--- 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: '2026-07-19' 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. Simple, Team-Friendly UI for Easy Right-Sizing **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Banking | Enterprise (> 1000 emp.) **Reviewed Date:** February 10, 2026 **What do you like best about Cast AI?** Cast AI has a simple UI that makes it easy for everyone on your team to understand what’s overprovisioned, along with suggested steps to take to right-size the resources. That simplicity is what I like best. **What do you dislike about Cast AI?** The Cast AI interface sometimes suggests optimisations that, if applied blindly, may not actually be optimal. I’ve noticed this particularly with resources that are only up for short durations (1–2 minutes) per run, but run frequently (multiple times a day), such as background jobs running on spot instances. **What problems is Cast AI solving and how is that benefiting you?** Cast AI is tackling one of the biggest challenges with cloud environments: cost optimisation. Over the past few months, we’ve saved more than 30% of our overall cloud costs by carefully validating Cast AI’s recommendations and then putting them into practice. ### 2. Stellar Customer-Centric Platform for K8s on AWS **Rating:** 5.0/5.0 stars **Reviewed by:** Hariharan G. | Principal data engineer **Reviewed Date:** February 12, 2026 **What do you like best about Cast AI?** CAST AI abstracts the nuisance of provisioning and scaling nodes and its UI provides a holistic view of the cluster status with usage metrics. I really appreciate the cluster rebalancer that optimizes workloads. The node template and node configuration offer superb flexibility for segregating workloads. What I love most is CAST AI's obsession with customer feedback. They connected with us to understand our requirement for using fractional GPU on templates and surprisingly delivered this feature in just two weeks. **What do you dislike about Cast AI?** I dont have any **What problems is Cast AI solving and how is that benefiting you?** I use CAST AI to manage k8s workloads on AWS EKS. It abstracts node provisioning and scaling, offers a holistic cluster view, and optimizes workloads with cluster rebalancer. It provides superb flexibility with node templates and configurations. ### 3. Effortlessly Cut Cloud Costs with CAST AI **Rating:** 5.0/5.0 stars **Reviewed by:** Pradeep G. | DevOps Engineer 2, Mid-Market (51-1000 emp.) **Reviewed Date:** May 26, 2026 **What do you like best about Cast AI?** I really like the user experience in CAST AI, especially the easy-to-use console. It allows us to manage clusters easily, see which policies are attached to which workload, and enable or disable workloads. This usability is one of the best parts for me. **What do you dislike about Cast AI?** No such things **What problems is Cast AI solving and how is that benefiting you?** I find CAST AI optimizes our infrastructure, reducing our monthly cloud costs from $32,000 to $20,000 while considering security with GPU metrics. ### 4. Hands-Free Automation Cuts Costs Dramatically **Rating:** 4.5/5.0 stars **Reviewed by:** Dinesh P. **Reviewed Date:** February 12, 2026 **What do you like best about Cast AI?** I like the hands-free automation that actually executes changes rather than just giving advice. It eliminates manual toil by automating cost-saving infrastructure changes instantly. Before using CAST AI, our Kubernetes spend was a black box, and after connecting it, we discovered we were over-provisioned by 40%. The automated rebalancing cut our monthly bill by half within the first week. **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 onboarding, and more granular policy documentation. **What problems is Cast AI solving and how is that benefiting you?** CAST AI transformed our opaque K8s spending, revealing a 40% over-provision. Its automation executed cost-saving changes, halving our bill in the first week and eliminating manual toil. ### 5. Excellent Resource Allocation, High Cost Barrier **Rating:** 4.0/5.0 stars **Reviewed by:** Stanley N. **Reviewed Date:** February 11, 2026 **What do you like best about Cast AI?** I love CAST AI's ability to let me right-size the instance type based on its findings and recommendations. It helps us identify where we over-provision our EC2 fleet and adjust it optimally to reduce AWS spending. The initial setup was pretty easy. **What do you dislike about Cast AI?** We're running into infrastructure drift that we have to manage outside of CAST AI. Infrastructure drift is a huge issue for us since what we see in our source controls (GitHub) is different from what actually is running in AWS/EKS. Also, from a budget perspective, CAST AI is cost prohibitive. **What problems is Cast AI solving and how is that benefiting you?** Using CAST AI, I right-size workloads and dynamically scale with recommendations, helping identify over-provisioning in our EC2 fleet, which optimizes and reduces AWS spending. ### 6. Efficient Autoscaling with Room for Improvement **Rating:** 4.0/5.0 stars **Reviewed by:** Shara S. **Reviewed Date:** February 11, 2026 **What do you like best about Cast AI?** I really like the node templates concept and bin packing feature of CAST AI. The rebalancing feature is also impressive. With node templates, I find it much more flexible compared to managing nodes via GCP nodepools, where we could only choose one machine type. The bin packing and rebalancing features help save us money. The initial setup of CAST AI was easy and straightforward. **What do you dislike about Cast AI?