Cast AI: Kubernetes Cost Monitoring and Optimization
Cast AI helps companies manage Kubernetes spend through automated resource adjustment. It is designed for teams seeking to reduce cloud waste and avoid manual capacity planning.
At a glance
- Category
- Finance & Accounting
- Best for
- Software companies, Enterprise companies, DevOps teams, Platform engineers, AI and ML startups
- Pricing
- A free plan is available for Kubernetes expense management. Pricing for advanced automation and optimization is not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Kubernetes Spend Analysis, Resource Rightsizing, GPU Resource Monitoring, Infrastructure Efficiency
- Integrations
- Grafana, Terraform, Crossplane, Prometheus, Jira
- Official website
- cast.ai/cloud-cost-monitoring/
Cast AI is an Application Performance Automation platform for Kubernetes environments. It provides visibility into cloud spending by tracking resource utilization at the namespace, workload, and allocation group levels across multiple cloud providers.
The tool is intended for DevOps and platform engineering teams. It helps these teams identify cost drivers and supports the transition from manual rightsizing to automation to align provisioned resources with actual usage.
Beyond monitoring, the platform includes features for GPU utilization tracking and workload autoscaling. Buyers should confirm if their specific cloud provider and Kubernetes distribution are supported to ensure the automation features function as expected.
Key Features
Provides breakdowns of Kubernetes spending across workloads, namespaces, and resource allocation groups.
Sends alerts when a cluster experiences unusual cost changes to help identify spend spikes.
Tracks GPU usage across individual workloads to help identify underutilized compute resources.
Adjusts CPU and RAM to help align resource allocation with application needs.
Offers a view of provisioned versus actual usage patterns for CPU, GPU, and memory.
Supports the transition to Spot instances for eligible workloads to reduce costs.
Use Cases
Using breakdowns to identify which namespaces or workloads are driving the highest cloud costs.
Reducing cloud waste by adjusting resource requests based on actual utilization patterns.
Monitoring GPU usage for AI and ML workloads to help ensure compute resources are used efficiently.
Using bin packing and automated node provisioning to help lower the number of required cloud instances.
Best For
Integrations
Pricing
A free plan is available for Kubernetes expense management. Pricing for advanced automation and optimization is not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
Cast AI monitors Kubernetes costs in real time and provides automation tools to optimize resource utilization.
The platform integrates with AWS, GCP, Azure, and Oracle Cloud.
Cast AI offers free Kubernetes expense management with real-time tracking; however, optimization features may require a paid plan.
It identifies the gap between provisioned and actual resources and supports automation through bin packing, Spot Instance management, and workload autoscaling.
Source category: Finance & Accounting
Source subcategory: IT Infrastructure Monitoring
