
Cast AI
Cut cloud costs, improve application performance, and boost DevOps efficiency

Cast AI is an intelligent Kubernetes automation platform that offers live migration for AWS EKS, enabling users to migrate stateful workloads with zero downtime. The platform provides application performance automation by automating and optimizing the entire application stack, including Kubernetes cluster optimization, security, workload optimization, LLM optimization for AIOps, cost monitoring, and database optimization. Cast AI integrates with various cloud services and tools, offering solutions for migration of stateful workloads, inference at scale, and cutting AI costs without sacrificing scale. The platform helps users improve performance, reduce costs, and boost productivity through end-to-end application performance automation.
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Features
- Kubernetes cluster optimization
- Kubernetes cost monitoring
- Kubernetes workload optimization
- Kubernetes security
- LLM optimization for AIOps
Advantages
- Automate and optimize application stack
- Secure Kubernetes containers and applications
- Rightsize Kubernetes workloads for optimized performance
- Gain detailed insights into LLM expenses
- Improve database performance with automated caching
Disadvantages
- May require learning curve for new users
- Integration with existing systems may be complex
- Limited customization options for advanced users
Frequently Asked Questions
-
Q:How does Cast AI help in cutting cloud costs?
A:Cast AI automates right-sizing workloads, bin-packing resources, and scaling clusters to reduce overprovisioning. -
Q:What integrations does Cast AI support?
A:Cast AI integrates with AWS, GCP, Azure, Terraform, Grafana, Prometheus, Jira, Helm, and more. -
Q:What are the advantages of using LLM optimization for AIOps?
A:Users can gain detailed insights into LLM expenses and automate LLM selection for cost-effective Gen AI applications.
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