** I think the Terraform modules need improvement. We have reported a bug. Bin packing and evictor need some improvement. **What problems is Cast AI solving and how is that benefiting you?** I use CAST AI for cluster and workload autoscaling in production, mainly for cost-saving. It solves bin packing and allows flexibility with node templates and rebalancing features, which save us money. ### 7. Cost-Effective Cluster Management with Predictive Insights **Rating:** 4.5/5.0 stars **Reviewed by:** Adithya R. **Reviewed Date:** February 12, 2026 **What do you like best about Cast AI?** I mainly use CAST AI to reduce overall cluster costs and easily manage the cluster. It helps avoid interruptions by predicting spot interruptions, which is crucial for putting workloads in spot without causing disruptions. I also appreciate its wide range of features, which stood out to me as a significant advantage when switching from Karpenter. The CAST AI team made our initial onboarding smooth, which I found very helpful. **What do you dislike about Cast AI?** I think the UI and error messages can be improved. The UI could be made better to enhance accessibility. **What problems is Cast AI solving and how is that benefiting you?** I use CAST AI to reduce cluster costs and manage clusters easily. It helps by predicting and avoiding spot interruptions, making cost-saving measures more reliable. ### 8. Superb Support and a Great New Cluster Optimization Feature **Rating:** 4.5/5.0 stars **Reviewed by:** Nikunj V. | site reliability engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** February 11, 2026 **What do you like best about Cast AI?** Their support is superb, with a monthly call that helps keep things on track. I also appreciate the new feature for managing and optimizing workload. **What do you dislike about Cast AI?** So far, everything has looked good overall. However, the Workload Optimisation could be improved, as we’ve been having some difficulties with it. **What problems is Cast AI solving and how is that benefiting you?** The workload autoscaler is something we don’t have to manage ourselves, which has been a big help. It also delivers cost savings by optimizing our Kubernetes nodes. ### 9. Cast AI has been a great addition to our environment **Rating:** 5.0/5.0 stars **Reviewed by:** Dmitrij P. | DevOps Team Lead, Mid-Market (51-1000 emp.) **Reviewed Date:** February 12, 2026 **What do you like best about Cast AI?** Easy installation and setup process, which made onboarding really smooth. The UI is very solid and intuitive, and it gives a clear view of costs and workload distribution. The built-in features are genuinely helpful and save a lot of manual effort. **What do you dislike about Cast AI?** It would be great to have options for defining specific memory thresholds and more configurable HPA triggers to better match different workload requirements. **What problems is Cast AI solving and how is that benefiting you?** The combination of auto provisioning, rebalancing, and both vertical and horizontal scaling makes a big difference. It helps maintain performance and stability without extra effort from our side. For me, it means saving time, avoiding resource waste, and focusing more on strategic tasks instead of ongoing tuning. ### 10. Effortless Cost Optimization with CAST AI **Rating:** 4.5/5.0 stars **Reviewed by:** Sharath S. | Solutions Architect, Mid-Market (51-1000 emp.) **Reviewed Date:** February 20, 2026 **What do you like best about Cast AI?** I like using CAST AI for optimizing our Kubernetes clusters, particularly the right sizing of nodes by using spot instances and rebalancing nodes to fit our workloads. I appreciate the flexibility of automating the rebalance or hibernate processes. The service provides valuable recommendations on cost reduction, which is a big plus. The support from the CAST AI team during setup was also great, making the process comfortable. **What do you dislike about Cast AI?** Nothing for now **What problems is Cast AI solving and how is that benefiting you?** I use CAST AI to optimize our Kubernetes clusters, reducing costs by optimizing nodes, and providing recommendations. It right-sizes nodes with spot instances and rebalances them for workload accommodation. The automation of rebalancing and hibernation adds flexibility. ### 11. Effortless Scaling with Impressive Cost Savings **Rating:** 4.5/5.0 stars **Reviewed by:** Karthik B. **Reviewed Date:** February 10, 2026 **What do you like best about Cast AI?** I like that CAST AI helps us to save costs with minimal effort and provides great bin packing of nodes. The one-click deployment was very smooth, making it easy to get started. I also appreciate the one script installation and the great support if there is any issue. **What do you dislike about Cast AI?** We miss their new feature updates sometimes, and an in-person update via Slack would help. We do have a general channel for communication, but specifically tagging the POC and notifying would help, and a demo session would be beneficial. **What problems is Cast AI solving and how is that benefiting you?** I use CAST AI for automating infrastructure scaling and workload management. It helps solve node bin packing, workload autoscaling, and cost-saving with minimal effort. ### 12. Reliable Cluster Management with Spot Fallback **Rating:** 4.5/5.0 stars **Reviewed by:** praneeth G. **Reviewed Date:** February 12, 2026 **What do you like best about Cast AI?