Cast AI - K8s cost monitoring and optimization

Overview

CAST AI is an intelligent, fully automated platform designed for Kubernetes cost monitoring and optimization across Google Kubernetes Engine (GKE) clusters. More than just a monitoring and recommendation tool, the platform leverages advanced machine learning to continuously analyze cluster behavior and automatically apply optimizations. This enables organizations to reduce cloud infrastructure costs by 50% or more, while simultaneously improving performance, reliability, and overall DevOps and engineering productivity.

Free Kubernetes Cost Monitoring

CAST AI offers free Kubernetes cost monitoring for GKE clusters. By connecting one or multiple clusters, users gain immediate access to detailed cost visibility, with reporting that can be customized by cluster, namespace, and tags. The platform provides real-time cost analysis down to minutes, hours, or any selected time range, including insights into spending, utilization, requested versus provisioned CPU and memory, and more.

All historical and time-series data remains fully accessible, allowing long-term comparisons without data retention limits. Additionally, metrics can be integrated with Grafana or other observability tools already in use.

Automated Kubernetes Cost Optimization with 50%+ Savings

CAST AI delivers significant cost reductions through fully automated Kubernetes cost optimization. Within minutes of activation, GKE clusters can be optimized using real-time autoscaling, intelligent rightsizing, automated spot instance usage, and dynamic selection of the most cost-efficient compute instances.

The platform provides full transparency through a Savings Report available in the free monitoring plan, enabling users to preview potential savings before enabling automation. Once automation is activated, CAST AI immediately applies the optimizations and continuously maintains cluster efficiency over time.

Intelligent Automation Beyond Recommendations

Unlike traditional recommendation engines, CAST AI continuously understands application requirements and workload behavior, making real-time adjustments to balance cost efficiency and performance. Its automation-first approach reduces the operational burden of managing cloud infrastructure, allowing engineering teams to focus on delivering high-quality products instead of managing cloud complexity.

Organizations using CAST AI benefit from improved cost control, more efficient use of engineering resources, and increased profit margins—all without additional operational effort. As a result of continuous optimization, CAST AI customers achieve average savings of up to 63% on their Kubernetes cloud expenditures.