Plus, the automation can be a bit of a black box during sudden traffic spikes, and fixing it means digging through some really messy documentation. Review collected by and hosted on G2.com. What problems is Cast AI solving and how is that benefiting you? The biggest problem Cast AI solves is cloud waste from over-provisioning. Our team used to buy way more AWS compute than we needed just to avoid crashes, but Cast AI automatically scales our nodes up and down to match actual demand in real time. It also takes the risk out of using cheap Spot instances. It predicts when AWS is about to reclaim an instance and moves our workloads to a fresh node before anything drops. For me, that means instantly slashing our cloud bill by thousands of dollars without the stress of managing infrastructure or dealing with late-night alerts. Review collected by and hosted on G2.com. Show More Current UserValidated ReviewerIncentivizedSource: G2 invite ![Verified User in Oil & Energy](/assets/icons/anonymous-avatar-purple-4ae1032bdb50ee5682003170c8184aee790d25958bd397abbd384ba52c596a7b.svg "Verified User in Oil & Energy") AO Verified User in Oil & Energy Mid-Market (51-1000 emp.) 8/5/2026 "Automated Kubernetes Cost Optimization With Clear, Intuitive Visibility" 4/5 What do you like best about Cast AI? 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. Review collected by and hosted on G2.com. What do you dislike about Cast AI? 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. Review collected by and hosted on G2.com. What problems is Cast AI 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. Review collected by and hosted on G2.com. Show More Our network of Icons are G2 members who are recognized for their outstanding contributions and commitment to helping others through their expertise.G2 IconCurrent UserValidated ReviewerIncentivizedSource: G2 invite ![Varun K.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Varun K.") VK Varun K. Webmethods Administrator / SRE Enterprise (\> 1000 emp.) 8/4/2026 "Cast AI Delivers Hands-Off AWS Cost Optimization with Smart Kubernetes Autoscaling" 4.5/5 What do you like best about Cast AI? What stands out most about Cast AI is its ability to automatically optimize our AWS infrastructure costs without requiring constant manual intervention. The Kubernetes autoscaling works intelligently rightsizing nodes and pods based on actual workload demand rather than static configurations. This has directly translated into significant cloud cost savings for our team while maintaining application performance and availability. The visibility it provides into resource utilization across our AWS environment makes it easy to identify waste and act on it quickly. For any team managing cloud infrastructure at scale, Cast AI delivers Review collected by and hosted on G2.com. What do you dislike about Cast AI? The initial configuration and onboarding process can be complex, especially for teams that are new to Kubernetes cost optimization. Fine-tuning the automation policies to match our specific workload patterns required considerable trial and error before we saw optimal results. Additionally, the pricing model can become costly as cluster size grows, making it harder to justify for smaller workloads. Better guided onboarding documentation and more granular policy controls would significantly improve the overall experience for new users. Review collected by and hosted on G2.com. What problems is Cast AI solving and how is that benefiting you? Cast AI directly addresses the challenge of uncontrolled cloud spending on AWS, which is a common pain point for teams running Kubernetes workloads at scale. Managing node sizes, pod resources, and cluster capacity manually is time-consuming and error-prone — Cast AI automates all of this continuously in the background. The immediate benefit for our team has been measurable AWS cost reduction without sacrificing application performance or reliability. Beyond cost, it sol Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: G2 invite ![Jisca N.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Jisca N.") JN Jisca N. IT and Language Specialist Small-Business (50 or fewer emp.) 8/4/2026 "Powerful Kubernetes Cost Automation, with a Learning Curve" 3.5/5 What do you like best about Cast AI? What I like best about Cast AI is its ability to automate Kubernetes cost optimization without requiring constant manual intervention. It continuously analyzes workloads and automatically adjusts cloud resources to ensure applications have the capacity they need while minimizing unnecessary spending. This helps engineering teams reduce cloud costs, improve resource utilization, and spend less time on infrastructure management. I also appreciate its real-time monitoring, intelligent autoscaling, and clear visibility into cloud usage, which make it easier to optimize performance while maintaining reliability. Review collected by and hosted on G2.com. What do you dislike about Cast AI? One downside of Cast AI is that it has a learning curve, especially for teams that are new to Kubernetes or cloud