** I use CAST AI for rebalancing the clusters, and it has been really helpful for our team in managing nodes. I personally love the spot fallback feature, where if the spot instance is not available, it will switch to the on-demand instance. This prevents downtime in lower environments. Also, the initial setup was pretty easy, which I appreciated. **What do you dislike about Cast AI?** Sometimes I feel leaning towards the open-source tools like Karpenter, but I feel CAST AI has its advantages. **What problems is Cast AI solving and how is that benefiting you?** I use CAST AI for rebalancing clusters and managing nodes. The spot fallback feature is great, switching to on-demand instances when spot instances aren't available. It helps avoid downtime during rebalancing of lower environments. ### 13. Effortless Scaling with CAST AI **Rating:** 4.5/5.0 stars **Reviewed by:** allwin w. | Mid-Market (51-1000 emp.) **Reviewed Date:** March 02, 2026 **What do you like best about Cast AI?** I find CAST AI really beneficial for scaling. The workload autoscaler stands out for me because it efficiently manages the scaling process. I also appreciate the k8s management features. Another aspect that I value is the ability to run spot and fallback on demand. The single command installation made the initial setup straightforward and hassle-free. **What do you dislike about Cast AI?** no **What problems is Cast AI solving and how is that benefiting you?** I use CAST AI for scaling Kubernetes and running spot and fallback on demand with ease. The workload autoscaler and Kubernetes management make my operations smooth, especially with such a straightforward setup as a single command installation. ### 14. Great cost optimisation with helpful query time suggestions **Rating:** 4.0/5.0 stars **Reviewed by:** Rohit R. | Sr Backend Developer, Health, Wellness and Fitness, Small-Business (50 or fewer emp.) **Reviewed Date:** February 11, 2026 **What do you like best about Cast AI?** Automated cost optimization and seamless Kubernetes integration that helps reduce cloud spend with minimal manual effort. **What do you dislike about Cast AI?** nitial setup and fine-tuning can be a bit complex, and deeper visibility into optimization decisions would make it even better. **What problems is Cast AI solving and how is that benefiting you?** Cast AI helps optimize Kubernetes infrastructure costs by automatically right-sizing nodes and scaling workloads efficiently. This reduces cloud spend, improves resource utilization, and saves our team time on manual monitoring and optimization. ### 15. Intuitive and Economical Management of Kubernetes **Rating:** 5.0/5.0 stars **Reviewed by:** Carlos A. **Reviewed Date:** November 10, 2025 **What do you like best about Cast AI?** I love how CAST AI is quite intuitive, making the management of my company's Kubernetes easier and straightforward. The simplicity in the initial setup really impressed me, as it was very simple and facilitated a quick start. The cost reduction functionality through spot instances and the ability to quickly and easily hibernate non-productive clusters are features I consider extremely valuable. This not only optimizes my financial resources but also improves operational efficiency. Furthermore, the 10 out of 10 recommendation I would give to CAST AI reflects my complete satisfaction and confidence in the platform. **What do you dislike about Cast AI?** Some type of self-healing before swapping instances could be improved. I would like there to be a check before shutting down a node to ensure that the applications on the target node are initialized correctly to avoid downtime. **What problems is Cast AI solving and how is that benefiting you?** I use CAST AI to manage Kubernetes, reducing costs with spot instances and hibernating non-productive clusters, which optimizes resources. It is intuitive, with quick cluster hibernation, making management easy without complications. ### 16. Efficient Cost Optimization with CAST AI **Rating:** 4.0/5.0 stars **Reviewed by:** Nikunj B. **Reviewed Date:** February 10, 2026 **What do you like best about Cast AI?** I like how CAST AI is great for our Kubernetes cluster cost optimization and helps maximize CPU and memory resource usage. I appreciate its in-place pod right sizing and container live migration capabilities. With in-place right sizing, our 5xx errors have significantly decreased. The container live migration feature is beneficial for consolidating our stateful workloads. Setting up CAST AI was a straightforward process. **What do you dislike about Cast AI?** NA **What problems is Cast AI solving and how is that benefiting you?** I use CAST AI for Kubernetes cluster cost optimization and to maximize CPU and memory usage. It offers node consolidation and improves pod right sizing, which has significantly reduced our 5xx errors. Container live migration helps with stateful workload consolidation. ### 17. Simplified Cost Control with CAST AI **Rating:** 4.5/5.0 stars **Reviewed by:** Raphael Z. **Reviewed Date:** February 10, 2026 **What do you like best about Cast AI?** I like the ease and powerful features of CAST AI. Today, we are able to have cost visibility of services and applications within our Kubernetes, which provides us with a very advanced FinOps view. The initial setup was very easy and we also had full support from our CAST AI partners here in Brazil. **What do you dislike about Cast AI?** We are having some issues with resources from our observability tool, Datadog. **What problems is Cast AI solving and how is that benefiting you?