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CAST AI description
CAST AI helps businesses using Kubernetes (software for managing applications) save money on their cloud computing costs. It does this by automatically adjusting your cloud resources in real-time to ensure you're only paying for what you actually use. CAST AI promises savings of up to 50% on your cloud bill without compromising the speed or stability of your applications. It integrates with major cloud providers and provides easy-to-understand cost monitoring tools.
Who is CAST AI best for
CAST AI is a Kubernetes cost optimization platform ideal for small and medium-sized businesses (SMBs) looking to significantly reduce their cloud spending. Users praise its automated cost savings of 30-70% and easy setup. However, some have noted occasional bugs and inaccurate cost estimations. If your company uses Kubernetes and wants to optimize cloud costs, CAST AI is worth considering.
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Best for small to mid-sized businesses using Kubernetes.
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Suitable for various industries seeking cloud cost optimization.
CAST AI features
| Supported CAST AI automatically adjusts cloud resources in real-time to ensure users only pay for what they use, leading to potential savings. |
| Supported CAST AI leverages spot instances to minimize cloud spending while mitigating the risk of interruptions. |
| Supported CAST AI automatically analyzes workload requirements and adjusts CPU and memory allocations, optimizing resource utilization and cost. |
| Supported CAST AI supports ARM architecture, enabling users to leverage cost-effective ARM-based instances for their Kubernetes workloads. |
| Supported CAST AI uses Container Live Migration to ensure continuous uptime during cluster upgrades and maintenance without affecting application availability. |
| Supported CAST AI provides right-sizing recommendations within the Efficiency report to help users optimize resource allocation. |
| Supported CAST AI analyzes workload characteristics and provides optimized cluster configurations for improved performance and resource utilization. |
CAST AI reviews
We've summarised 51 CAST AI reviews (CAST AI TrustPilot reviews and CAST AI G2 reviews) and summarised the main points below.
- Significant cost savings, ranging from 30% to 70%, on cloud platforms like AWS, Azure, and GCP.
- Easy and fast setup and onboarding process, often completed in minutes.
- Excellent and responsive customer support, readily available via various channels.
- Automated cluster scaling and optimization features like bin packing and right-sizing.
- Effective use of spot instances for additional cost reduction.
- Occasional breaking changes during updates require customer intervention.
- UI bugs are encountered sometimes, impacting user experience.
- Azure support for new features can lag behind other cloud providers.
- Inaccurate cost estimations, particularly in Azure.
- Limited reporting functionalities, such as a 1-month history and lack of export options.
CAST AI pricing
The commentary is based on 25 reviews from CAST AI G2 reviews and CAST AI TrustPilot reviews.
CAST AI users report significant cost savings on their cloud bills, often ranging from 30-78%. While some mention a potentially high price, others were able to negotiate fixed pricing or found the savings justified the cost. Free cost analysis tools are also available.
See the CAST AI pricing page.
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CAST AI has a free plan.
Free Monitoring
Provides unlimited Kubernetes monitoring, cost reduction insights, and actionable recommendations. It includes free Kubernetes cost monitoring, actionable cost recommendations, and the ability to analyze unlimited clusters.
Growth
Includes all Free Plan features plus automated optimization, intelligent up and down scaling, rebalancing, stable cloud costs, spot instance automation, and Kubernetes security features.
Growth PRO
Includes all Growth features plus dedicated onboarding, dedicated support on weekdays, and higher optimization levels.
Enterprise
Includes all Growth PRO features plus enterprise SSO, first-class onboarding, multi-team support, platinum support 24/7, and Slack Connect chat.
CAST AI alternatives
Spot by NetAppHas broader integrations beyond Kubernetes, including support for other cloud-native technologies and containerized applications. Spot by NetApp is growing faster in terms of website traffic.Read more
Pepperdata Capacity OptimizerBetter fit for enterprise companies using Spark on Amazon EMR or EKS. Focuses on optimizing Spark workloads for cost savings, unlike CAST AI's broader Kubernetes optimization. Has slightly higher user ratings, but slower growth.Read more
Aurea CRMBetter for sales teams needing a comprehensive customer view. Aurea CRM is a strong Salesforce Sales Cloud and Zoho CRM alternative. Offers hybrid cloud deployment and mobile apps. However, it has negative pricing sentiment and slower momentum.Read more
Aurea MonitorBetter for general IT monitoring and proactive issue identification. Has broader applicability across IT infrastructure, while CAST AI focuses on Kubernetes cost optimization. Aurea Monitor is growing faster in website traffic but has declining employee growth.Read more
JumpCloudBetter for mid-sized companies needing user, device, and access management. Broader industry fit, including Healthcare, Finance, and Manufacturing. Is growing faster in website traffic but slower in employee growth. Lower ratings on Glassdoor. More features focused on access management and integrations.Read more
SolarWinds Service DeskBetter for IT support and asset management. A better SolarWinds Service Desk alternative for small to mid-sized businesses. More suitable for a wider range of industries. Higher ratings and positive user reviews. More positive pricing sentiment.Read more
CAST AI FAQ
What is CAST AI and what does CAST AI do?
CAST AI is a Kubernetes cost optimization platform that helps businesses save on cloud expenses. It automates resource scaling and utilizes spot instances, reducing cloud bills by up to 70% without impacting performance. CAST AI integrates with major cloud providers and offers easy setup and excellent support.
How does CAST AI integrate with other tools?
CAST AI integrates with major cloud providers like AWS, Azure, and GCP. It also offers continuous security monitoring for Kubernetes environments, ensuring streamlined operations and cost optimization.
What the main competitors of CAST AI?
CAST AI's main competitors include Spot by NetApp, which offers similar cloud cost optimization features for Kubernetes. Other alternatives, though not direct competitors, include Pepperdata Capacity Optimizer (focused on Spark workloads) and cloud management platforms like JumpCloud.
Is CAST AI legit?
CAST AI is a legitimate Kubernetes cost optimization platform. Users report significant cost savings, easy setup, and excellent customer support. Some users mention occasional bugs and limited reporting features. If Kubernetes cost optimization is your goal, CAST AI is safe and worth considering.
How much does CAST AI cost?
CAST AI pricing includes a Free plan for monitoring. Paid plans start at $200/month + $5/CPU for Growth, $1000/month + $5/CPU for Growth PRO, and custom pricing for Enterprise. Is CAST AI worth it? It depends on your needs and budget, but the free tier allows you to explore its core features.
Is CAST AI customer service good?
CAST AI's customer support receives overwhelmingly positive feedback. Users praise the team's responsiveness, helpfulness, and expertise, highlighting their quick responses and willingness to offer assistance beyond cost analysis. While some users mention occasional UI bugs and breaking changes, these do not detract from the overall positive sentiment towards their support.
Reviewed by
Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.