Discover how Cast identifies Spot Instances with low interruption rates and prioritizes them when scaling clusters.

Cast AI is a platform offering insights, tutorials, and resources for cloud infrastructure and Kubernetes users. Readers can learn about cloud-native technologies, container orchestration, and infrastructure optimization. With tutorials, best practices, and case studies, Cast AI helps organizations optimize their cloud resources and streamline their Kubernetes deployments.

Cast AI

Cast AI introduces a machine learning feature that reduces spot instance interruptions by 23-40% across AWS, GCP, and Azure. The system uses survival analysis to identify historically reliable spot instances and automatically prioritizes them during cluster scaling. Some Azure clusters achieved up to 94% interruption reduction. The feature integrates with Cast AI's autoscaler to balance cost efficiency with workload stability by selecting spot instances with lower interruption probabilities based on real-time data analysis.

Intelligent Spot Instance Availability: How Machine Learning Reduces Interruptions by up to 94%

Customer impact: measured interruption reductions

Survival analysis: a statistical approach to Spot Instance reliability

Automating Spot Instance selection: integration with Cast AI Autoscaler