** We use CAST AI to control and optimize costs in Kubernetes, improving our control over cloud infrastructure costs and manual operations. It gives us cost visibility for an advanced view of FinOps. ### 18. Great UI, But Needs More to Earn a Strong Recommendation **Rating:** 2.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** March 10, 2026 **What do you like best about Cast AI?** The UI and dashboards are great to go through. It’s also really helpful to add cast.ai to a cluster so you can see the potential savings before implementing it. **What do you dislike about Cast AI?** Upgrading to newer versions of Kubernetes is difficult, and the Terraform modules feel lacking in support and features. **What problems is Cast AI solving and how is that benefiting you?** The main reason I started using cast.ai was for cost savings. The UI highlights a lot of potential savings, but in actual use I’ve seen resources scale up, and the savings end up being a lot less than what the UI suggests. ### 19. Efficient Cost Optimizer with Smart Scaling **Rating:** 4.5/5.0 stars **Reviewed by:** Tejaswini R. **Reviewed Date:** February 18, 2026 **What do you like best about Cast AI?** I like CAST AI because there's almost no manual effort involved, and it offers intelligent scaling. The automation is reliable and handles workloads without breaking, which I find really valuable. It effectively right-sizes and scales when needed, optimizing costs and node management. **What do you dislike about Cast AI?** The UI navigation makes the experience slow. I think simplifying the sidebar and improving visibility would be helpful. **What problems is Cast AI solving and how is that benefiting you?** I use CAST AI to cut Kubernetes costs and automate node scaling. It optimizes costs, solves scaling, and node management issues. It requires almost no manual effort with intelligent scaling and reliable automation that right-sizes and scales when needed. ### 20. Powerful Tool for K8s Management and Cloud Efficiency **Rating:** 5.0/5.0 stars **Reviewed by:** sandeep r. | Senior System Administrator **Reviewed Date:** February 14, 2026 **What do you like best about Cast AI?** I like how CAST AI has improved my resource efficiency and addressed complexities in Kubernetes. Its features in automation, optimization, and security are very helpful. The unified management, righting, auto-scaling, and compliance make it a powerful tool. It’s clear and more professional, and overall, it’s helping a lot. **What do you dislike about Cast AI?** CAST AI is a powerful tool, but some areas for improvement include customization options, integration with existing tools, and providing more granular reports. **What problems is Cast AI solving and how is that benefiting you?** CAST AI improves resource efficiency, tackles Kubernetes complexity, security risks, and cloud cost inefficiency. It offers automation, optimization, unified management, auto-scaling, and enhances security and compliance. ### 21. Automates Scaling with Ease, High on Cost-Effectiveness **Rating:** 4.0/5.0 stars **Reviewed by:** Sanjay K. | Freelance Web Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** November 20, 2025 **What do you like best about Cast AI?** I use CAST AI to automate cluster scaling and reduce manual work in maintaining our Kubernetes infrastructure. I appreciate how it helps reduce cloud costs by taking care of scaling automatically. I like how well CAST AI handles spot instances and cluster autoscaling. It manages spot instances flawlessly, ensuring I don’t have to worry about interruptions. What used to be a manual, tedious process is now sorted automatically. I particularly enjoy that CAST AI can automatically manage spot instances and fall back to on-demand without causing downtime. Additionally, the setup process was straightforward, allowing us to get up and running with minimal effort. **What do you dislike about Cast AI?** Sometimes, the pricing feels a bit high for small clusters. **What problems is Cast AI solving and how is that benefiting you?** I use CAST AI to automate cluster scaling, reduce manual maintenance for Kubernetes infrastructure, and minimize cloud costs by handling spot instances without interruptions. ### 22. Efficient Kubernetes Management with Intuitive Setup **Rating:** 4.0/5.0 stars **Reviewed by:** Ekram S. **Reviewed Date:** February 11, 2026 **What do you like best about Cast AI?** I like the fact that I can set up custom nodes and that it is easy to override when needed. And its user interface is friendly. CAST AI makes managing Kubernetes clusters, which can be a bit daunting, much easier. **What do you dislike about Cast AI?** An area that CAST AI can improve is its accuracy when it comes to predictive workloads. Sometimes it doesn't anticipate sudden nonlinear traffic spikes. Also, improving overall visibility for more complex or hybrid architectures would be interesting. Maybe some agentic capabilities in the future. **What problems is Cast AI solving and how is that benefiting you?** CAST AI solves scaling, hibernation, provisioning, and keeps our cost optimum. ### 23. Turnkey FinOps Automation with Highly Responsive Support **Rating:** 4.5/5.0 stars **Reviewed by:** Nils K. | Platform Manager, Enterprise (> 1000 emp.) **Reviewed Date:** February 14, 2026 **What do you like best about Cast AI?** Turnkey finops automation. Very skilled and highly responsive support team. **What do you dislike about Cast AI?** Limited fine grained auth model in the administrative UI **What problems is Cast AI solving and how is that benefiting you?