cost optimization. Because it automates infrastructure decisions, it can take time to fully understand and trust its recommendations. Some advanced features may also require careful configuration to align with an organization's specific policies and workloads. Additionally, while the platform provides valuable automation and insights, organizations may still need experienced engineers to oversee optimization strategies and handle complex or highly customized environments. Review collected by and hosted on G2.com. What problems is Cast AI solving and how is that benefiting you? Cast AI helps solve the challenge of managing cloud infrastructure efficiently while controlling costs. It automates Kubernetes resource optimization, reducing overprovisioning and eliminating wasted cloud spending without compromising application performance. This allows our team to spend less time manually monitoring and adjusting infrastructure and more time focusing on delivering products and supporting customers. The result is lower operational costs, improved resource utilization, greater infrastructure reliability, and increased productivity across engineering and operations teams. Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: G2 invite ![Dhruv V.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Dhruv V.") DV Dhruv V. DevOps Engineer Mid-Market (51-1000 emp.) 7/8/2026 "Revolutionized Our Kubernetes Optimization" 5/5 What do you like best about Cast AI? I like CAST AI for its automated optimization, which has made a significant impact on managing multiple client clusters efficiently. Its ability to analyze resource usage and optimize node provisioning helps minimize infrastructure costs and reduces cloud waste. The automation feature enables rightsizing of workloads, maintaining efficiency at scale, and identifying underutilized compute resources. The initial setup process was smooth, making the transition from manual Kubernetes optimization seamless. Review collected by and hosted on G2.com. What do you dislike about Cast AI? I think more granular client level reporting, better forecasting capabilities, and enhanced workload recommendations can be improved in the platform. Also, the initial setup process was smooth, but if you are running with multi-client with multi-environment, it will be a learning curve for new users. Review collected by and hosted on G2.com. What problems is Cast AI solving and how is that benefiting you? I use CAST AI to optimize Kubernetes workloads, minimize infrastructure cost, and reduce cloud waste. It rightsizes workloads, automates node optimization, and saves effort in managing multiple client clusters, improving efficiency at scale. Review collected by and hosted on G2.com. Show More Validated ReviewerIncentivizedSource: G2 invite RK Rahul Abishek K. Senior DevOps Engineer Mid-Market (51-1000 emp.) 3/10/2026 "Solid tool for cutting cloud costs and reducing infra toil" 4.5/5 What do you like best about Cast AI? The automation is genuinely impressive - once Cast AI is connected to our clusters, it handles the scaling decisions that used to eat up hours of our engineers' time each week. The cost savings kicked in pretty quickly after setup, and the visibility into where our cloud spend is going has been really useful. We had a multi-cluster setup and Cast AI handled it better than I expected. The recommendations are solid and the UI makes it easy to see what's happening without digging through logs. Review collected by and hosted on G2.com. What do you dislike about Cast AI? The initial setup and onboarding documentation could be a bit clearer - there were a few gotchas around IAM permissions that took us longer to figure out than it should have. The alerting options feel a bit limited compared to what we're used to with other tools. Nothing that's been a dealbreaker, but there's room to improve on those fronts. Review collected by and hosted on G2.com. What problems is Cast AI solving and how is that benefiting you? We were over-provisioning across our Kubernetes clusters and had no real visibility into where the waste was coming from. Cast AI helped us right-size workloads automatically and brought down our cloud bill noticeably within the first month. The auto-scaling also means our team isn't getting paged for manual interventions nearly as often, which has been a big quality-of-life improvement for the on-call engineers. Review collected by and hosted on G2.com. Show More 3/11/2026 Current UserValidated ReviewerSource: Seller invite AB Ajay B. DevOps Engineer Enterprise (\> 1000 emp.) 3/10/2026 "Lock and Bolt Infrastructure: Fire-and-Forget Cloud Savings for K8s" 4.5/5 What do you like best about Cast AI? 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. Review collected by and hosted on G2.com. What do you dislike about Cast AI? 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. Review collected by and hosted on G2.com. What problems is Cast AI 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. Review collected by and hosted on G2.com. 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