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CAST AI has been a game-changer for companies dealing with Kubernetes cost optimization. With its optimized financial performance, …
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What is CAST AI?
CAST AI combines AI-driven cloud cost monitoring, management and security insights for Kubernetes. The platform aims to cut the user's cloud bill in half, boost the power of DevOps 10X, and guarantee business continuity by preventing downtime.
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What is CAST AI?
CAST AI combines AI-driven cloud cost monitoring, management and security insights for Kubernetes. The platform aims to cut the user's cloud bill in half, boost the power of DevOps 10X, and guarantee business continuity by preventing downtime.
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What is CAST AI?
CAST AI combines AI-driven cloud cost monitoring, management and security insights for Kubernetes. The platform aims to cut the user's cloud bill in half, boost the power of DevOps 10X, and guarantee business continuity by preventing downtime.
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CAST AI - Kubernetes Cost Optimization for your EKS, GKE and AKS clusters
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CAST AI has been a game-changer for companies dealing with Kubernetes cost optimization. With its optimized financial performance, businesses can reduce Kubernetes costs by up to 78%, making it one of the most effective tools in the market to save money on container orchestration. Users have experienced first-hand how CAST AI's autoscaling and cluster management capabilities make scaling more cost-effective, especially for large-scale performance-driven deployments. This approach eliminates excessive cost in the staging cluster and moves away from node groups.
CAST AI's automation solution has also helped users in identifying cost-saving opportunities by allowing them to use spot instances, which gives them better sizing options leading to significant cost savings. The platform also provides visibility into cloud costs, helping users allocate resources properly for workloads. It is no surprise that CAST AI is highly recommended among consultancy companies as it allows them to switch to microservices without a lot of K8s qualified DevOps.
CAST AI's efficient engineering abilities stand out as one of its main benefits. One user commented they appreciated that it allowed them to cost optimize in different ways, and another spoke of how CAST AI's eye-opening experience showed improvements in their environment for free, resulting in cost optimization and saving identification. Lastly, developers have also praised CAST AI's automation capabilities for speeding up implementation and build pipelines, not slowing them down while waiting for builds.
Cost-effectiveness: Multiple users have found CAST AI to be a cost-effective solution for Kubernetes autoscaling, resulting in significantly reduced AWS costs. The platform's bin-packing of nodes and evictor feature helped reduce the operational cost of the Kubernetes cluster for some users.
Ease of use and onboarding: Many reviewers have praised the seamless and easy-to-use onboarding process provided by CAST AI. Some users found it much easier to use than standard cloud optimizers, and appreciated the support provided by the team during this process.
Autoscaling and optimization features: Several users appreciated the autoscaling feature provided by CAST AI, which helped them achieve steady performance with minimized costs. They also liked that they could review costs and optimize within their applications using the platform's instance type optimization, scheduling, and other features.
Confusing UI: Some users have found the CAST AI user interface to be confusing and not very intuitive. They struggled with choosing between creating or connecting cluster options without onboarding support, which made it difficult for them to get started.
Missing Features: Several reviewers mentioned that they missed some optional features that they may or may not need. They also felt that the feature set could be richer and were disappointed that CAST AI only supports EKS despite running on GKE.
Poor Onboarding Support: A few users expressed difficulty in starting to use CAST AI via self-service e-commerce due to poor onboarding support. They suggested that CAST AI should consider other providers or improve its current user interface to make it more accessible for new customers.