** CastAI helps fighting over provisioning of cloud infrastructure, often caused by lack of awareness or knowledge in development teams. With CastAI automation we do not need to train all these teams but can optimize automatically. ### 24. Effortless Cost Monitoring with CAST AI **Rating:** 3.5/5.0 stars **Reviewed by:** Teja P. **Reviewed Date:** February 11, 2026 **What do you like best about Cast AI?** I like that the setup process with CAST AI is pretty easy, especially when it comes to deploying infrastructure as code using Terraform. It's simple to deploy the CAST AI agent on our existing clusters, and once that's done, it takes over managing the EKS cluster from there. **What do you dislike about Cast AI?** One thing I could think of is how CAST AI handles drift, like infrastructure as code drifts. More documentation on that aspect would be nice. **What problems is Cast AI solving and how is that benefiting you?** I use CAST AI for cost monitoring on EKS, automatic optimizations, and accurate cost allocation across teams. ### 25. Cost-Effective Cloud Management w **Rating:** 4.5/5.0 stars **Reviewed by:** Sambhav J. **Reviewed Date:** February 11, 2026 **What do you like best about Cast AI?** I appreciate CAST AI's cost-effectiveness; it slashed my AWS bill nearly to approximately 40-45%. Their service provides cloud storage billing at a comparatively low cost. The autonomous scaling and bill packing features are also beneficial, and the initial setup was nice. **What do you dislike about Cast AI?** I find the autonomous feature, like moving pods or shutting down extra servers, could be more effective, although it's accurate for me at the moment. **What problems is Cast AI solving and how is that benefiting you?** I use CAST AI for autonomous scaling and bill packing, which reduces cloud storage costs significantly, slashing my AWS bill by about 40-45%. ### 26. Intuitive, Accurate Cost Management with CAST AI **Rating:** 4.5/5.0 stars **Reviewed by:** Hem C. | Director of Engineering **Reviewed Date:** February 11, 2026 **What do you like best about Cast AI?** I like CAST AI for its easy-to-navigate UI/UX and the data granularity, which helps in specifically tracking instance types. It gives me near-accurate costing and provides forecasted costs, which really helps with managing cloud accounts and their costs. The initial setup was straightforward, and we adopted CAST AI because of the UI-UX. **What do you dislike about Cast AI?** none as of now **What problems is Cast AI solving and how is that benefiting you?** I use CAST AI to manage cloud accounts and their cost. It gives me near-accurate costing and forecasts. The easy UI/UX helps navigate accounts, and data granularity aids in specific instance type tracking. ### 27. Effortless Kubernetes Cost Optimization **Rating:** 4.0/5.0 stars **Reviewed by:** J L. **Reviewed Date:** February 17, 2026 **What do you like best about Cast AI?** I like the hands-off nature of CAST AI and the ability it gives developers to focus on more important work instead of tuning workload settings. It's also fairly simple to deploy. **What do you dislike about Cast AI?** Some odd workloads with unusual resource consumption patterns require manual tuning, i.e. burst on startup, etc. **What problems is Cast AI solving and how is that benefiting you?** I use CAST AI for cost optimization and to relieve the pain of manually configuring infrastructure scaling and application requests. I love its hands-off nature, allowing developers to focus on more important work instead of tuning workload settings. ### 28. Cost Optimization **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Sports | Mid-Market (51-1000 emp.) **Reviewed Date:** February 16, 2026 **What do you like best about Cast AI?** Cast AI gives us the ability to take the back seat in cost optimization and allow the pod rebalancer to adjust nodes and node types to optimize our workloads for performance and cost. **What do you dislike about Cast AI?** At times it can be hard to understand different changes that it makes and troubleshoot issues surrounding node rebalances. **What problems is Cast AI solving and how is that benefiting you?** Cost engineering. Before CastAI our workloads were around 80% over provisioned. With CastAI, we were able to get that number to a much lower amount. It essentially unlocks free money in our budget. ### 29. cast.ai Cut Our Compute Costs and Simplified Spot Instance Management **Rating:** 5.0/5.0 stars **Reviewed by:** Arman T. | Principal Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** February 10, 2026 **What do you like best about Cast AI?** Cast AI removed the burden of managing spot instances and decreased the compute costs. **What do you dislike about Cast AI?** Cast AI automated onboarding of a new environment might require extra steps. **What problems is Cast AI solving and how is that benefiting you?** Cast AI drastically decreased computing costs, removed the burden of managing worker nodes, which allowed us to spend more time on developing features. ### 30. Saves Time Managing Kubernetes Resources and Cuts Costs **Rating:** 4.5/5.0 stars **Reviewed by:** nicolas g. | Platform ingeneer, Enterprise (> 1000 emp.) **Reviewed Date:** February 11, 2026 **What do you like best about Cast AI?** Gain some time to maintain the kubernetes cluster. We all don't have time to adjust the resource correctly. Cast do that and help us to understand more what each resource need really. It's help us with cost saving too, but human time is really more interesting **What do you dislike about Cast AI?