What is CAST AI?
CAST AI is an autonomous Kubernetes platform designed to significantly reduce cloud costs, automate DevOps tasks, and enhance security for businesses running applications on Kubernetes. This comprehensive platform leverages AI to optimize resource allocation, improve application performance, and simplify Kubernetes management across major cloud providers like AWS, Azure, and GCP.
Key Features:
🤖 Automated Cloud Cost Optimization:
Continuously monitors and adjusts your Kubernetes cluster configuration in real-time, leveraging features like autoscaling, bin packing, and spot instance automation to cut cloud costs by up to 50%.
📊 Kubernetes Cost Monitoring:
Provides a centralized dashboard for real-time cost visibility, allowing you to track expenses by cluster, namespace, workload, and more, empowering data-driven decisions.
🛡️ Kubernetes & Container Security:
Automates security best practices and vulnerability detection for containers and Kubernetes applications. It automatically prioritizes and applies fixes to strengthen your security posture.
⚙️ Automated Kubernetes Management:
Streamlines Kubernetes operations through continuous monitoring and automated adjustments to ensure optimal cluster performance. This includes features like automatic scaling and resource allocation.
🧠 AI Enabler for Gen AI:
Enables efficient and cost-effective deployment of Large Language Models (LLMs) for Generative AI applications by automating model selection and resource optimization.
Use Cases:
E-commerce Platform Scaling:
An e-commerce company experiencing fluctuating traffic can utilize CAST AI to automatically scale their Kubernetes deployments during peak seasons and scale down during off-peak periods, ensuring optimal performance and minimizing cloud costs.
SaaS Application Optimization:
A Software-as-a-Service provider can leverage CAST AI to optimize resource allocation for their Kubernetes-based application, ensuring high availability and performance while significantly reducing cloud infrastructure expenses.
Machine Learning Model Deployment:
A data science team can utilize CAST AI’s AI Enabler to streamline the deployment and management of their machine learning models on Kubernetes, optimizing resource utilization and accelerating model training and inference.
Conclusion:
CAST AI empowers businesses to unlock the full potential of Kubernetes without the complexities and costs traditionally associated with its management. Through its autonomous optimization and security features, CAST AI enables companies to focus on building and deploying applications while significantly reducing cloud expenses and enhancing operational efficiency.
More information on CAST AI
Launched
2017-12
Pricing Model
Paid
Starting Price
Global Rank
208965
Follow
Month Visit
168.8K
Tech used
Google Tag Manager,cdnjs,Cloudflare CDN,WordPress,Google Fonts,jQuery,Gzip,JSON Schema,OpenGraph,HSTS
Top 5 Countries
16.43%
11.89%
10.34%
4.33%
3.1%
United States
United Kingdom
India
Germany
Brazil
Traffic Sources
3.54%
1.09%
0.16%
8.75%
49.99%
36.46%
social
paidReferrals
mail
referrals
search
direct
Source: Similarweb (Sep 24, 2025)
CAST AI was manually vetted by our editorial team and was first featured on 2024-11-25.
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