** The product is still "new", sometime, we have some simple problem that they didn't have it before, but they are in generaly reactive about it . **What problems is Cast AI solving and how is that benefiting you?** Resource management in kubernetes cluster. It help me to paid less with better efficiency. ### 31. Cost-Effective Scaling with Optimized Performance **Rating:** 4.0/5.0 stars **Reviewed by:** Jayapradeep R. **Reviewed Date:** February 19, 2026 **What do you like best 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 packing to reduce costs and the capability to manage spot instance interruptions effectively. The initial setup is also straightforward, just requiring a command from the CLI. **What do you dislike about Cast AI?** I think the pricing of CAST AI could be improved. **What problems is Cast AI solving and how is that benefiting you?** CAST AI does great bin packing to reduce costs and handles spot instance interruptions. I primarily use it for scaling and spot instances. ### 32. Easy, Effective Cloud Cost Optimization **Rating:** 4.5/5.0 stars **Reviewed by:** Sowmya B. | System Administrator, Mid-Market (51-1000 emp.) **Reviewed Date:** June 04, 2026 **What do you like best about Cast AI?** Great tool for cloud cost optimization. Easy to use and very effective. **What do you dislike about Cast AI?** Nothing major to dislike. Minor UI improvements could help. **What problems is Cast AI solving and how is that benefiting you?** Helps reduce cloud infrastructure costs significantly with automated optimization. ### 33. CAST AI That Automatically Finds the Cheapest Server Every Minute **Rating:** 4.0/5.0 stars **Reviewed by:** Meraj A. | Senior Enginer DevOps, Mid-Market (51-1000 emp.) **Reviewed Date:** February 23, 2026 **What do you like best about Cast AI?** The cast AI picks the cheapest server and it is saving alot than manual **What do you dislike about Cast AI?** Cast AI is autonomous, it makes decisions **What problems is Cast AI solving and how is that benefiting you?** Before Cast AI, my day was basically a never-ending game of 'Guess the Server.' I had to decide if our app needed an m5.large or an m5a.large. I'd set high 'safety margins' just so I didn't get paged at 3:00 AM for a crash, but that meant we were paying for 20% more cloud than we actually used ### 34. Cast AI’s Decision Engine & Automation Right-Sizing Are Standout Features **Rating:** 4.5/5.0 stars **Reviewed by:** Dwiki K. | Cloud Architect Specialist, Enterprise (> 1000 emp.) **Reviewed Date:** February 11, 2026 **What do you like best about Cast AI?** Decision Engine & Automation Right-Sizing is the best features by Cast AI **What do you dislike about Cast AI?** Storage optimization, not support Cloud-native container (ECS, etc) **What problems is Cast AI solving and how is that benefiting you?** Over-provisioned Nodes & Pods on current organization. After using Cast AI, it can reduce number of Over-provisioned Nodes & Pods and direct impact to our Cloud Cost. ### 35. Fast Scalability Solutions with Great Value in Every Recommendation **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Consumer Electronics | Mid-Market (51-1000 emp.) **Reviewed Date:** February 10, 2026 **What do you like best about Cast AI?** fast scalability soutions, balancing benefit/price in every recommendation **What do you dislike about Cast AI?** Problems generating cost reports with the platform. I need to develop tools to obtain that information for the bussines **What problems is Cast AI solving and how is that benefiting you?** Before using Cast AI, I was constantly overwhelmed by the manual effort required to manage Kubernetes clusters and the anxiety of rising cloud costs. It solved the 'manual toil' of scaling, and turned my cloud bill from a mystery into a roadmap. In short, Cast AI transitioned me from being an 'infrastructure firefighter' to a strategic developer. ### 36. Automation that reduces costs and simplifies the creation of pods and nodes **Rating:** 5.0/5.0 stars **Reviewed by:** Marcel L. | Cloud Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** February 10, 2026 **What do you like best about Cast AI?** The automation that the system offers to reduce costs in our company, and the way it works in the creation of pods and nodes **What do you dislike about Cast AI?** So far, I haven't seen any usability that I didn't like. **What problems is Cast AI solving and how is that benefiting you?** This is helping our FinOps team reduce costs monthly. ### 37. Senior DevOps Engineer working with Castai on a daily basis **Rating:** 5.0/5.0 stars **Reviewed by:** Aleksy Z. | Mid-Market (51-1000 emp.) **Reviewed Date:** May 31, 2023 **What do you like best about Cast AI?** Cast AI has now turned into a fully robust automation and cost management solution that helps not only with Kubernetes optimization, but also things like AI and GPU management, Application Performance Automation, DB optimizations and many more! **What do you dislike about Cast AI?** Keep on delivering more and more features to make our life's even more easier! **What problems is Cast AI solving and how is that benefiting you?** Scaling and costs ### 38. Notable Simplicity and Integration, Documentation Could Be Improved **Rating:** 4.5/5.0 stars **Reviewed by:** Edoardo M. | Mid-Market (51-1000 emp.) **Reviewed Date:** February 19, 2026 **What do you like best about Cast AI?** I like the simplicity of use of the dedicated CAST AI web portal and the integration with Kubernetes. I find it valuable because it helps me keep my cloud infrastructure costs under control and allows for detailed monitoring. **What do you dislike about Cast AI?** The configuration part could be described better and documented better. **What problems is Cast AI solving and how is that benefiting you?** Using CAST AI, I control the costs of the k8s infrastructure by monitoring the resources actually used and avoiding waste, allowing for more efficient financial management. ### 39. Effortless K8s Scaling with Cost Management **Rating:** 4.0/5.0 stars **Reviewed by:** Visanth S. **Reviewed Date:** February 12, 2026 **What do you like best about Cast AI?** I use CAST AI for k8s scaling and really like its evictor feature. It helps with managing the cost and evicting stateful workloads, which other autoscalers are not doing. I also appreciate the spot instance management. The initial setup of CAST AI was very easy. **What do you dislike about Cast AI?** UI could be better **What problems is Cast AI solving and how is that benefiting you?** I use CAST AI for managing k8s cluster scaling. It helps manage costs and evicts stateful workloads that other autoscalers don't handle. There's nothing I dislike about it. ### 40. Cast AI Optimizes Kubernetes Cloud Workloads Effortlessly **Rating:** 4.5/5.0 stars **Reviewed by:** Doddy K. | Expert Engineer - IT Cloud, Enterprise (> 1000 emp.) **Reviewed Date:** February 10, 2026 **What do you like best about Cast AI?** Cast AI can optimize Cloud workload that using Kubernetes **What do you dislike about Cast AI?** Cast AI Should give us a Slot Speaker in KubeCon Europe especially for Telkomsel as a biggest Telco company in ASIA **What problems is Cast AI solving and how is that benefiting you?** Cast AI try to invite us to KubeCon in Mumbai ### 41. A powerful solution for K8s cost optimization, best suited for cloud-native apps at scale. **Rating:** 5.0/5.0 stars **Reviewed by:** Bilel I. | Platform Architect, Enterprise (> 1000 emp.) **Reviewed Date:** June 30, 2025 **What do you like best about Cast AI?** CAST AI automatically rightsizes workloads, removes underutilized nodes, and selects the most cost-effective instances in real time—saving up to ~ 60% on cloud bills without sacrificing performance. Their autoscaler is fast and responsive, scaling workloads vertically and horizontally with minimal delay, and supports real-time bin-packing. Built-in security scanning and real-time insights about vulnerabilities and misconfigurations across your clusters are helpful for compliance. With policies, teams can enforce governance (e.g., disallowing GPU usage, or restricting instance types), which is useful in large or shared environments. Especially for organizations with dynamic or spiky workloads, CAST AI’s automation leads to substantial cost reductions. • Simplicity and Speed: The UI is clean, onboarding is relatively quick, and node replacements happen in minutes. • Great for SRE/Platform Teams: Offloads the pain of managing autoscaling, provisioning, and node selection. **What do you dislike about Cast AI?** • Learning Curve on Governance: Policy setup and interpretation of some recommendations require a bit of learning, especially for teams new to Kubernetes internals. • Limited Documentation Depth: Some users may find the documentation lacking for advanced use cases, particularly when integrating with non-standard setups (e.g., GKE workload identity federation, custom networking). **What problems is Cast AI solving and how is that benefiting you?** • Significant Cost Savings: Especially for organizations with dynamic or spiky workloads, CAST AI’s automation leads to substantial cost reductions. • Simplicity and Speed: The UI is clean, onboarding is relatively quick, and node replacements happen in minutes. • Great for SRE/Platform Teams: Offloads the pain of managing autoscaling, provisioning, and node selection. ### 42. Reduces Costs and Enhances Node Management **Rating:** 5.0/5.0 stars **Reviewed by:** Sarim A. **Reviewed Date:** February 10, 2026 **What do you like best about Cast AI?** I like CAST AI's team as they were really helpful. When we faced a learning curve during the initial setup, they guided us through automating our many clusters. Also, I think omni works especially well with CAST AI. **What do you dislike about Cast AI?** It had a learning curve but the team helped us through the automation on our many clusters. **What problems is Cast AI solving and how is that benefiting you?** I use CAST AI for scaling Kubernetes and spot nodes, reducing cost and overhead around rules and management of those nodes. ### 43. Real Savings, but Takes Iteration to Balance Cost Cuts and Stability **Rating:** 2.5/5.0 stars **Reviewed by:** Verified User in Marketing and Advertising | Enterprise (> 1000 emp.) **Reviewed Date:** February 10, 2026 **What do you like best about Cast AI?** The biggest upside is the combination of insights and automation. Cast AI makes it straightforward to identify overprovisioned resources and apply savings in a controlled way. The UI is clean, and the recommendations are easy to explain to stakeholders who just want results. **What do you dislike about Cast AI?** Some users mention that cost savings are real, but results can vary depending on workload maturity, so it can take a few iterations to dial in the right balance between savings and stability. **What problems is Cast AI solving and how is that benefiting you?** The benefit for us is lower cloud spend, fewer manual tuning cycles for the platform team, and faster visibility into where cost and capacity are drifting so we can correct it before it becomes a bigger issue. ### 44. Effortless Optimization with CAST AI **Rating:** 4.5/5.0 stars **Reviewed by:** Michał C. **Reviewed Date:** February 11, 2026 **What do you like best about Cast AI?** It's fairly easy to use and manage. Provides good visibility of all the workloads and what it does. Makes it simpler to select proper node sizes and types, as it can be handled automatically. **What do you dislike about Cast AI?** There are still some bugs and quirks. Not all functions work right away but support team is responsive and helpful with solving the issues. **What problems is Cast AI solving and how is that benefiting you?** Automated scaling, working better than the native one, and choosing the most efficient instance types, including spots. ### 45. Single Pane of Glass for All Our K8s Clusters **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Retail | Enterprise (> 1000 emp.) **Reviewed Date:** February 12, 2026 **What do you like best about Cast AI?** It gives me visibility into all the K8s clusters we manage and operate from a single entry point, so there’s no more clicking around between different dashboards. **What do you dislike about Cast AI?** The current pricing model isn’t allowing us to roll out cast across all clusters, including our nonproduction environments. **What problems is Cast AI solving and how is that benefiting you?** It provides cost visibility for both product teams and the infrastructure team into usage of a shared cluster. The technical utilization data also helps show where we can optimize. ### 46. Efficient Scaling with Minor Rebalancing Downtime **Rating:** 4.5/5.0 stars **Reviewed by:** veera K. | Mid-Market (51-1000 emp.) **Reviewed Date:** February 25, 2026 **What do you like best about Cast AI?** I like that CAST AI supports multi-cloud Kubernetes, making it really valuable for my work. The rebalancing feature is also a strong point for me. Additionally, the initial setup was very easy, which was a big plus. **What do you dislike about Cast AI?** I don't like the downtime while rebalancing with CAST AI. **What problems is Cast AI solving and how is that benefiting you?** I use CAST AI for scaling, which helps with node group management and reduces costs. It supports multicloud Kubernetes environments. ### 47. Intelligent cost optimization in Kubernetes **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** February 10, 2026 **What do you like best about Cast AI?** Automate cost optimization in Kubernetes efficiently, reducing waste and operational effort, without compromising high performance and reliability. **What do you dislike about Cast AI?** Some more advanced features still lack clearer and well-organized documentation, which may end up delaying the adoption of the tool and the resolution of problems by new users. **What problems is Cast AI solving and how is that benefiting you?** We had difficulty with high costs in Kubernetes, but now we automatically optimize, reducing waste and cutting infrastructure costs. ### 48. Great UI and Overall Experience **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Small-Business (50 or fewer emp.) **Reviewed Date:** February 11, 2026 **What do you like best about Cast AI?** The UI and experience are too good to use. **What do you dislike about Cast AI?** It is amazing. I feel there is notging to dislike anything **What problems is Cast AI solving and how is that benefiting you?** CAST AI eliminates cloud waste and operational toil by using real-time automation to rightsize Kubernetes workloads and manage Spot instances, cutting cloud bills by up to 60-80%. For users, this means achieving peak application performance without manual scaling or overprovisioning, ultimately freeing DevOps teams to focus on innovation rather than infrastructure maintenance. ### 49. Optimizes ML Workloads with Clear Dashboards **Rating:** 4.0/5.0 stars **Reviewed by:** Sai Bharath G. **Reviewed Date:** February 10, 2026 **What do you like best about Cast AI?** I mainly appreciate CAST AI for its automatic cost and resource optimization. The dashboards are also pretty clear, which is nice. **What do you dislike about Cast AI?** Sometimes we did face issues with optimization and services running out of CPU or RAM but not very frequently. **What problems is Cast AI solving and how is that benefiting you?** I use CAST AI to optimize infrastructure for ML workloads, mainly solving on-demand services issues, suggesting spot usage, optimizing resource costs, and identifying resource wastage. I also appreciate the clear dashboards. ### 50. Streamlined Tech Stack and a More Efficient Workflow **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** February 11, 2026 **What do you like best about Cast AI?** It’s been very helpful for streamlining our tech stack and optimizing our pipeline, making our overall workflow feel much more efficient. **What do you dislike about Cast AI?** The product itself is great. That said, I’d appreciate a few adjustments to the UI, along with some optimization to make the menu navigation smoother and more intuitive. **What problems is Cast AI solving and how is that benefiting you?** As I mentioned before, it has helped us become more optimized and efficient overall, making our workflow smoother and more consistent. ## 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=2§ion=pricing&secure%5Bexpires_at%5D=2026-07-19+23%3A05%3A19+-0500&secure%5Bsession_id%5D=631b9bad-599f-4d61-ae23-5247d6093c04&secure%5Btoken%5D=3f0a6dd113b7a225dfaf59c37c3d52734b0bd82976fdb4100d93d8c15d63dd1e&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)